Category Archives: Technology

Selling hope: A brief look at the advertising of online sports betting

(Please note that this article was co-written with Dr. Hibai Lopez-Gonzalez).

Marketing strategies are essential in a market environment such as online sports betting wherein product differentiation is minimal and price inelasticity robust. Business insiders widely accept that product innovation is instantly replicated across competitors, which are permanently seeking to generate, so far unfruitfully, a disruptive competitive edge. In a context where the number of licensed bookmakers is constantly growing, advertising plays a big part in luring customers who cannot tell the difference between companies. Advertising and marketing spend on sports betting has increased exponentially over the last five years in Europe and that is mirrored on the exposure to betting commercial messages of sports fans.

For instance, a 2014 report published by the Victorian Responsible Gambling Foundation estimated that viewers of the Australian Football League and the National Rugby League – the two most followed sport codes in Australia – are exposed to 10 to 15 minutes of gambling advertisements per game. Similarly, Dr. Sophie Lindsay and colleagues in a 2013 issue of BMC Public Health looked further into the environmental impact of gambling advertising in sport events. They calculated that in three rugby league matches the public had been exposed to ‘322 episodes’ of betting marketing – for example, considering an episode every time an electronic banner advertised a gambling site – which is somewhat paradoxical given in-play betting is illegal in Australia (as of mid-2016).

Online_Sports_Betting_Australia

One of the marketing tricks is the use of the psychological bias known as the ‘representativeness heuristic’ (coined by Dr. Amos Tversky and Dr. Daniel Kahneman). Imagine the following two betting propositions concerning a soccer game: (a) FC Barcelona will lose the next match against the bottom team in the league (an extremely unlikely event, say 0.01 probability); (b) FC Barcelona will lose the next match against the bottom team in the league but (i.e. AND) Leo Messi will score at least one goal (this one an extremely likely event, for the sake of the argument, 0.99 probability). Mathematically speaking, proposition B can never be a better choice than proposition A, since P(A)=0.01 as opposed to P(B)=0.01×0.99= 0.0099. However, bookmakers understand that Messi scoring a goal is a highly representative event that can be effortlessly be retrieved from memory, transferring the representativeness to the whole betting proposition. In addition, it is plausible that representative heuristics work in conjunction with wishful thinking, overestimating the likelihood of an event based on one’s own preferences, as anecdotal evidence from betting advertisements concerning national teams participating in international competitions appear to suggest.

In a recent paper in the Journal of Sport and Social Issues, I and my colleagues (Dr. Hibai Lopez-Gonzalez and Dr. Ana Estevez) discussed two of most utilized master narratives in online betting promotions are discussed, namely skill-enhancing narratives – in which there is an overemphasis on the capacities and knowledge of the bettor – and, at the other end of the spectrum, risk-lowering narratives – which underemphasise the risks involved in betting and typically overestimate the probability of winning.

Skill-enhancing narratives: In a 2016 issue of iGaming Business magazine, Vahe Baloulian, CEO of the betting software company BetConstruct, declared that new features were there to give customers ‘a chance to feel more in control by engaging more often and making decisions’ with ‘feel’ and ‘control’ being the keywords here. The ‘feel’ component refers to a perceived non-factual sensation that lies at the heart of the advertising endeavour. The perception of control over the betting activity has been found to be a common attribute of gambling narratives in Swedish research by Dr. Per Binde, in which elements of skill have been exaggerated, as well as in televised commercials from Canada (in a 2008 paper by John McMullan and Delthia Miller in the Journal of Gambling Issues), wherein betting has been associated with the imagery of media sport communication, skills, and long-meditated strategies, while luck was downplayed.

Many betting features newly added to online platforms are said by commercials to enhance the control of the user over the outcome of the event bet upon, including more gamified experiences (where passive bettors supposedly become players), immersive betting experiences, and fantasy sports (where the player actively recruits a team). In these examples, the betting experience demands a higher involvement from the bettor, arguably resulting in a psychological transference between the active role of a bettor executing actions and the actual influence a bettor’s actions may have on the outcome of an external event. In essence, betting advertising contributes to the myth of gambling as a sport, an activity that is healthy, harmless, and that can be mastered with practice and talent.

