Category Archives: Online gaming

Myth world: A brief look at some myths about Gaming Disorder

Earlier this year, the World Health Organisation announced that ‘Gaming Disorder’ (GD) was to be officially been included in the latest (eleventh) edition of the International Classification of Diseases (ICD-11). The announcement received worldwide media coverage alongside many debates as to whether its inclusion was justified based on the scientific evidence. The extensive media coverage raised many questions but also appeared to give rise to a number of myths. In this blog, I address these myths in the British context but some of these myths also have resonance outside the UK.

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Myth 1 – Gaming Disorder equates to gaming addiction. Almost all of the worldwide press coverage for GD in June 2018 was equated with gaming addiction. However, the World Health Organization (WHO) does not describe GD as an addiction and the WHO criteria for GD do not include criteria that I believe are core to being genuine addictions (such as tolerance and withdrawal symptoms). Confusingly, the criteria for Internet Gaming Disorder (IGD) in the latest (fifth) edition of the Diagnostic Manual of Mental Disorders (DSM-5) does include all my core criteria of addiction. However, to be diagnosed with IGD, an individual does not necessarily have to endorse all the core addiction criteria. In short, all genuine gaming addicts are likely to be diagnosed as having GD and/or IGD but not all those with GD and/or IGD are necessarily gaming addicts.

Myth 2 – Gaming has many benefits so should not be classed as a disorder as it will create a ‘moral panic’: Predictably, the videogame industry has not welcomed the WHO’s decision to include GD in the ICD-11 and issued a statement to say gaming has many personal benefits and that GD will create moral panic and ‘abuse of diagnosis’. None of us in the field dispute the fact that gaming has many benefits but many other activities such as work, sex, and exercise can be disordered and addictive for a small minority, and is not a good basis for denying the existence of GD. The videogame industry also claims the empirical basis for GD is highly contested but then ironically uses non-empirical claims (i.e., that the introduction of GD will cause a moral panic and lead to diagnostic abuse by practitioners) as a core argument for why GD should not exist.

Myth 3 – Gaming Disorder is associated with other comorbidities so is not a separate disorder. In coverage concerning GD, those denying the existence of GD sometimes resort to the argument that problematic gaming is typically comorbid with other mental health conditions (e.g., depression, anxiety disorders, etc.) and therefore should not be classed as a separate disorder. However, such an argument is not applied (for instance) to those with alcohol use disorder or gambling disorder which are known to be associated with other comorbidities. In fact, we recently published some case studies in the International Journal of Mental Health and Addiction highlighting those attending treatment for GD included individuals both with and without underlying comorbidities. Consequently, diagnosis of disorders should be based on the external symptomatic behavior and consequences, not on the underlying causes and etiology.

Myth 4 – Gaming Disorder can now be treated for free by the National Health Service: Unlike many other countries, the UK has a National Health Service (NHS) whose treatment services can be accessed free of charge. A number of British newspapers reported that inclusion of GD in the ICD-11 meant that those with GD can now get free treatment. However, this claim is untenable and is unlikely to happen. All health trusts in the UK have a finite budget and allocate resources to those conditions considered a priority. Treating individuals with GD will rarely (if ever) be given priority over treatment for cancer, heart disease, schizophrenia, depression, etc. In countries where private health insurance is the norm, GD is likely to be a condition excluded for treatment on such policies even though it is now in the ICD-11. 

Myth 5 – The inclusion of Gaming Disorder as a mental disorder will lead to ‘millions’ of children being stigmatized for their videogame playing: This myth has been propagated by a group of scholars (mainly researchers working in the media studies field) but is completely unsubstantiated. The number of children who would ever be officially be diagnosed as having GD is extremely low and – as noted above – millions of children play videogames for enjoyment without any problems or stigma.

(Please note: This article is based on an editorial that I first published earlier this year: Griffiths, M.D. (2018). Five myths about gaming disorder. Social Health and Behavior Journal, 1, 2-3)

Dr Mark Griffiths, Distinguished Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Aarseth, E., Bean, A. M., Boonen, H., Colder Carras, M., Coulson, M., Das, D., … & Haagsma, M. C. (2017). Scholars’ open debate paper on the World Health Organization ICD-11 Gaming Disorder proposal. Journal of Behavioral Addictions, 6(3), 267-270.

Gentile, D.A., Bailey, K., Bavelier, D., Funk Brockmeyer, J., … & Young, K. (2017). The state of the science about Internet Gaming Disorder as defined by DSM-5: Implications and perspectives, Pediatrics, 140, S81-S85. doi: 10.1542/peds.2016-1758H

Griffiths, M.D.  (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10, 191-197.

Griffiths, M.D. (2017). Behavioural addiction and substance addiction should be defined by their similarities not their dissimilarities. Addiction, 112, 1718-1720.

Griffiths, M.D. (2018). Conceptual issues concerning internet addiction and internet gaming disorder. International Journal of Mental Health and Addiction, 16, 233-239.

Griffiths, M.D., Kuss, D.J., Lopez-Fernandez, O., & Pontes, H.M. (2017). Problematic gaming exists and is an example of disordered gaming. Journal of Behavioral Addictions, 6, 296-301.

European Games Developer Foundation. Statement on WHO ICD-11 list and the inclusion of gaming. 2018 June 15. Available from: http://www.egdf.eu/wp-content/uploads/2018/06/Industry-Statement-on-18-June-WHO-ICD-11.pdf

Király, O., Griffiths, M.D. & Demetrovics Z. (2015). Internet gaming disorder and the DSM-5: Conceptualization, debates, and controversies, Current Addiction Reports, 2, 254–262.

Király, O., Griffiths, M.D., King, D., Lee, H-K., Lee, S-Y., Bányai, F., Zsila, A. Demetrovics, Z. (2018). An overview of policy responses to problematic videogame use. Journal of Behavioral Addictions, 7, 503-517.

Kuss, D.J., Griffiths, M.D. & Pontes, H.M. (2017). Chaos and confusion in DSM-5 diagnosis of Internet Gaming Disorder: Issues, concerns, and recommendations for clarity in the field. Journal of Behavioral Addictions, 6, 103-109.

Kuss, D.J., Pontes, H.M. & Griffiths, M.D. (2018). Neurobiological correlates in Internet Gaming Disorder: A systematic review. Frontiers in Psychiatry, 9, 166. doi: 10.3389/fpsyt.2018.00166

Griffiths, M.D., Van Rooij, A., Kardefelt-Winther, D., Starcevic, V., Király, O…Demetrovics, Z. (2016). Working towards an international consensus on criteria for assessing Internet Gaming Disorder: A critical commentary on Petry et al (2014). Addiction, 111, 167-175.

Rumpf, H. J., Achab, S., Billieux, J., Bowden-Jones, H., Carragher, N., Demetrovics, Z., … & Saunders, J. B. (2018). Including gaming disorder in the ICD-11: The need to do so from a clinical and public health perspective: Commentary on: A weak scientific basis for gaming disorder: Let us err on the side of caution (van Rooij et al., 2018). Journal of Behavioral Addictions, 7(3), 556-561.

Torres-Rodriguez, A., Griffiths, M.D., Carbonell, X. Farriols-Hernando, N. & Torres-Jimenez, E. (2018). Internet gaming disorder treatment: A case study evaluation of four adolescent problematic gamers. International Journal of Mental Health and Addiction, https://doi.org/10.1007/s11469-017-9845-9.

Every little ring: Another look at excessive smartphone use

Last week I did seven back-to-back BBC radio interviews concerning my thoughts on a new study on smartphone use carried out by Opinium Research for Virgin Mobile and reported in a number of papers including the Daily Mail. The company surveyed 2,004 British adults (aged 18 years and over) who own a smartphone as well 200 British teenagers and tweenagers aged between 10 and 17 years. The main findings were that:

  • British adults receive an average of 33,800 mobile phone messages and alerts annually
  • British adults spend the equivalent of 22 days a year checking messages on their smartphones (an average of 26 minutes a day)
  • An average smartphone user gets 93 buzzes a day
  • Those aged between 18 and 24 years have almost three times more messages receiving 239 messages and alerts a day on average (approximately 87,300 a year).
  • On average, Britons are members of six chat groups, although a small minority (2%) are members of 50 groups or more, rising to 7% among those aged 18 to 24 years.
  • One in four adults say they check a WhatsApp message instantly, with this increasing to almost one in three among 18 to 24-year-olds.
  • Smartphone users receive 427% more messages and notifications than they did a decade ago
  • Smartphone users sent 278% more messages than they did a decade ago

The survey found a contributing factor behind the surge in the number of messages received was the rise of group chats on platforms like WhatsApp and Facebook. In the press release, Dr Dimitrios Tsivrikos (consumer and business psychologist at University College London) said:

“The boom in smartphone use was a positive trend and allowed consumers greater control over their lives. In an age where we are constantly surrounded by endless tasks, always flooded with a sea of data, smartphones allow us to manage our lives in a way that suits us. From calendars and reminders, to emails and instantaneous access to an encyclopaedia of human knowledge, smartphones give us total control, right at our fingertips.”

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There was nothing in the study that I found particularly surprising but I was hoping to see what survey had found from those under 18 years of age (but nothing was reported in the national newspapers and I’ve been unable to track down anything beyond the press release).

In my radio interviews, most of the presenters wanted to know the extent to which individuals are now ‘addicted’ to their mobile phones. I then trotted out my usual response that ‘people are no more addicted to their smartphones than alcoholics are addicted to a bottle’ and said if there was anything addicting then it was the application (e.g., gaming, gambling, shopping, social networking, etc.) rather than the smartphone itself. I also went through the addiction components model and hypothesized what the behaviour of a smartphone addict would look like if they were genuinely addicted to their smartphone applications:

  • Salience – This occurs when using a smartphone becomes the single most important activity in the person’s life and dominates their thinking (preoccupations and cognitive distortions), feelings (cravings) and behaviour (deterioration of socialised behaviour). For instance, even if the person is not actually on their smartphone they will be constantly thinking about the next time that they will be (i.e., a total preoccupation with smartphone use).
  • Mood modification – This refers to the subjective experiences that people report as a consequence of using their smartphone and can be seen as a coping strategy (i.e., they experience an arousing ‘buzz’ or a ‘high’ or paradoxically a tranquilizing feel of ‘escape’ or ‘numbing’ whenever they use their smartphone).
  • Tolerance – This is the process whereby increasing amounts of time on a smartphone are required to achieve the former mood modifying effects. This basically means that for someone engaged on a smartphone, they gradually build up the amount of the time they spend using a smartphone every day.
  • Withdrawal symptoms – These are the unpleasant feeling states and/or physical effects (e.g., the shakes, moodiness, irritability, etc.), that occur when the person is unable to access their smartphone because they have mislaid or lost it, are too ill to use it, in a place with no reception, etc.
  • Conflict – This refers to the conflicts between the person and those around them (interpersonal conflict), conflicts with other activities (social life, hobbies and interests) or from within the individual themselves (intra-psychic conflict and/or subjective feelings of loss of control) that are concerned with spending too much time on a smartphone.
  • Relapse – This is the tendency for repeated reversions to earlier patterns of excessive smartphone use to recur and for even the most extreme patterns typical of the height of excessive smartphone use to be quickly restored after periods of control.

Using these criteria, I then went on to say that very few people would be classed as addicted to their smartphones. However, I did point out that such behaviour is on a continuum and that there may be a growing number of people that experience problematic smartphone use rather than being addicted. The examples I used included those individuals who would rather spend time on their smartphone than spending it with their partner and/or children, or individuals who spend so much time on their smartphone that it impacts on their job or their education (depending upon how old they are). Neither of these on their own (or together) necessarily indicate addictive use of smartphones but could be a sign that such individuals are at risk for developing an addiction to the applications on their smartphone. However, I would still argue that someone that spends all their time on social networking sites and social media (via their mobile phone) are a social media addict rather than a smartphone addict although others might see this as a semantic difference rather than a difference of substance. Whatever we call the behaviour, there does seem to be growing evidence that smartphones play a major role in people’s lives and that a small minority appear to have problematic use (as outlined in a number of studies that I have co-authored – see ‘Further reading’ below).

Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D.J. & Griffiths, M.D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2, 154-162.

Carbonell, X., Chamarro, A., Beranuy, M., Griffiths, M.D. Oberst, U., Cladellas, R. & Talarn, A. (2012). Problematic Internet and cell phone use in Spanish teenagers and young students. Anales de Psicologia, 28, 789-796.

Csibi, S., Griffiths, M.D., Cook, B., Demetrovics, Z., & Szabo, A. (2018). The psychometric properties of the Smartphone: Applications-Based Addiction Scale (SABAS). International Journal of Mental Health and Addiction. doi: 10.1007/s11469-017-9787-2

Griffiths, M.D. (2013). Adolescent mobile phone addiction: A cause for concern? Education and Health, 31, 76-78.

Hussain, Z., Griffiths, M.D. & Sheffield, D. (2017). An investigation in to problematic smartphone use: The role of narcissism, anxiety, and personality factors. Journal of Behavioral Addictions, 6, 378–386.

Lopez-Fernandez, O., Kuss, D.J., Griffiths, M.D., & Billieux, J. (2015). The conceptualization and assessment of problematic mobile phone use. In Z. Yan (Ed.), Encyclopedia of Mobile Phone Behavior (Volumes 1, 2, & 3) (pp. 591-606). Hershey, PA: IGI Global.

Lopez-Fernandez, O., Kuss, D.J., Romo, L. Morvan, Y., Kern, L., … Griffiths, M.D., … Billieux, J. (2017). Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey. Journal of Behavioral Addictions, 6, 168-177.

Lopez-Fernandez, O., Männikkö, N., Kääriäinen, M., Griffiths, M.D., & Kuss, D.J. (2018). Mobile gaming does not predict smartphone dependence: A cross-cultural study between Belgium and Finland. Journal of Behavioral Addictions. doi: 10.1556/2006.6.2017.080

Richardson, M., Hussain, Z. & Griffiths, M.D. (2018). Problematic smartphone use, nature connectedness, and anxiety. Journal of Behavioral Addictions. doi: 10.1556/2006.7.2018.10

 

Eyes on the prize: Is the buying of loot boxes in videogames a form of gambling?

The buying of loot boxes takes place within online videogames and are (in essence) virtual games of chance. Players use real money to buy virtual in-game items and can redeem such items by buying keys to open the boxes where they receive a chance selection of further virtual items. Other types of equivalent in-game virtual assets that can be bought include crates, cases, chests, bundles, and card packs. The virtual items that can be ‘won’ can comprise basic customization (i.e., cosmetic) options for a player’s in-game character (avatar) to in-game assets that can help players progress more effectively in the game (e.g., gameplay improvement items such as weapons, armor). All players hope that they can win ‘rare’ items and are often encouraged to spend more money to do so because the chances of winning such items are minimal. Many popular videogames now feature loot boxes (or equivalents) including Overwatch, Middle-earth: Shadow of War, Star Wars Battlefront 2, FIFA Ultimate Team, Mass Effect: Andromeda, Fortress 2, Injustice 2, Lawbreakers, Forza Motorsport 7, and For Honor. In short, all of these require the paying of real money in exchange for a completely random in-game item. In an interview with Eurogamer, psychologist Jamie Madigan said:

“Whenever you open [a loot box], you may get something awesome (or you may get trash). This randomness taps into some of the very fundamental ways our brains work when trying to predict whether or not a good thing will happen. We are particularly excited by unexpected pleasures like a patch of wild berries or an epic skin for our character. This is because our brains are trying to pay attention to and trying to figure out such awesome rewards. But unlike in the real world, these rewards can be completely random (or close enough not to matter) and we can’t predict randomness. But the reward system in your brain doesn’t know that. Buying [loot boxes] puts them into the same category of packs of Pokémon cards or baseball cards. Unlike gambling in a casino, you’re going to get something out of that pack. Maybe just not the thing you wanted”.

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Although there are many definitions in many disciplines defining gambling, there are a number of common elements that occur in the majority of gambling instances that distinguish ‘true’ gambling from mere risk-taking. These include: (i) the exchange is determined by a future event, which at the time of staking money (or something of financial value) the outcome is unknown, (ii) the result is determined (at least partly or wholly) by chance, (iii) the re-allocation of wealth (i.e., the exchange of money [or something of financial value] usually without the introduction of productive work on either side, and (iv) losses incurred can be avoided by simply not taking part in the activity in the first place. Added to this it could be argued that the money or prize to be won should be of greater financial value than the money staked in the first place. Based on these elements, the buying of loot boxes (or equivalents) would be classed as a form of gambling, as would other activities such as the Treasure Hunter and Squeal of Fortune games within the Runescape videogame and online penny auctions (which I have argued in previous papers – see ‘Further reading’).

In the UK Gambling Commission’s most recent (March 2017) position paper on virtual currencies and social casino gambling noted:

“One commonly used method for players to acquire in-game items is through the purchase of keys from the games publisher to unlock ‘crates’, ‘cases’ or ‘bundles’ which contain an unknown quantity and value of in-game items as a prize. The payment of a stake (key) for the opportunity to win a prize (in-game items) determined (or presented as determined) at random bears a close resemblance, for instance, to the playing of a gaming machine. Where there are readily accessible opportunities to cash in or exchange those awarded in-game items for money or money’s worth those elements of the game are likely to be considered licensable gambling activities [Section 3.17]…Additional consumer protection in the form of gambling regulation, is required in circumstances where players are being incentivised to participate in gambling style activities through the provision of prizes of money or money’s worth. Where prizes are successfully restricted for use solely within the game, such in-game features would not be licensable gambling, notwithstanding the elements of expenditure and chance [Section 3.18]”.

Consequently, the UK Gambling Commission does not consider loot boxes as a form of gambling because (they claim) the in-game items have no real-life value outside of the game. However, this is not the case because there are many websites that allow players to trade in-game items and/or virtual currency for real money. The Gambling Commission appear to acknowledge this point and claim that the buying of in-game loot boxes (and their equivalents) are not gambling but if third party sites become involved (by allowing the buying and selling of in-game items), the activity does become a form of gambling. As Vic Hood (in a 2017 article in Eurogamer) rightly notes, this appears to be a case of the law struggling to keep pace with technology. There are also issues surrounding age limits and whether games that offer loot boxes (or equivalents) should be restricted to those over the age of 18 years.

Predictably, those in the videogame industry do not view the buying of loot boxes as gambling either. For instance, Dirk Bosmans (from PEGI [Pan European Game Information], the European-based videogame rating organization) stated in a recent interview with Eurogamer that:

“Loot crates are currently not considered gambling: you always get something when you purchase them, even if it’s not what you hoped for. For that reason, a loot crate system does not trigger the gambling content descriptor. If something is considered gambling, it needs to follow a very specific set of legislation, which has all kinds of practical consequences for the company that runs it. Therefore, the games that get a PEGI gambling content descriptor either contain content that simulates what is considered gambling or they contain actual gambling with cash payouts. If PEGI would label something as gambling while it is not considered as such from a legal point of view, it would mostly create confusion. We are always monitoring such developments and mapping consumer complaints. We see a growing need for information about specific features in games and apps (social interaction, data sharing, digital purchases), but the challenge is that such features are rapidly becoming ubiquitous in the market, yet they still come in very different shapes and sizes.”

This appears somewhat hardline given that PEGI’s descriptor of gambling content is used whenever any videogame “teaches or encourages” gambling. Such a descriptor would arguably cover gambling-like games or activities and the buying of loot boxes is ‘gambling-like’ at the very least. The same stance has been taken by the Entertainment Software Rating Board (ESRB) which rates videogames in Canada and the USA. A spokesman for the ESRB told Eurogamer that:

“ESRB does not consider [the buying of loot boxes] to be gambling because the player uses real money to pay for and obtain in-game content. The player is always guaranteed to receive something – even if the player doesn’t want what is received. Think of it like opening a pack of collectible cards: sometimes you’ll get a brand new, rare card, but other times you’ll get a pack full of cards you already have. That said, ESRB does disclose gambling content should it be present in a game via one of two content descriptors: Simulated Gambling (player can gamble without betting or wagering real cash or currency) and Real Gambling (player can gamble, including betting or wagering real cash or currency). Neither of these apply to loot boxes and similar mechanics.”