Among the most used selling points that enhance the self-efficacy and control of the sports bettor are the narratives of masculinity. Attributes such as loyalty to the team, being a real man, and being brave enough to prove sporting knowledge have been implicit in some sports betting messages, including stereotyped gender depictions and sexualized imagery. According to recent research by Dr. Nerilee Hing and colleagues (in the International Journal of Mental Health and Addiction), the prototype sports bettor is male, young, tech-savvy, and professional, which aligns with the target audience of betting advertising. This reinforces the idea of male providers that sublimates in gambling their manly instincts for aggression, competition, and combat, as was observed in the behaviour of horserace bettors as identified in early studies.

Risk-lowering advertising: In parallel to the skill-enhancing strategies, advertising diminishes the harmful consequences of excessive betting by representing it as a risk-free activity. The combined narrative would be that of a safe environment where intelligent people possess the tools to succeed. In an attempt to lower the perceived risk inherently embedded in any betting activity, three major messages have been emphasized by advertisers: (i) betting is a perfectly normal activity; (ii) errors in betting predictions are not fatal; and (iii) betting is a social activity.

Advertising has been frequently proposed as a significant mechanism of gambling normalisation including new social media channels (see Dr. Sally Gainsbury and colleagues 2016 research in the Journal of Gambling Studies). The portrayal of gambling attitudes and behaviours in media representations as well as in real life environments promotes the idea of gambling as an intrinsic form of entertainment. This is true for all forms of gambling but sports betting presents some singular intensifiers. Unlike any other gambling form, sport instils in betting its health and sanitization attributes. Attributes such as fair competition, success through talent and perseverance, equal opportunities and big rewards, respect for nature, green and healthy habits are transmitted to betting behaviour. Celebrities deepen that connection as they have been proven to reduce the perceived risk by the public of the products they endorse. Sportspeople tell the story of young, talented risk-takers who challenged the odds but emerged successful in the end, arguably a perfect incarnation of the bettor’s own aspirational narrative.

Another marketing technique broadly employed by betting operators concerns the provision of risk-free bets. Advertisements typically offer welcome bonuses for new customers, free bonuses for loyal clientele, and money-back exceptions in multiple complex accumulated bets. All of these free offers pose a dual threat. On the one hand, the so-called free money requires bettors to engage in further betting in order to reclaim their benefits (leading to money losses in the process). On the other hand, even if it is a bona fide free bonus, problem gamblers might conceptualise betting as a riskless activity that entails no responsibilities even when done excessively.

A third main risk-lowering technique used in commercials is the representation of betting as a social form of entertainment to be conducted alongside other people. Solitary gambling, like solitary drinking, has been thought to be a determinant and/or consequence of problem gambling. However, some studies have raised the alarm about the misconception that gambling, when done in group, cannot be problematic (see the recent work of Emily Deans and her colleagues in ‘Further reading’ below). In fact, peer facilitation has been identified as a fundamental contributing factor to impulse betting, with excessive betting being more plausible when sport matches are viewed in the company of others (as shown by Mattew Lamont and colleagues in a 2016 qualitative study in Sport Management Review). Sport is a cultural product, socially consumed (watched, practiced, discussed, and bet upon). The social stigma attached to gambling habits might be shifting towards its naturalisation, a long-term process that advertising cannot carry out on its own but can certainly facilitate.

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

Further reading

Binde, P. (2009). ‘You could become a millionaire’: Truth, deception, and imagination in gambling advertising. In: Kingma S (ed.), Global Gambling: Cultural Perspectives on Gambling Organizations, (pp. 171-194). London: Routledge.

Deans, E.G., Thomas, S.L,. Derevensky, J. & Daube, M. (2017) The influence of marketing on the sports betting attitudes and consumption behaviours of young men: implications for harm reduction and prevention strategies. Harm Reduction Journal, 14(5). doi:10.1186/s12954-017-0131-8.

Deans, E.G., Thomas, S.L,. Daube, M., Derevensky, J., et al. (2016) Creating symbolic cultures of consumption: an analysis of the content of sports wagering advertisements in Australia. BMC Public Health, 16(1), 208.