At present, there are a number of countries (mainly in South East Asia such as China and Japan) who do view the buying of loot boxes as a form of gambling and have incorporated such activities into their gambling regulation. However, most countries have either not considered regulating the buying of loot boxes at all, or (like the UK) have ruled out that buying loot boxes does not currently meet their regulatory definition of gambling. Although there has been little published in academic journals on loot boxes, a number of articles in the trade press have claimed that the buying of loot boxes can be problematic and/or addictive because they are designed using highly similar reward schedules to those used in the design of slot machines. This is something that have also pointed out in relation to similar activities to the buying of loot boxes where individuals play for points rather than money. Personally, I view the buying of loot boxes as a form of gambling particularly because the ‘prizes’ won are (in financial terms) often a lot less than that of the price paid. Obviously I am out of step in relation to the regulators in my own country, but if third party websites continue to host services where in-game virtual items can be bought and sold, the activity definitely constitutes a form of gambling by almost any definition of gambling currently used in the field of social sciences.

(N.B. This article uses material from a paper I recently published in Gaming Law Review)

Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Alexandra, H. (2017). Loot boxes are designed to exploit us. Kotaku, October 13. https://kotaku.com/loot-boxes-are-designed-to-exploit-us-1819457592

Avard, A (2017). Video games have a loot box fetish, and it’s starting to harm the way we play. Games Radar, October 10. Located at: http://www.gamesradar.com/loot-boxes-shadow-of-war/

Gambling Commission (2017). Virtual currencies, esports and social casino gaming – position paper. Birmingham: Gambling Commission.

Griffiths, M.D. (2015). Adolescent gambling and gambling-type games on social networking sites: Issues, concerns, and recommendations. Aloma: Revista de Psicologia, Ciències de l’Educació i de l’Esport, 33(2), 31-37.

Griffiths, M.D. (2017). Is the buying of loot boxes in videogames a form of gambling or gaming? Gaming Law Review, 22(1), 52-54.

Griffiths, M.D. & Carran, M. (2015). Are online penny auctions a form of gambling? Gaming Law Review and Economics, 19, 190-196.

Griffiths, M.D. & King, R. (2015). Are mini-games within RuneScape gambling or gaming? Gaming Law Review and Economics, 19, 64-643.

Hood, V. (2017). Are loot boxes gambling? Eurogamer, October 12. Located at: Located at: http://www.eurogamer.net/articles/2017-10-11-are-loot-boxes-gambling

Lawrence, N, (2017). The troubling psychology of pay-to-loot systems. IGN, April 23. Located at: http://uk.ign.com/articles/2017/04/24/the-troubling-psychology-of-pay-to-loot-systems

Perks, M. (2016). Limited edition loot boxes: Problematic gambling and monetization. Cube, October 11. Located at: https://medium.com/the-cube/limited-edition-loot-boxes-problematic-gambling-and-monetization-756819f2c54f

Wikipedia (2017). Loot box (2017). Located at: https://en.wikipedia.org/wiki/Loot_box

Wiltshire, W. (2017). Behind the addictive psychology and seductive art of loot boxes. PC Gamer, September 29. Located at: http://www.pcgamer.com/behind-the-addictive-psychology-and-seductive-art-of-loot-boxes/

The born identity: Can online gaming help people with gender dysphoria?

About a year ago, my colleagues and I published what we believe is the very first study of the helping role that video gaming can play in the lives of transgender individuals. Before I get to that, it’s probably worth noting that there have been studies of how gamers and fans play with sexuality, gender, and the video game Minecraft on YouTube as well as papers discussing whether the gaming industry should cater for marginalized groups and develop games for groups where there is little representation within games (e.g., gay and transgendered characters). For instance, there is now a short autobiographical game by Auntie Pixellante called Dys4ia. This is a WarioWare-style game, played only with the arrow keys, chronicling the experiences of a trans woman rectifying her own gender dysphoria. Such videogames raise interesting questions about how those individuals with gender dysphoria utilize gaming as part of their identity.

In a previous blog I briefly looked at gender swapping in online video games including some of my own research. For instance, in 2003 I published a paper in the journal CyberPsychology and Behavior using secondary poll data from online gaming forums. The paper reported that of 10,350 players at the Everlore fan site, 15% had swapped the gender of their main in-game playing character. We also reported a similar finding among 8,694 players at the Allakhazam fan site with 15.5% reporting that they had gender swapped their main in-game character (and more specifically, 14.5% males and 1% were females who had changed the gender of their lead character). In a 2004 follow-up survey among 540 Everquest gamers (again in the journal CyberPsychology and Behavior) my colleagues and I reported that 60% had swapped their online in-game characters. The prevalence of gender swapping was probably much higher in this study because the question related to the gender swapping of any online game character not just their main playing character.

In a small exploratory study I published in 2008 with Dr. Zaheer Hussain in the International Journal of Mental Health and Addiction, we examined why people engaged in gender swapping in a self-selecting sample of 119 online gamers (mean age of 28.5 years). We reported that 57% of gamers had engaged in gender swapping (any character not just their main character), and that males adopting an online female persona believed there were a number of positive social attributes to becoming female characters in male-oriented gaming environments. The study also reported that significantly more females than males had gender swapped their character – mainly to prevent unsolicited male approaches on their female characters. Some females appeared to gender swap purely out of interest to see what would happen in the game (as a personal experiment), while others claimed that they were treated more favourably by male gamers when they played as a male character. Others reported that gender swapping enabled them to play around with aspects of their identity that would not be possible to explore in real life. Other reasons for gender swapping were that (i) female characters had better in-game statistics, (ii) some specific tools were only available with female characters, (iii) the class of character was sometimes only available in one gender, (iv) they played for fun, and/or (v) they did it to so something that they would not normally do in the game (i.e., they did it for a change in their usual playing behaviour).

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Outside of online gaming, a 2002 paper by Hegland and Nelson in the International Journal of Sexuality and Gender Studies noted that the Internet more generally can be used as a tool for expressing gender identity because it allows identities to cross cultural boundaries instantly and without regard for real physical space. They examined 30 cross-dressing websites and argued that for most cross-dressers that visited such websites, the online forum was their primary medium of expression. The users of the website used the Internet to nurture the ability to create a feminine identity, and helped them to pass as a woman in the offline public world. More generally, cross-dressers used the Internet to participate in the larger cultural dialogue of gender.

For an adult to meet current criteria for a diagnosis of transsexualism, the World Health Organisation’s International Classification of Diseases (ICD) reports they must express the desire to live and be accepted as a member of the opposite sex, usually accompanied by the wish to make his or her body as congruent as possible with the desired sex through surgery and cross-sex hormones. This transsexual identity must have been present persistently for a minimum of two years and not be a symptom of another mental disorder or a chromosomal abnormality. The latest (fifth) edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-5) of the American Psychiatric Association uses the term gender dysphoria to describe people who are uncomfortable and/or distressed regarding their assigned gender, their physical sex characteristics and/or their associated social roles. Depending upon the intensity of this distress, some individuals may wish to transition from one point on a notional gender scale to another. The most common direction is from a man to a woman (individuals known as trans women), or from a woman to a man (individuals known as trans men). The distress intrinsic to gender dysphoria may be focused around anatomy, physiology, and/or being perceived and treated as someone of a gender with which the person does not identify. However, these diagnostic labels do not apply to all trans individuals for a multitude of reasons because some people will not identify themselves as a man or as a woman

The World Health Organisation working group has recommended that the latest ICD replace the term Transsexualism with Gender Incongruence) and remove it from the mental and behavioural disorders chapter. Gender incongruence denotes the incongruence between a person’s gender identity and their assigned sex and/or congenital primary and secondary sex characteristics. The terminology in this field has changed over the years and the terms ‘transgender’ and ‘trans’ have been used in the literature as umbrella terms to cover a wide variety of atypical gender experiences and expressions which may lead to permanent change of social gender role but does not necessarily involve treatment with cross-sex hormones or surgical intervention. A recent study has reported an prevalence for transsexualism of 4.6 in 100,000 individuals; 6.8 for trans women and 2.6 for trans men, which is primarily based on studies looking at individuals attending clinical services. (However, it should be noted that recent population studies have reported a significantly higher prevalence rate of atypical gender experiences and expressions).

The study we published in the journal Aloma originated from initial observations made by Dr. Jon Arcelus that a number of gender dysphoric clients presenting at the national (UK) gender dysphoria clinic admitted that they gender-swapped while playing online games. After I met with Dr. Arcelus I suggested he revisit his case files and and to write them up as case studies (as no study in the gaming field has ever examined online gaming among those with gender dysphoria). The main objectives of our study were to use exemplar case studies to highlight that gaming – in some circumstances – appears to be a functional way of dealing with gender identity issues, and that gender swapping in gaming may help such individuals to come to terms with their gender dysphoria.

Our paper featured four case studies who attended an assessment at the National Centre for Gender Dysphoria in Nottingham. All four individuals described in our paper were given pseudonyms and the content of their histories were anonymised (and included ‘Mary’ a 26-year old natal male who fully transitioned to the female social role six months prior to our study; ‘Mark’ a 20-year old natal female who first attended for an assessment in the female role; ‘Paul’ a 31-year old natal male who would like to be female, but still living full-time as a male; and ‘Harry’ a 23-year old natal male who presented for an assessment as a male). If you want to read about each case in detail, the paper can be downloaded for free from here).

The four case studies outlined in our paper are only a selected sample of the number of cases attending a national clinic for people with gender dysphoria. However, they were in no way unusual to the other clients that have sought help at the Centre. However, these individual accounts were specifically selected to demonstrate the different ways that video gaming may help people with gender dysphoria come to terms with their gender identity. For example, gaming can be used among trans people as a psychological tool to increase one’s awareness of gender identity and/or as part of the self. Gaming may therefore be a useful way to express one’s experienced gender identity in a safe, non-threatening, non-alienating, non-stigmatizing, and non-critical environment. This appears to mirror other the findings of other studies outside of the online gaming environment.

Articles published in the mass media have reported that online games such as World of Warcraft provide a creative space that allows gamers that might be questioning aspects of their identity to explore their lives as different individuals. Some have even gone as far as to argue that this could help gamers transform their ‘offline’ identity, as is the case with some trans gamers. This was also demonstrated in the case studies described in our study. Other authors have asserted that the online medium offers an infinite space for development and resistance to traditional gender roles, and that online interaction enables a transgression of the dichotomous categories of male and female, constructing trans (or even genderless) social identities and relationships. However, although such anonymous online communities may provide trans individuals with the power to subvert their physical sex.

Our case studies also demonstrated the different functions of gaming in trans people (e.g., the function of “testing out” their gender feelings). For instance, using gaming to ‘come out’ to other people, by initially coming out in the online community, which is perceived as a safe environment, and then gradually coming out in real life. Gaming, as for many non-trans individuals, can derive psychological benefits and a sense of escapism. This is even more relevant among trans people as it may be the only time that they feel they can be themselves, allowing them to feel happy, relaxed, and achieving a sense of completeness. This could develop into a powerful coping skill substituting unhealthy behaviours, such as self-harming behaviour. This is particularly important in this population as research shows a strong association between being trans and mental health problems, particularly depression and self-harm as a way to manage one’s trans feelings. This is not surprising as the discomfort and distress about assigned gender and body dissatisfaction may lead to a sense of hopelessness, which can bring low mood, self-injury and even suicide.

Although gaming appears (at least initially) to be a positive and beneficial activity for many trans people, there is also the risk that staying in the game becomes too much of a secure and safe environment. This can create a vicious circle where the trans person does not wish to move out of the secure online world, and back into reality. Spending an increasing amount of time in online gaming carries the risk of developing a gaming dependence or addiction. This may not only affect one’s personal relationships, work and/or study, but may also impair real life social gender role transition, as in many cases, the individual is expected to socially transition before they can be considered for treatment.

Obviously our paper only included four participants and may be perceived by some researchers as ‘anecdotal’ because the data were not collected for this specific study but were retrospectively collated. However, our findings showed that for a trans individual, the online gaming environment was perceived as “safe” but further research is needed to establish what the distinctive elements of online gaming are that help to raise gender awareness (or not as the case may be). With the rates of gender dysphoria attending clinical services increasing significantly, future research should investigate (i) the rates and severity of gaming among this population as well as its function, and (ii) the rates of gender dysphoria among game addiction as coming out may help their addiction. The game industry may also want to consider how they can use games as a way of helping trans people being more accepted within society by developing game industry may want to co-observe how their games can prepare and assist individuals to socially transition. Online games also provide a safe environment that provides people access to a platform where individuals can discuss and experiment with gender identity.

Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Arcelus, J., Bouman, W. P., Witcomb, G. L., Van den Noortgate, W., Claes, L., & Fernandez-Aranda, F. (2015). Systematic review and meta-analysis of prevalence studies in transsexualism. European Psychiatry, 30, 807-815.

Arcelus, J., Jones, B., Richards, C., Jimenez-Murcia, S., Bouman, W.P. & Griffiths, M.D. (2017). Video gaming and gaming addiction in transgender people: An exploratory study. Journal of Behavioral Addictions, 6, 21–29.

Dale, L. K. (2014, January 23). How World of Warcraft helped me come out as transgender. The Guardian. Retrieved from http://www.theguardian.com/technology/gamesblog/2014/jan/23/how-world-of-warcraft-game-helped-me-come-out-transgender

Griffiths, M.D., Arcelus, J. & Bouman, W.P. (2016). Video gaming and gender dysphoria: Some case study evidence. Aloma: Revista de Psicologia, Ciències de l’Educació i de l’Esport, 34(2), 59-66.

Griffiths, M. D., Davies, M.N.O. & Chappell, D. (2003). Breaking the stereotype: The case of online gaming. CyberPsychology and Behavior, 6, 81-91.

Griffiths, M.D., Davies, M.N.O. & Chappell, D. (2004). Demographic factors and playing variables in online computer gaming. CyberPsychology and Behavior, 7, 479-487.

Griffiths, M. D., Kiraly, O., M. Pontes, H. M. & and Demetrovics, Z. (2015). An overview of problematic gaming. In Starcevic, V. & Aboujaoude, E. (Eds.), Mental Health in the Digital Age: Grave Dangers, Great Promise (pp.27-55). Oxford: Oxford University Press.

Fahs, B., & Gohr, M. (2012). Superpatriarchy meets cyberfeminism: Facebook, online gaming, and the new social genocide. MP: An Online Feminist Journal, 3(6), 1-40.

Hegland, J. E., & Nelson, N. J. (2002). Cross-dressers in cyber-space: Exploring the Internet as a tool for expressing gendered identity. International Journal of Sexuality and Gender Studies, 7(2-3), 139-161.

Huh, S., & Williams, D. (2010). Dude looks like a lady: Gender swapping in an online game. In Online worlds: Convergence of the real and the virtual (pp. 161-174). London: Springer.

Hussain, Z., & Griffiths, M. D. (2008). Gender swapping and socialising in cyberspace: An exploratory study. CyberPsychology and Behavior, 11, 47-53.

Lewis, A., & Griffiths, M. D. (2011). Confronting gender representation: A qualitative study of the experiences and motivations of female casual-gamers. Aloma: Revista de Psicologia, Ciencies de l’Educacio i de l’Esport, 28, 245-272.

McLean, L., & Griffiths, M. D. (2013). Female gamers: A thematic analysis of their gaming experience. International Journal of Games-Based Learning, 3(3), 54-71.

Osborne, H. (2012). Performing self, performing character: Exploring gender performativity in online role-playing games. Transformative Works and Cultures, 11. doi:10.3983/twc.2012.0411.

Potts, A. (2015). ‘LOVE YOU GUYS (NO HOMO)’ How gamers and fans play with sexuality, gender, and Minecraft on YouTube. Critical Discourse Studies, 12(2), 163-186.

Shaw, A. (2012). Do you identify as a gamer? Gender, race, sexuality, and gamer identity. New Media and Society, 14(1), 28-44

Taylor, T. L. (2003). Multiple pleasures women and online gaming. Convergence: The International Journal of Research into New Media Technologies, 9(1), 21-46.

Todd, C. (2012). ‘Troubling’ gender in virtual gaming spaces. New Zealand Geographer, 68(2), 101-110.

Out of sports: The influence of structural and situational characteristics in online sports betting

In a paper that I recently co-wrote in the Journal of Sport and Social Issues with Hibai Lopez-Gonzalez and Ana Estevez, we argued that the growing conversion of sports betting into an online activity has prompted two types of transformations in the way companies market their betting products. Firstly, the Internet has not only extended the opportunities to bet but has also changed the characteristics of the betting practice itself. Such product characteristics can be divided into two categories, namely situational and structural characteristics, that appear to be associated with factors influencing the onset and maintaining of betting as well as the difficulty of discontinuing it (the focus of this blog). Secondly, the online dimension has also enabled the proliferation of cross-marketing strategies leading to a convergence between previously independent markets or the tightening of the relationship between those with already established synergies (which I will examine in a future blog).

The internet has substantially transformed the situational and structural characteristics of sports betting. Situational factors comprise all environmental features that might make gamblers feel comfortable (both psychologically and physically) while gambling including sensory factors like colour, music, and smell in the environment, novelty of the activity, accessibility or proximity to a gambling venue, social facilitation and intrinsic association, which is defined as ‘the degree to which gambling is associated with other interests and attractions’.

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New situational factors in online sports betting include: (i) easier and faster accessibility to betting opportunities; (ii) ubiquity of bettable competitions around the globe and seamless availability of those competitions around the clock; (iii) anonymity (in terms of social stigma traditionally attached to gambling) and comfortable betting from home or elsewhere via mobile devices; (iv) greater social facilitation via online communities of bettors or betting leagues organized between groups of friends; and (v) an enhanced intrinsic association of sports betting with sporting values such as health, competition, team identification and loyalty, further facilitated by the proliferation of live sport content on television and social media.

Structural factors refer to the specific characteristics or design of the gambling activity such as win probability, sound and lighting effects of the game, bet frequency (how many bets a person can place in a given period of time), loss chasing facilitation (gambling to recover lost money), jackpot size, price structure, near-miss opportunities (the psychological bias of interpreting losses as nearly wins or anticipatory of a winning streak).

New structural factors in online betting include: (i) a greater frequency of bets, with shorter intervals between bets, and shorter event durations (e.g., virtual sports), meaning faster reward mechanisms; (ii) in-play betting, which encompasses a closer connection between watching sport and betting; (iii) contextual betting, with live markets that open after specific actions (e.g. betting on the outcome of a penalty kick seconds after being awarded by the referee); (iv) greater illusion of control over the bets with new functionalities that emphasize the skills involved and diminish the role of luck, such as cash out (the person can withdraw the bet before the end of the event at the price stipulated by the betting site), accumulators (a person can aggregate multiple events in a single bet, increasing the potential return), exchange (betting against other people instead of the bookmaker); and (v) a greater integration in the betting process of the knowledge about the sport (e.g., daily fantasy sports), resulting in the gamification of the betting experience.

In a 2013 scoping study that I published with Dr. Abby McCormack in the International Journal of Cyber Behavior, Psychology and Learning, we noted that new situational and structural factors associated with Internet gambling could influence the onset of problem gambling in non-sporting gambling contexts. The relative novelty of these situational and structural characteristics affecting the wagering on sports is reflected in the scarcity of research devoted to understanding them. However, there are a few studies.

An analysis of 47,603 Bwin betting website subscribers (by Dr. Debi LaPLante and colleagues in the journal Computers in Human Behaviors) showed some interesting results in the direction of the importance of structural factors determining excessive gambling. The most involved bettors (those comprising the most active 1% of the user sample) who gambled on final outcomes did not escalate their gambling behaviour over time whereas those who gambled in-play did so. In a 2014 follow-up study in the journal Psychology of Addictive Behaviors, LaPlante and her colleagues examined the effect of in-play betting in the development of problem gambling. The researchers expanded the sample to other forms of gambling and compared the role of breadth (i.e., many different gambling forms) and depth involvement (i.e., more frequent betting) in problem gambling onset. They hypothesised that more involved users would be more likely to become problem gamblers (which was shown to be the case). For every form and gambling, when controlling for depth and breadth involvement, the model was not able to predict gambling-related problems, with one exception: in-play betting. The study suggested that a structural characteristic of a game, the live betting action, could be a precipitant, in conjunction with other determinants, of gambling disorders.

Another study by Dr. Richard LaBrie and Dr. Howard Shaffer (in a 2011 issue of Addiction Research and Theory) found that self-limiting features – in which the bettor determines a maximum amount of money to be bet – made problem gamblers bet less frequently but, in turn, increased the stakes of the bets placed. Bettors who scored high on problem gambling scales chased their losses by implementing a risk aversion strategy, placing high bets conservatively on short odds events (i.e., events with unbalanced contenders in which the outcome can more likely be determined beforehand but with a lower monetary return).

While there has been an increasing amount of research that has examined the influence of situational and structural characteristics in gambling (particularly in relation to slot machine gambling), the impact of such characteristics on online sports betting (at present) remains largely unknown.