Deans, E.G., Thomas, S.L,. Daube, M. & Derevensky J (2016) The role of peer influences on the normalisation of sports wagering: a qualitative study of Australian men. Addiction Research & Theory. doi: 10.1080/16066359.2016.1205042.

Gainsbury, S.M., Delfabbro, P., King, D.L., et al. (2016) An exploratory study of gambling operators’ use of social media and the latent messages conveyed. Journal of Gambling Studies, 32, 125–141.

Gordon, R. & Chapman, M. (2014). Brand community and sports betting in Australia. Victoria, Australia: Victorian Responsible Gambling Foundation.

Guerrero-Solé, F., Lopez-Gonzalez, H., Griffiths, M.D. (2017). Online gambling advertising and the Third-Person Effect: A pilot study. International Journal of Cyber Behavior, Psychology and Learning, 7(2), 15-30.

Hing, N. (2014). Sports betting and advertising (AGRC Discussion Paper No. 4). Melbourne: Australian Gambling Research Centre.

Hing, N., Lamont, M., Vitartas, P., et al. (2015). Sports-embedded gambling promotions: A study of exposure, sports betting intention and problem gambling amongst adults. International Journal of Mental Health and Addiction, 13(1), 115–135.

Lamont, M., Hing, N. & Vitartas, P. (2016). Affective response to gambling promotions during televised sport: A qualitative analysis. Sport Management Review, 19(3), 319-331.

Lindsay, S., Thomas, S., Lewis, S., et al. (2013) Eat, drink and gamble: marketing messages about ‘risky’ products in an Australian major sporting series. BMC Public Health 13(1), 719.

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, 41, 256-272.

Lopez-Gonzalez, H. Estevez, A., Jimenez-Murcia, S. & Griffiths, M.D. (2017). Alcohol drinking and low nutritional value food eating behaviour of sports bettors in gambling adverts. International Journal of Mental Health and Addiction, 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.

Lopez-Gonzalez, H.. & Griffiths, M.D. (2017). Betting, forex trading, and fantasy gaming sponsorships – A responsible marketing inquiry into the ‘gamblification’ of English football. International Journal of Mental Health and Addiction, in press.

McMullan, J.L. & Miller, D. (2008). All in! The commercial advertising of offshore gambling on television. Journal of Gambling Issues, 22, 230-251.

Tversky, A. & Kahneman, D. (1983) Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment. Psychological Review, 90(4), 293–315.

Search of the poisoned mind? A brief look at ‘internet search dependence’

Despite being a controversial topic, research into a wide variety of online addictions has grown substantially over the last decade. My own research into online addictions has been wide ranging and has included online social networking, online sex addiction, online gaming addiction, online shopping addiction, and online gambling addiction. As early as the late 1990s/early 2000s, I constantly argued that when it came to online addictions, most of those displaying problematic behaviour had addictions on the internet rather than addictions to the internet (i.e., they were not addicted to the medium of the internet but addicted to applications and activities that could be engaged in via the internet).

A recent 2016 paper by Dr. Yifan Wang and colleagues in the journal Frontiers in Public Health described the development of the Questionnaire of Internet Search Dependence (QISD), a tool developed to assess individuals who may be displaying a dependence on using online search engines (such as Google and Baidu). The notion of individuals being addicted to using search engines is not new and was one of five types of internet addiction outlined in a 1999 typology in a paper in the Student British Medical Journal by Dr. Kimberley Young (and what she termed ‘information overload’ and referred to compulsive database searching). Although I criticized the typology on the grounds that most of the types of online addict were not actually internet addicts but were individuals using the medium of the internet to fuel other addictive behaviours (e.g., gambling, gaming, day trading, etc.), I did implicitly acknowledge that activities such as internet database searching could theoretically exist, even if I did not think it was a type of internet addiction.

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As far as I am aware, the new scale developed by Wang et al. (2016) is the first to create and psychometrically evaluate an instrument to assess ‘internet search dependence’. As noted by the authors:

Subsequently, we compiled 16 items to represent psychological characteristics associated with Internet search dependence, based on the literature review and a follow-up interview with 50 randomly selected university students…We adopted the six criteria for behavioral addiction formulated by Griffiths (i.e., salience, mood modification, tolerance, withdrawal, conflict, and relapse) [Griffiths, 1999b]”.