(Please not that this article was co-written with Dr. Hibai Lopez-Gonzalez and Dr. Ana Estevez).

Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Griffiths, M.D. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies, 9, 101-120.

Griffiths, M.D. (1999). Gambling technologies: Prospects for problem gambling. Journal of Gambling Studies, 15(3), 265–283.

Griffiths, M.D. (2005). A biopsychosocial approach to addiction. Psyke & Logos, 26(1), 9–26.

Griffiths, M.D. & Auer, M. (2013) The irrelevancy of game-type in the acquisition, development and maintenance of problem gambling. Frontiers in Psychology, 3, (621). doi: 10.3389/fpsyg.2012.00621.

LaBrie, R. & Shaffer, H.J. (2011). Identifying behavioral markers of disordered Internet sports gambling. Addiction Research & Theory, 19(1), 56–65.

LaPlante, D., Nelson, S.E. & Gray, H.M. (2014). Breadth and depth involvement: Understanding Internet gambling involvement and its relationship to gambling problems. Psychology of Addictive Behaviors, 28(2), 396-403.

LaPlante, D.A., Schumann, A., LaBrie, R.A., et al. (2008). Population trends in Internet sports gambling. Computers in Human Behavior, 24(5), 2399–2414.

Leino, T., Torsheim, T., Blaszczynski, A., Griffiths, M.D., Mentzoni, R., Pallesen, S. & Molde, H. (2015). The relationship between structural characteristics and gambling behavior: A population based study. Journal of Gambling Studies, 31, 1297-1315.

Lopez-Gonzalez, H., Estevez, A. & Griffiths, M.D. (2017). Marketing and advertising online sports betting: A problem gambling perspective. Journal of Sport and Social Issues, in press.

Lopez-Gonzalez, H. & Griffiths, M.D. (2016). Is European online gambling regulation adequately addressing in-play betting advertising? Gaming Law Review and Economics, 20, 495-503.

Lopez-Gonzalez, H. & Griffiths, M.D. (2017). Understanding the convergence of online sports betting markets. International Review for the Sociology of Sport, in press.

Lopez-Gonzalez, H. & Griffiths, M.D. (2017). ‘Cashing out’ in sports betting: Implications for problem gambling and regulation. Gaming Law Review and Economics, in press.

McCormack, A. & Griffiths, M.D. (2013). A scoping study of the structural and situational characteristics of internet gambling., 3(1), 29–49.

Parke, J. & Griffiths, M.D. (2006). The psychology of the fruit machine: The role of structural characteristics (revisited). International Journal of Mental Health and Addiction, 4, 151-179.

Parke, J. & Griffiths, M.D. (2007). The role of structural characteristics in gambling.  In G. Smith, D. Hodgins & R. Williams (Eds.), Research and Measurement Issues in Gambling Studies (pp.211-243). New York: Elsevier.

Screenagers in love: Adolescent screen time, content, and context

In 1999, the American Academy of Pediatrics (AAP) advocated the ‘2×2’ screen time guidelines to parents that their children should be restricted to no more than 2 hours of screen time a day and that children under 2 years of age should not be exposed to any screen time at all. Not only is this unworkable in today’s multi-media world but the guidelines are not based on scientific evidence. Thankfully, the AAP have revised their guidelines in the light of how today’s children actually engage with screen-based interactive technologies. For me, the issue is not about the amount of screen time but is about the content and the context of screen use. I have three ‘screenagers’ (i.e., children often referred to as ‘digital natives’ who have never known a world without the internet, mobile phones and interactive television) who all – like me – spend a disproportionate amount of their everyday lives on front of a screen for both work/educational and leisure purposes. Engaging in a lot of screen-based activities is not inherently negative – it’s simply a case of doing things differently than we did 20 years ago.

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One online activity that has received a lot of criticism in the media is the playing of online videogames. However there is now a wealth of research which shows that video games can be put to educational and therapeutic uses, as well as many studies which reveal how playing video games can improve reaction times and hand-eye co-ordination. Their interactivity can stimulate learning, allowing individuals to experience novelty, curiosity and challenge that stimulates learning. Although I have published many studies concerning online gaming addiction, there is little empirical evidence that moderate gaming has any negative effects whatsoever. In fact, many excessive players experience detrimental effects.

Over the past 15 years I have spent time researching the excessive playing of online videogames like Everquest and World of Warcraft (WoW). Online gaming involves multiple reinforcements in that different features might be differently rewarding to different people. In video games more generally, the rewards might be intrinsic (e.g. improving your highest score, beating your friend’s high score, getting your name on the “hall of fame”, mastering the game) or extrinsic (e.g. peer admiration).

In online gaming, there is no end to the game and there is the potential for gamers to play endlessly. This can be immensely rewarding and psychologically engrossing. For a small minority of people, this may lead to addiction where online gaming compromises everything else in their lives. However, playing excessively doesn’t necessarily make someone an addict. A few years ago in the International Journal of Mental Health and Addiction, I published two case study accounts of two males who claimed that they were gaming for up to 80 hours a week. They were behaviourally identical in terms of their game playing, but very different in terms of their psychological motivation to play.

The first case was an unemployed single 21-year old male. His favourite online game was World of Warcraft and that since leaving university he had spent an average of 10 to 14 hours a day playing WoW. He claimed that WoW had a positive influence in his life and that most of his social life was online and that it increased his self-esteem. He also argued that he had no other commitments and that he had the time and the flexibility to play WoW for long stretches. Gaming provided a daily routine when there was little else going on. There were no negative detrimental effects in his life. When he got a job and a girlfriend, his playing all but stopped.

The second case was 38-year old male, a financial accountant, married and had two children. He told me that over the previous 18 months, his online playing of Everquest had gone from about 3-4 hours of playing every evening to playing up to 14 hours a day. He claimed that his relationship was breaking down, that he was spending little time with his children, and that he constantly rang in sick to work so that he could spend the day playing online games. He had tried to quit playing on a number of occasions but could not go more than a few days before he experienced “an irresistible urge” to play again – even when his wife threatened to leave him.

Giving up online gaming was worse than giving up smoking and that he was “extremely moody, anxious, depressed and irritable” if he was unable to play online. Things got even worse. He was fired from his job for being unreliable and unproductive (although his employers were totally unaware of his gaming behaviour). As a result of losing his job, his wife also left him. This led to him “playing all day, every day”. It was a vicious circle in that his excessive online gaming was causing all his problems yet the only way he felt he could alleviate his mood state and forget about all of life’s stresses was to play online games even more.

I argued that only the second man appeared to be genuinely addicted to online gaming but that the first man wasn’t. I based this on the context and consequences of his excessive play. Online gaming addiction should be characterized by the extent to which excessive gaming impacts negatively on other areas of the gamers’ lives rather than the amount of time spent playing. For me, an activity cannot be described as an addiction if there are few (or no) negative consequences in the player’s life even if the gamer is playing up to 14 hours a day. The difference between a healthy enthusiasm and an addiction is that healthy enthusiasms add to life, addictions take away from it.

Every week I receive emails from parents claiming that their sons are addicted to playing online games and that their daughters are addicted to social media. When I ask them why they think this is the case, they almost all reply “because they spend most of their leisure time in front of a screen”. This is simply a case of parents pathologising their children’s behaviour because they think what they are doing is “a waste of time”. I always ask parents the same three things in relation to their child’s screen use. Does it affect their schoolwork? Does it affect their physical education? Does it affect their peer development and interaction? Usually parents say that none of these things are affected so if that is the case, there is little to worry about when it comes to screen time. Parents also have to bear in mind that this is how today’s children live their lives. Parents need to realise that excessive screen time doesn’t always have negative consequences and that the content and context of their child’s screen use is more important than the amount of screen time.

(Please note: This article is an extended version of an article that was originally published by the London School of Economics’ Media Policy Project)

Dr Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Griffiths, M.D. (2010). Online video gaming: What should educational psychologists know? Educational Psychology in Practice, 26(1), 35-40.

Griffiths, M.D. (2010). The role of context in online gaming excess and addiction: Some case study evidence. International Journal of Mental Health and Addiction, 8, 119-125.

Griffiths, M.D. (2013). Adolescent gambling via social networking sites: A brief overview. Education and Health, 31, 84-87.

Griffiths, M.D. (2013) Social networking addiction: Emerging themes and issues. Journal of Addiction Research and Therapy, 4: e118. doi: 10.4172/2155-6105.1000e118.

Griffiths, M.D. (2014). Child and adolescent social gaming: What are the issues of concern? Education and Health, 32, 9-12.

Griffiths, M.D. (2014). Gaming addiction in adolescence (revisited). Education and Health, 32, 125-129.

Griffiths, M.D., Kuss, D.J. & King, D.L. (2012). Video game addiction: Past, present and future. Current Psychiatry Reviews, 8, 308-318.

Griffiths, M.D., Kuss, D.J. & Demetrovics, Z. (2014). Social networking addiction: An overview of preliminary findings. In K. Rosenberg & L. Feder (Eds.), Behavioral Addictions: Criteria, Evidence and Treatment (pp.119-141). New York: Elsevier.

Kuss, D.J. & Griffiths, M.D. (2011). Online social networking and addiction: A literature review of empirical research. International Journal of Environmental and Public Health, 8, 3528-3552.

Kuss, D.J. & Griffiths, M.D. (2012). Online gaming addiction in adolescence: A literature review of empirical research. Journal of Behavioral Addictions, 1, 3-22.

Kuss, D.J. & Griffiths, M.D. (2012). Internet gaming addiction: A systematic review. International Journal of Mental Health and Addiction, 10, 278-296.

Lopez-Fernandez, O., Honrubia-Serrano, M.L., Baguley, T. & Griffiths, M.D. (2014). Pathological video game playing in Spanish and British adolescents: Towards the Internet Gaming Disorder symptomatology. Computers in Human Behavior, 41, 304–312.

Pápay, O., Urbán, R., Griffiths, M.D., Nagygyörgy, K., Farkas, J. Kökönyei, G., Felvinczi, K., Oláh, A., Elekes, Z., Demetrovics, Z. (2013). Psychometric properties of the Problematic Online Gaming Questionnaire Short-Form (POGQ-SF) and prevalence of problematic online gaming in a national sample of adolescents. Cyberpsychology, Behavior, and Social Networking, 16, 340-348.

Tubular hells: A brief look at ‘addiction’ to watching YouTube videos

 

A few days ago, I unexpectedly found my research on internet addiction being cited in a news article by Paula Gaita on compulsive viewing of YouTube videos (‘Does compulsive YouTube viewing qualify as addiction?‘). The article was actually reporting a case study from a different news article published by PBS NewsHour by science correspondent Lesley McClurg (‘After compulsively watching YouTube, teenage girl lands in rehab for digital addiction’). As Gaita reported:

“The story profiles a middle school student whose obsessive viewing of YouTube content led to extreme behavior changes and eventually, depression and a suicide attempt. The student finds support through therapy at an addiction recovery center…The student in question is a young girl named Olivia who felt at odds with the ‘popular’ kids at her Oakland area school. She began watching YouTube videos after hearing that it was a socially acceptable thing to do… Her viewing habits soon took the place of sleep, which impacted her energy and mood. Her grades began to falter, and external problems within her house – arguments between her parents and the death of her grandmother – led to depression and an admission of wanting to hang herself. Her parents took her to a psychiatric hospital, where she stayed for a week under suicide watch, but her self-harming compulsion continued after her release. She began viewing videos about how to commit suicide, which led to an attempt to overdose on Tylenol[Note: The name of the woman – Olivia – was a pseudonym].

McClurg interviewed Olivia’s mother for the PBS article and it was reported that Olivia went from being a “bubbly daughter…hanging out with a few close friends after school” to “isolating in her room for hours at a time”. Olivia’s mother also claimed that her daughter had always been kind of a nerd, a straight. A student who sang in a competitive choir. But she desperately wanted to be popular, and the cool kids talked a lot about their latest YouTube favorites”. According to news reports, all Olivia would do was to watch video after video for hours and hours on end and developed sleeping problems. Over time, the videos being watched focused on fighting girls and other videos featuring violence.

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The news story claimed that Olivia was “diagnosed with depression that led to compulsive internet use”. When Olivia went back home she was still feeling suicidal and then spent hours watching YouTube videos on how to commit suicide (and it’s where she got the idea for overdosing on Tylenol tablets).

After a couple of spells in hospital, Olivia’s parents took her to a Californian centre specialising in addiction recovery (called ‘Paradigm’ in San Rafael). The psychologist running the Paradigm clinic (Jeff Nalin) claimed Olivia’s problem was “not uncommon” among clients attending the clinic. Nalin believes (as I do and have pointed out in my own writings) that treating online addictions is not about abstinence but about getting the behaviour under control but developing skills to deal with the problematic behaviour. He was quoted as saying:

“I describe a lot of the kids that we see as having just stuck a cork in the volcano. Underneath there’s this rumbling going on, but it just rumbles and rumbles until it blows. And it blows with the emergence of a depression or it emerges with a suicide attempt…The best analogy is when you have something like an eating disorder. You cannot be clean and sober from food. So, you have to learn the skills to deal with it”.

The story by Gaita asked the question of whether compulsive use of watching YouTube could be called a genuine addiction (and that’s where my views based on my own research were used). I noted that addiction to the internet may be a symptom of another addiction, rather than an addiction unto itself. For instance, people addicted to online gambling are gambling addicts, not internet addicts. An individual addicted to online gaming or online shopping are addicted to gaming or shopping not to the internet.

An individual may be addicted to the activities one can do online and is not unlike saying that an alcoholic is not addicted to a bottle, but to what’s in it. I have gone on record many times saying that I believe anything can be addictive as long there are continuous rewards in place (i.e., constant reinforcement). Therefore, it’s not impossible for someone to become addicted to watching YouTube videos but the number of genuine cases of addiction are likely to be few and far between. Watching video after video is conceptually no different from binge watching specific television series or television addiction itself (topics that I have examined in previous blogs).

I ought to end by saying that some of my own research studies on internet addiction (particularly those co-written with Dr. Attila Szabo and Dr. Halley Pontes and published in the Journal of Behavioral Addictions and Addictive Behaviors Reports – see ‘Further reading’ below) have examined the preferred applications by those addicted to the internet, and that the watching of videos online is one of the activities that has a high association with internet addiction (along with such activities such as social networking and online gaming). Although we never asked participants to specify which channel they watched the videos, it’s fair to assume that many of our participants will have watched them on YouTube), and (as the Camelot lottery advert once said) maybe, just maybe, a few of those participants may have had an addiction to watching YouTube videos.

Dr Mark Griffiths, Professor of Gambling Studies, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Gaita, P. (2017). Does compulsive YouTube viewing qualify as addiction? The Fix, May 19. Located at: https://www.thefix.com/does-compulsive-youtube-viewing-qualify-addiction

Griffiths, M.D. (2000). Internet addiction – Time to be taken seriously? Addiction Research, 8, 413-418.

Griffiths, M.D., Kuss, D.J., Billieux J. & Pontes, H.M. (2016). The evolution of internet addiction: A global perspective. Addictive Behaviors, 53, 193–195.

Griffiths, M.D. & Pontes, H.M. (2014). Internet addiction disorder and internet gaming disorder are not the same. Journal of Addiction Research and Therapy, 5: e124. doi:10.4172/2155-6105.1000e124.

Griffiths M.D. & Szabo, A. (2014). Is excessive online usage a function of medium or activity? An empirical pilot study. Journal of Behavioral Addictions, 3, 74-77.

Kuss, D.J. & Griffiths, M.D. (2015). Internet Addiction in Psychotherapy. Basingstoke: Palgrave Macmillan.

Kuss, D.J., Griffiths, M.D. & Binder, J. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29, 959-966.

Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026-4052.

Kuss, D.J., van Rooij, A.J., Shorter, G.W., Griffiths, M.D. & van de Mheen, D. (2013). Internet addiction in adolescents: Prevalence and risk factors. Computers in Human Behavior, 29, 1987-1996.

McClurg, L. (2017). After compulsively watching YouTube, teenage girl lands in rehab for ‘digital addiction’. PBS Newshour, May 16. Located at: http://www.pbs.org/newshour/rundown/compulsively-watching-youtube-teenage-girl-lands-rehab-digital-addiction/

Pontes, H.M., Kuss, D.J. & Griffiths, M.D. (2015). The clinical psychology of Internet addiction: A review of its conceptualization, prevalence, neuronal processes, and implications for treatment. Neuroscience and Neuroeconomics, 4, 11-23.

Pontes, H.M., Szabo, A. & Griffiths, M.D. (2015). The impact of Internet-based specific activities on the perceptions of Internet Addiction, Quality of Life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19-25.

Widyanto, L. & Griffiths, M.D. (2006). Internet addiction: A critical review. International Journal of Mental Health and Addiction, 4, 31-51.

Games without frontiers: A brief look at the psychology of play

In a previous blog I examined my favourite board game (Scrabble) and the extent to which someone could become addicted to it. Today’s blog takes a broader look at the psychology of play more generally. Arguably, many of the topics that I research involve the psychology of playing games with video games and gambling games being my two most obvious areas of interest.

It’s been argued by myself (and others) that the ritualized play of several childhood games provides ‘training’ in the acquisition of gambling behaviour and that some games are pre-cursors to actual gambling (e.g., playing marbles, card flipping, etc.). Some authors (such as Igor Kusyszyn) hold the view that gambling is in itself ‘adult play’. Unsurprisingly, Freud was one of the first people to concentrate on the ‘functions’ of play and concluded that play in all its varieties (a) provides a wish-fulfilment, (b) leads to conflict reduction, (c) provides temporary leave of absence from reality, and (d) brings about a change from the passive to the active.

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Since Freud, most psychologists have concentrated on the idea of ‘conflict reduction’ and in doing so have ignored his other three postulations. A more modern approach in the 1970s by Mihalyi Czikszentmihalyi asserted that during play a person can “concentrate on a limited stimulus field, in which he or she can use skills to meet clear demands, thereby forgetting his or her own problems and separate identity” (and provides one of the reasons that a small minority of people can develop problems playing games). Seminal research on the sociology of play by Roger Caillois states notes that play is a “free and voluntary activity”, “a source of joy and amusement” and “bounded by precise limits of time and space” whereas Erving Goffman views it as a “world building activity”.

Games provide the opportunity to prove one’s superiority, the desire to challenge and overcome an obstacle, and a medium by which to test one’s skill, endurance and ingenuity. Games, unlike some activities (including life itself!), tell us whether we have won or lost. As observed by James Smith and Vicki Abt in the 1980s:

“…in the context of a competitive and materialistic culture that has become increasingly regimented and standardized with little room for individual creativity and personal achievement, games (including gambling) offer the illusion of control over destiny and circumstance”.

Perhaps the best categorisation of game types was formulated by Roger Caillois who listed four classifications – agon (competition), alea (chance), mimicry (simulation), and ilinx (vertigo). In the context of games involving gambling, alea and agon are crucial in that they offer a combination of skill, chance and luck. As was previously asserted, most people desire opportunities to test their strength and skill against an adversary, and those games which offer a component of skill or talent combined with luck and chance provide the most favourable conditions. This is particularly prevalent in males who are deemed ‘masculine’ if during the socialization process they show (socially) important traits such as courage, independence, and bravery.

According to Caillois, play is “an occasion of pure waste: waste of time, energy, ingenuity, skill, and often of money” and is a “free and voluntary activity that occurs in a pure space, isolated and protected from the rest of life”. According to Caillois, play is best described by six core characteristics:

  • It is free, or not obligatory.
  • It is separate (from the routine of life) occupying its own time and space.
  • It is uncertain, so that the results of play cannot be pre-determined and so that the player’s initiative is involved.
  • It is unproductive in that it creates no wealth and ends as it begins.
  • It is governed by rules that suspend ordinary laws and behaviours and that must be followed by players.
  • It involves make-believe that confirms for players the existence of imagined realities that may be set against ‘real life’.

Back in 2000, I published an article on the psychology of games in Psychology Review and what makes a good game. I noted that:

  • All good games are relatively easy to play but can take a lifetime to become truly adept. In short, there will always room for improvement.
  • For games of any complexity there must be a bibliography that people can reference and consult. Without books and magazines to instruct and provide information there will be no development and the activity will die.
  • There needs to be competitions and tournaments. Without somewhere to play (and likeminded people to play with) there will be little development within the field over long periods of time.
  • Finally – and very much a sign of the times – no leisure activity can succeed today without corporate sponsorship of some kind.