Given the authors claimed they used an early version of my addiction components model (i.e., one from 1999 rather than my most recent 2005 formulation) to help inform item construction, I was obviously interested to see the scale’s formulated items. I have to admit that I had a lot of misgivings about the paper so I wrote a commentary on it that has just been published in the same journal (Frontiers in Public Health). More specifically, I noted in my paper that if an individual was genuinely addicted to searching online databases I would have expected to see all of my six criteria applied as follows:

  • Salience – This occurs when searching internet databases 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 socialized behaviour). For instance, even if the person is not actually searching the internet they will be constantly thinking about the next time that they will be (i.e., a total preoccupation with internet database searching).
  • Mood modification – This refers to the subjective experiences that people report as a consequence of internet database searching 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’ when searching internet databases).
  • Tolerance – This is the process whereby increasing amounts of time searching internet databases are required to achieve the former mood modifying effects. This basically means that for someone engaged in internet database searching, they gradually build up the amount of the time they spend searching internet databases every day.
  • Withdrawal symptoms – These are the unpleasant feeling states and/or physical effects (e.g., the shakes, moodiness, irritability, etc.), that occur when an individual is unable to search internet databases because they are ill, the internet is unavailable, or there is no Wi-Fi on holiday, 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 searching internet databases.
  • Relapse – This is the tendency for repeated reversions to earlier patterns of excessive internet database searching to recur and for even the most extreme patterns typical of the height of excessive internet database searching to be quickly restored after periods of control.

Of the 12 QISD items constructed in the new scale, very few appeared to have anything to do with addiction and/or dependence but this is most likely due to the fact that the authors also used data collected from 50 participants to inform their items and not just the criteria in the addiction components model. However, relying heavily on input from their participants resulted in a number of key features in addiction/dependence not even being assessed (i.e., no assessment of salience, mood modification, conflict, relapse or tolerance). A couple of items may peripherally assess withdrawal symptoms (e.g., ‘I will be upset if I cannot find an answer to a complex question through Internet search’) but not in any way that is directly associated with addiction or dependence. This may be because the authors’ conceptualization of ‘dependence’ was more akin to ‘over-reliance’ rather than traditional definitions of dependence.

While the QISD may be psychometrically robust I argued that it appears to have little face validity and does not appear to assess problematic engagement in internet database searching (irrespective of how addiction or dependence is defined). Based on the addiction components model, I concluded my paper by creating my own scale to assess internet search dependence based directly on the addiction components model and which I argued would have much greater face validity than any item currently found in the QISD:

  • Internet database searching is the most important thing in my life.
  • Conflicts have arisen between me and my family and/or my partner about the amount of time I spend searching internet databases.
  • I engage in internet database searching as a way of changing my mood.
  • Over time I have increased the amount of internet database searching I do in a day.
  • If I am unable to engage in internet database searching I feel moody and irritable.
  • If I cut down the amount of internet database searching I do, and then start again, I always end up searching internet databases as often as I did before.

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

Further reading

Andreassen, C.S., Griffiths, M.D., Pallesen, S., Bilder, R.M., Torsheim, T. Aboujaoude, E.N. (2015). The Bergen Shopping Addiction Scale: Reliability and validity of a brief screening test. Frontiers in Psychology, 6:1374. doi: 10.3389/fpsyg.2015.01374.

Andreassen, C.S., Pallesen, S., Griffiths, M.D. (2017). The relationship between excessive online social networking, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287-293.

Canale, N., Griffiths, M.D., Vieno, A., Siciliano, V. & Molinaro, S. (2016). Impact of internet gambling on problem gambling among adolescents in Italy: Findings from a large-scale nationally representative survey. Computers in Human Behavior, 57, 99-106.

Griffiths, M.D. (1998). Internet addiction: Does it really exist? In J. Gackenbach (Ed.), Psychology and the Internet: Intrapersonal, Interpersonal and Transpersonal Applications (pp. 61-75). New York: Academic Press.

Griffiths, M.D. (1999a). Internet addiction: Internet fuels other addictions. Student British Medical Journal, 7, 428-429.

Griffiths, M.D. (1999b). Internet addiction: Fact or fiction? The Psychologist: Bulletin of the British Psychological Society, 12, 246-250.

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

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

Griffiths, M.D. (2012). Internet sex addiction: A review of empirical research. Addiction Research and Theory, 20, 111-124.

Griffiths, M.D. (2017). Commentary: Development and validation of a self-reported Questionnaire for Measuring Internet Search Dependence. Frontiers in Public Health, in press.

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.

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.

Pontes, H. & Griffiths, M.D. (2015). Measuring DSM-5 Internet Gaming Disorder: Development and validation of a short psychometric scale. Computers in Human Behavior, 45, 137-143.

Wang, Y., Wu, L., Zhou, H., Xu, J. & Dong, G. (2016). Development and validation of a self-reported Questionnaire for Measuring Internet Search Dependence. Frontiers in Public Health, 4, 274. doi: 10.3389/fpubh.2016.00274

Young, K. S. (1999). Internet addiction: evaluation and treatment. Student British Medical Journal, 7, 351-352.

It takes all sports: A brief look at sport-related betting

Over the past year I have been carrying out research with my Spanish colleague – Dr. Hibai Lopez-Gonzalez – into problematic sports betting and sports betting advertising which has already produced a number of papers (see ‘Further reading’ below) and with many more to come. One of the issues we have faced in contextualising our work is that there is no such concept as sport-related problem gambling in prevalence surveys because problem gambling is assessed on the totality of gambling experiences rather than a single activity. For instance, in the three British Gambling Prevalence Surveys (BGPSs) conducted since 1999, sport-related gambling is subsumed within a number of different gambling forms: ‘football pools and fixed odds coupons’, ‘private betting’, and ‘other events with a bookmaker’. The 2010 BGPS (which I co-authored) included ‘sports betting’ as a category, along with ‘football pools’ (no coupons), ‘private betting’, ‘spread betting’ (which can include both sports or financial trading). In addition, the 2010 BGPS added a new category under online gambling activities to include ‘any online betting’. More recently, the Health Survey for England also introduced a new category: ‘gambling on sports events (not online)’.

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Despite these limitations, some evidence can be inferred from gambling activity by gambling type. In 2014, Heather Wardle and her colleagues combined the gambling data from the Health Survey for England and the Scottish Health Survey. They reported that among adult males aged 16 years and over during a 12-month period, 5% participated in offline football pools, 8% engaged in online betting (although no indication was made about whether this only involved sport), and 8% engaged in sports events (not online). The categories were not mutually exclusive so an overlapping of respondents across categories was very likely. A similar rate was found in South Australia in a 2013 report the Social Research Centre with those betting on sports over the past year accounting for 6.1% of the adult population, an increase from the 4.2% reported in 2005.

In Spain, the Spanish Gambling Commission (Direccion General de Ordenacion del Juego [DGOJ] reported that 1.5% of the adult (male and female) population had gambled online on sports in 2015. This is a significantly lower proportion compared with the British data, although the methodological variations cannot be underestimated. Spanish data also shows that, among those who have gambled online on a single gambling type only, betting on sports is the more prevalent form with up to 66% of those adults.

In France, the data on the topic only focuses on those who gamble rather than examining the general population of gamblers and non-gamblers. Among online gamblers, Dr. Jean-Michel Costes and colleagues reported in a 2011 issue of the journal Tendances that 35.1% had bet on sports during the last 12 months. In another French study by Costes and colleagues published in a 2016 issue of the Journal of Gambling Studies, sports betting represented 16.4% of the gambling cohort, although again, the representativeness of sports betting behaviour among the general gambling and non-gambling population could not be determined.

Due to the aforementioned shortcomings in the definition of sport-related gambling, there is only fragmented empirical evidence concerning the impact of sports-related problem gambling behaviour. For instance, in 2014, Dr. Nerilee Hing noted that clinical reports indicate that treatment seeking for sports-related problem gambling had grown in Australia. In British Columbia (Canada), a 2014 survey by Malatests & Associates for the Ministry of Finance reported that 23.6% of at-risk or problem gamblers had gambled on sports either offline or online. A smaller proportion (16.2%) was found in the Spanish population screened in the national gambling DGOJ survey, except this subgroup was entirely composed of online bettors.