I was recently interviewed by Lucy Orr for an article on board games for The Register – particularly about the psychology of winning. For instance, why is winning so important? I responded to Orr by pointing out that winning makes us feel good both psychologically and physiologically. Winning something – especially if it is a result of something skilful rather than by chance – can feel even better (unless the chance winning is something life changing like winning the lottery). Winning something using your own skill can demand respect from other competitors and brings about esteem (that can feed into one’s own self-esteem). Winning can be a validation that what you are doing is worthwhile. Other parts of my interview were not used.

I was asked whether beating other people makes winning more rewarding? Of course it does. Any time we engage in a behaviour that feels good we want to do it again (and again). Winning can be reinforcing on many different levels. There may be financial rewards, social rewards (peer praise, admiration and respect from others), psychological rewards (feeling better about oneself and feeling that the activity is a life-affirming and life-enhancing activity that feeds into self-esteem), and physiological rewards (increases in adrenaline and serotonin that trigger dopamine and makes us feel happy).

For some people, winning can become addictive. You can’t become addicted to something unless you are constantly reinforced and rewarded for engaging in the behaviour, and (as mentioned above) there are many different types of rewards (e.g., financial, social, psychological and physiological). Any (or all of these) could lead to repetitive and habitual behaviour and in a small minority of cases be addictive. However, as I have noted in a number of my papers, doing something to excess is not addiction. The difference between a healthy excessive enthusiasm and an addiction is that excessive enthusiasms add to life and addictions take away from it. For most people, winning behaviour – particularly in the context of playing board games – will be highly rewarding without being in any way problematic

Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Further reading

Brown, J. (2011). Scrabble addict. Sabotage Times, May 16. Located at: http://sabotagetimes.com/life/scrabble-addict/

Caillois, R. (1961). Man, play and games. Paris: Simon and Schuster.

Csikszentmihalyi, M. (1976). Play and intrinsic rewards. Journal of Humanistic Psychology, 16, 41-63.

Goffman, E. (1967). Interaction Ritual: Essays on face-to-face behavior. Garden City, New York: Doubleday Anchor.

Griffiths, M.D. (2000). The psychology of games. Psychology Review, 7(2), 24-26.

Griffiths, M.D.  (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10, 191-197.

Griffiths, M.D. (2010). The role of context in online gaming excess and addiction: Some case study evidence. International Journal of Mental Health and Addiction, 8, 119-125.

Kusyszyn, I. (1984). The psychology of gambling. Annals of American Academy of Political and Social Sciences, 474, 133-145.

Orr, L. (2016). Winner! Crush your loved ones at Connect Four this Christmas. The Register, December 16. Located at: http://www.theregister.co.uk/2016/12/15/beating_your_family_and_winning_this_christmas/

Smith, J. F. & Abt, V. (1984). Gambling as play Annals of the American Academy of Political and Social Sciences, 474, 122-132.

Walsh, J. (2004). Scrabble addicts. The Independent, October 9. Located at: http://www.independent.co.uk/news/uk/this-britain/scrabble-addicts-535160.html

A diction for addiction: A brief overview of our papers at the 2017 International Conference on Behavioral Addictions

This week I attended (and gave one of the keynote papers at) the fourth International Conference on Behavioral Addictions in Haifa (Israel). It was a great conference and I was accompanied by five of my colleagues from Nottingham Trent University all of who were also giving papers. All of the conference abstracts have just been published in the latest issue of the Journal of Behavioral Addictions (reprinted below in today’s blog) and if you would like copies of the presentations then do get in touch with me.

mark-haifa-keynote-2017

Griffiths, M.D. (2017). Behavioural tracking in gambling: Implications for responsible gambling, player protection, and harm minimization. Journal of Behavioral Addictions, 6 (Supplement 1), 2.

  • Social responsibility, responsible gambling, player protection, and harm minimization in gambling have become major issues for both researchers in the gambling studies field and the gaming industry. This has been coupled with the rise of behavioural tracking technologies that allow companies to track every behavioural decision and action made by gamblers on online gambling sites, slot machines, and/or any type of gambling that utilizes player cards. This paper has a number of distinct but related aims including: (i) a brief overview of behavioural tracking technologies accompanied by a critique of both advantages and disadvantages of such technologies for both the gaming industry and researchers; (ii) results from a series of studies carried out using behavioural tracking (particularly in relation to data concerning the use of social responsibility initiatives such as limit setting, pop-up messaging, and behavioural feedback); and (c) a brief overview of the behavioural tracking tool mentor that provides detailed help and feedback to players based on their actual gambling behaviour.

Calado, F., Alexandre, J. & Griffiths, M.D. (2017). Youth problem gambling: A cross-cultural study between Portuguese and English youth. Journal of Behavioral Addictions, 6 (Supplement 1), 7.

  • Background and aims: In spite of age prohibitions, most re- search suggests that a large proportion of adolescents engage in gambling, with a rate of problem gambling significantly higher than adults. There is some evidence suggesting that there are some cultural variables that might explain the development of gambling behaviours among this age group. However, cross­cultural studies on this field are generally lacking. This study aimed to test a model in which individual and family variables are integrated into a single perspective as predictors of youth gambling behaviour, in two different contexts (i.e., Portugal and England). Methods: A total of 1,137 adolescents and young adults (552 Portuguese and 585 English) were surveyed on the measures of problem gambling, gambling frequency, sensation seeking, parental attachment, and cognitive distortions. Results: The results of this study revealed that in both Portuguese and English youth, the most played gambling activities were scratch cards, sports betting, and lotteries. With regard to problem gambling prevalence, English youth showed a higher prevalence of problem gambling. The findings of this study also revealed that sensation seeking was a common predictor in both samples. However, there were some differences on the other predictors be- tween the two samples. Conclusions: The findings of this study suggest that youth problem gambling and its risk factors appear to be influenced by the cultural context and highlights the need to conduct more cross-cultural studies on this field.

Demetrovics, Z., Richman, M., Hende, B., Blum, K., Griffiths,
M.D, Magi, A., Király, O., Barta, C. & Urbán, R. (2017). Reward Deficiency Syndrome Questionnaire (RDSQ):
A new tool to assess the psychological features of reward deficiency. Journal of Behavioral Addictions, 6 (Supplement 1), 11.

  • ‘Reward Deficiency Syndrome’ (RDS) is a theory assuming that specific individuals do not reach a satisfactory state of reward due to the functioning of their hypodopaminergic reward system. For this reason, these people search for further rewarding stimuli in order to stimulate their central reward system (i.e., extreme sports, hypersexuality, substance use and/or other addictive behaviors such as gambling, gaming, etc.). Beside the growing genetic and neurobiological evidence regarding the existence of RDS little re- search has been done over the past two decades on the psychological processes behind this phenomenon. The aim of the present paper is to provide a psychological description of RDS as well as to present the development of the Reward Deficiency Syndrome Questionnaire (developed using a sample of 1,726 participants), a new four-factor instrument assessing the different aspects of reward deficiency. The results indicate that four specific factors contribute to RDS comprise “lack of satisfaction”, “risk seeking behaviors”, “need for being in action”, and “search for overstimulation”. The paper also provides psychological evidence of the association between reward deficiency and addictive disorders. The findings demonstrate that the concept of RDS provides a meaningful and theoretical useful context to the understanding of behavioral addictions.

Demetrovics, Z., Bothe, B., Diaz, J.R., Rahimi­Movaghar, A., Lukavska, K., Hrabec, O., Miovsky, M., Billieux, J., Deleuze,
J., Nuyens, P. Karila, L., Nagygyörgy, K., Griffiths, M.D. & Király, O. (2017). Ten-Item Internet Gaming Disorder Test (IGDT-10): Psychometric properties across seven language-based samples. Journal of Behavioral Addictions, 6 (Supplement 1), 11.

  • Background and aims: The Ten-Item Internet Gaming Disorder Test (IGDT-10) is a brief instrument developed to assess Internet Gaming Disorder as proposed in the DSM­5. The first psychometric analyses carried out among a large sample of Hungarian online gamers demonstrated that the IGDT-10 is a valid and reliable instrument. The present study aimed to test the psychometric properties in a large cross-cultural sample. Methods: Data were collected among Hungarian (n = 5222), Iranian (n = 791), Norwegian (n = 195), Czech (n = 503), Peruvian (n = 804), French­speaking (n = 425) and English­ speaking (n = 769) online gamers through gaming­related websites and gaming-related social networking site groups. Results: Confirmatory factor analysis was applied to test the dimensionality of the IGDT-10. Results showed that the theoretically chosen one-factor structure yielded appropriate to the data in all language­based subsamples. In addition, results indicated measurement invariance across all language-based subgroups and across gen- der in the total sample. Reliability indicators (i.e., Cronbach’s alpha, Guttman’s Lambda-2, and composite reliability) were acceptable in all subgroups. The IGDT- 10 had a strong positive association with the Problematic Online Gaming Questionnaire and was positively and moderately related to psychopathological symptoms, impulsivity and weekly game time supporting the construct validity of the instrument. Conclusions: Due to its satisfactory psychometric characteristics, the IGDT-10 appears to be an adequate tool for the assessment of internet gam- ing disorder as proposed in the DSM-5.

Throuvala, M.A., Kuss, D.J., Rennoldson, M. & Griffiths, M.D. (2017). Delivering school-based prevention regarding digital use for adolescents: A systematic review in the UK. Journal of Behavioral Addictions, 6 (Supplement 1), 54.

  • Background: To date, the evidence base for school-delivered prevention programs for positive digital citizenship for adolescents is limited to internet safety programs. Despite the inclusion of Internet Gaming Disorder (IGD) as a pro- visional disorder in the DSM-5, with arguable worrying prevalence rates for problematic gaming across countries, and a growing societal concern over adolescents’ digital use, no scientifically designed digital citizenship programs have been delivered yet, addressing positive internet use among adolescents. Methods: A systematic database search of quantitative and qualitative research evidence followed by a search for governmental initiatives and policies, as well as, non­profit organizations’ websites and reports was conducted to evaluate if any systematic needs assessment and/or evidence-based, school delivered prevention or intervention programs have been conducted in the UK, targeting positive internet use in adolescent populations. Results: Limited evidence was found for school-based digital citizenship awareness programs and those that were identified mainly focused on the areas of internet safety and cyber bullying. To the authors’ knowledge, no systematic needs assessment has been conducted to assess the needs of relevant stakeholders (e.g., students, parents, schools), and no prevention program has taken place within UK school context to address mindful and positive digital consumption, with the exception of few nascent efforts by non­profit organizations that require systematic evaluation. Conclusions: There is a lack of systematic research in the design and delivery of school-delivered, evidence-based prevention and intervention programs in the UK that endorse more mindful, reflective attitudes that will aid adolescents in adopting healthier internet use habits across their lifetime. Research suggests that adolescence is the highest risk group for the development of internet addictions, with the highest internet usage rates of all age groups. Additionally, the inclusion of IGD in the DSM-5 as provisional disorder, the debatable alarming prevalence rates for problematic gaming and the growing societal focus on adolescents’ internet misuse, renders the review of relevant grey and published research timely, contributing to the development of digital citizenship programs that might effectively promote healthy internet use amongst adolescents.

Bányai, F., Zsila, A., Király, O., Maraz, A., Elekes, Z., Griffiths, M.D., Andreassen, C.S. & Demetrovics, Z. (2017). Problematic social networking sites use among adolescents: A national representative study. Journal of Behavioral Addictions, 6 (Supplement 1), 62.

  • Despite being one of the most popular activities among adolescents nowadays, robust measures of Social Media use and representative prevalence estimates are lacking in the field. N = 5961 adolescents (49.2% male; mean age 16.6 years) completed our survey. Results showed that the one-factor Bergen Social Media Addiction Scale (BSMAS) has appropriate psychometric properties. Based on latent pro le analysis, 4.5% of the adolescents belonged to the at-risk group, who reported low self-esteem, high level of depression and the elevated social media use (34+ hours a week). Conclusively, BSMAS is an adequate measure to identify those adolescents who are at risk of problematic Social Media use and should therefore be targeted by school-based prevention and intervention programs.

Bothe, B., Toth-Király, I. Zsila, A., Griffiths, M.D., Demetrovics, Z. & Orosz, G. (2017). The six-component problematic pornography consumption scale. Journal of Behavioral Addictions, 6 (Supplement 1), 62.

  • Background and aims: To our best knowledge, no scale ex- ists with strong psychometric properties assessing problematic pornography consumption which is based on an over- arching theoretical background. The goal of the present study was to develop a short scale (Problematic Pornography Consumption Scale; PPCS) on the basis of Griffiths` (2005) six-component addiction model that can assess problematic pornography consumption. Methods: The sample comprised 772 respondents (390 females; Mage = 22.56, SD = 4.98 years). Items creation was based on the definitions of the components of Griffiths’ model. Results: A confirmatory factor analysis was carried out leading to an 18­item second­order factor structure. The reliability of the PPCS was good and measurement invariance was established. Considering the sensitivity and specificity values, we identified an optimal cut­off to distinguish between problematic and non-problematic pornography users. In the present sample, 3.6% of the pornography consumers be- longed to the at-risk group. Discussion and Conclusion: The PPCS is a multidimensional scale of problematic pornography consumption with strong theoretical background that also has strong psychometric properties.

Dr Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

Don’t blame the game: Parents, videogame content, and age ratings

Back in March 2015, BBC News reported that parents of children in 16 Cheshire county schools had been sent a letter saying that head teachers would report them to the authorities if they allowed their children to play videogames that are rated for adults (i.e., games that have an ‘18’ rating). The teachers claimed that popular games like Grand Theft Auto and Call of Duty are too violent to be played by those under the age of 18 years. They also stated that such games increased sexualised behaviour and left children vulnerable to sexual grooming. The schools also threatened to report parents who let their children play such games because it was a form of parental neglect. The author of the letter, Mary Hennessy Jones, was quoted as saying that:

“We are trying to help parents to keep their children as safe as possible in this digital era. It is so easy for children to end up in the wrong place and parents find it helpful to have some very clear guidelines”.

I’m sure the letter to parents was written with the best of intentions but as a parent of three ‘screenagers’ and someone that has spent almost three decades researching the effects of video games on human behaviour, this appears to be a very heavy-handed way to deal with the issue. Although it is illegal for any retailer to sell ‘18’ rated games to minors, it is not illegal for children to play such games, or illegal for parents to allow their children to play such games. Many parents need to be educated about the positives and negatives of playing video games but reporting them to the “authorities” is not the right way forward.

pegi_ratings_system

Back in the early 1990s I was probably the only academic in the UK carrying out scientific research on children’s video game playing. In fact, I was proud of my role in getting age ratings onto all video games in the first place, and for writing the text for educational information leaflets for parents (outlining the effects of excessive playing of such games) sponsored by the National Council for Educational Technology. There are many positive benefits of playing video games (something that I wrote about in a previous article for The Conversation).

I know from first-hand experience that children often play games that are age-inappropriate. Two years ago, my (then) 13-year old son said he was the only boy in his class that did not play or own the Call of Duty video game. This is also borne out by research evidence. One study that I was involved in found that almost two-thirds of children aged 11- to 13-years of age (63%) had played an 18+ video game. Unsurprisingly, boys (76%) were more likely than girls (49%) to have played an 18+ video game. Children were also asked about how often they played 18+ video games. Of the two-thirds who had played them, 8% reported playing them “all the time”, 22% reported playing them “most of the time”, 50% reported playing them “sometimes”, 18% reported playing them “hardly ever”. Again, boys were more likely than girls to play 18+ video games more frequently. Children were asked how they got access to 18+ plus video games. The majority had the games bought for them by family or friends (58%), played them at a friend’s house (35%), swapped them with friends (27%), or bought games themselves (5%). This research certainly appears to suggest that parents and siblings are complicit in the playing of age-inappropriate games.

There is a growing amount of scientific literature that has examined the content of video games designed for adults. For instance, a study led by Dr. Kimberley Thompson and published in the Archives of Pediatric and Adolescent Medicine attempted to quantify the depiction of violence, blood, sexual themes, profanity, substances, and gambling in adult (18+) video games and to assess whether the actual game content matched the content descriptor on the packaging. Although content descriptors for violence and blood provided a good indication of content in the 36 games examined, the authors concluded that 81% of the games studied (n=29) lacked content descriptors of other adult content. Other studies carried out by the same research team have found that adult content can be found in lots of games aimed at young children and teenagers.

Another study led by Dr. David Walsh published in Minerva Pediatrica tested the validity of media rating systems (including video games). Results showed that when the entertainment industry rated a product as inappropriate for children, parents also agreed that it was inappropriate. However, parents disagreed with many industry ratings that were designated as containing material as suitable for children. The products rated as appropriate for adolescents by the industry were of the greatest concern to parents.

The issue of children and adolescents playing 18+ games is no different from the debates about children and adolescents watching 18+ films. However, based on anecdotal evidence appears that parents are more likely to adhere to age ratings on films than they are on video games. This is one area that both media researchers and media educators need to inform parents to be more socially responsible in how they monitor their children’s leisure activity. A school sending out a threatening letter to parents is unlikely to change parental behaviour. Education and informed debate is likely to have a much greater effect in protecting our children from the potential harms of video game playing.

Dr. Mark Griffiths, Professor of Behavioural Addiction, International Gaming Research Unit, Nottingham Trent University, Nottingham, UK

 Further reading

Anderson, C.A., Gentile, D.A., & Dill, K.E. (2012). Prosocial, antisocial and other effects of recreational video games. In D.G. Singer, & J.L. Singer (Eds), Handbook of Children and the Media, Second Edition, (pp. 249-272). Thousand Oaks, CA: Sage.

Anderson, C. A., Shibuya, A., Ihori, N., Swing, E. L., Bushman, B.J., Sakamoto, A., Rothstein, H.R., & Saleem, M. (2010). Violent video game effects on aggression, empathy, and prosocial behavior in eastern and western countries: a meta-analytic review. Psychological Bulletin, 136, 151-173.

Bartlett, C. P., Anderson, C.A. & Swing, E.L. (2009). Video game effects confirmed, suspected and speculative: A review of the evidence. Simulation and Gaming, 40, 377-403.

Ferguson, C. J. (2007). Evidence for publication bias in video game violence effects literature: A meta analytic review. Aggression and Violent Behavior, 12, 470-482.

Ferguson, C. J. (2013). Violent video games and the supreme court: Lessons for the scientific community in the wake of Brown v. Entertainment Merchants Association. American Psychologists, 68, 57-74.

Ferguson, C. J., San Miguel, S. & Hartley, T. (2009).  Multivariate analysis of youth violence and aggression: The influence of family, peers, depression and media violence. Journal of Paediatrics, 155, 904-908.

Gentile, D. A. & Stone, W. (2005). Violent video game effects in children and adolescents: A review of the literature. Minerva Pediatrics, 57, 337-358.

Griffiths, M.D. (1998). Video games and aggression: A review of the literature. Aggression and Violent Behavior, 4, 203-212.

Griffiths, M.D. (2000). Video game violence and aggression: Comments on ‘Video game playing and its relations with aggressive and prosocial behaviour’ by O. Weigman and E.G.M. van Schie. British Journal of Social Psychology, 39, 147-149.

Griffiths, M.D. (2010). Age ratings on video games: Are the effective? Education and Health, 28, 65-67.

Griffiths, M.D. & McLean, L. (in press). Content effects: Online and offline games. In P. Roessler (Ed.), International Encyclopedia of Media Effects. Chichester: Wiley.

Grüsser, S.M., Thalemann, R. & Griffiths, M.D. (2007). Excessive computer game playing: Evidence for addiction and aggression?  CyberPsychology and Behavior, 10, 290-292.

Ivory, J.D., Colwell, J., Elson, M., Ferguson, C.J., Griffiths, M.D., Markey, P.M., Savage, J. & Williams, K.D. (2015). Manufacturing consensus in a divided field and blurring the line between the aggression concept and violent crime. Psychology of Popular Media Culture, 4, 222–229.

McLean, L. & Griffiths, M.D. (2013). The psychological effects of videogames on young people. Aloma: Revista de Psicologia, Ciències de l’Educació i de l’Esport, 31(1), 119-133.

McLean, L. & Griffiths, M.D. (2013). Violent video games and attitudes towards victims of crime: An empirical study among youth. International Journal of Cyber Behavior, Psychology and Learning, 2(3), 1-16.

Mehroof, M. & Griffiths, M.D. (2010). Online gaming addiction: The role of sensation seeking, self-control, neuroticism, aggression, state anxiety and trait anxiety. Cyberpsychology, Behavior, and Social Networking, 13, 313-316.