In a 2011 study published in International Gambling Studies with patients from a pathological gambling unit within a community hospital in Barcelona, Dr. Susana Jiménez-Murcia and her colleagues found that among those who had developed the disorder gambling online only (as opposed to those who gamble both online/offline or offline only), just over half (50.8%) were sport bettors. Those who gambled online only (on any activity) and those that only gambled online on sports events represented a small minority of the total number of problem gamblers. Overall, there is relatively little research on this sub-group of gamblers therefore I and others will be monitoring the evolution of this trend as the online gambling population grows.

(Note: This blog was co-written with input from Dr. Hibai Lopez-Gonzalez).

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

Further reading

Costes, J-M, Kairouz, S., Eroukmanoff, V., et al. (2016) Gambling patterns and problems of gamblers on licensed and unlicensed sites in France. Journal of Gambling Studies 32(1), 79–91.

Costes, J., Pousset, M., Eroukmanoff, V., et al. (2010). Gambling prevalence and practices in France in 2010. Tendances, 77, 1–8.

DGOJ (2016a) Análisis del perfil del jugador online. Madrid: Ministerio de Hacienda y Administraciones Públicas.

DGOJ (2016b) Estudio sobre prevalencia, comportamiento y características de los usuarios de juegos de azar en España 2015. Madrid: Ministerio de Hacienda y Administraciones Públicas.

Hing, N. (2014) Sports betting and advertising (AGRC Discussion Paper No. 4). Melbourne: Australian Gambling Research Centre.

Jiménez-Murcia S, Stinchfield R, Fernández-Aranda F, et al. (2011) Are online pathological gamblers different from non-online pathological gamblers on demographics, gambling problem severity, psychopathology and personality characteristics? International Gambling Studies 11(3), 325–337.

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.

Malatests & Associates Ltd (2014). 2014 British Columbia Problem Gambling Prevalence Study. Victoria, Canada: Gaming policy and enforcement branch, Ministry of Finance.

The Social Research Centre (2013) Gambling prevalence in South Australia. Adelaide, Australia: Office for problem gambling. Available from: http://phys.org/news/2012-03-lung-doctors-respiratory-diseases-worsen.html.

Wardle, H., Moody. A., Spence, S., Orford, J., Volberg, R., Jotangia, D., Griffiths, M.D., Hussey, D. & Dobbie, F. (2011).  British Gambling Prevalence Survey 2010. London: The Stationery Office.

Wardle H, Seabury C, Ahmed H, et al. (2014) Gambling behaviour in England & Scotland. Findings from the health survey for England 2012 and Scottish health survey 2012. London: NatCen Social Research.

Wardle, H., Sproston, K., Orford, J., Erens, B., Griffiths, M.D., Constantine, R. & Pigott, S. (2007). The British Gambling Prevalence Survey 2007. London: The Stationery Office.

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.

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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.

The song and binding mode: Musical hallucinations in video game playing

According to a 2015 review in the journal Frontiers in Psychology by Jan Coebergh and colleagues, musical hallucinations (MHs) “are auditory hallucinations characterized by songs, tunes, melodies, harmonics, rhythms, and/or timbres…and that the mechanisms responsible for the mediation of MH are probably diverse”. While Danilo Vitorovic and Jose Biller reported in a 2013 issue of Frontiers in Neurology that the prevalence rate of MHs among the general population is at present unknown and/or rare, ‘involuntary musical imagery’ (INMI) is thought to be more commonplace. For instance, in a 2012 Finnish study in the journal Psychology of Music, Lassi Liikkanen reported that 89% of the total sample (n=12,519) reported experiencing INMI at least once a week. Music hallucination prevalence rates among various groups have been reported including obsessive-compulsive disorder patients (41%; Journal of Clinical Psychiatry, 2004), elderly people with auditory problems (2.5%; International Journal of Geriatric Psychiatry, 2002), and general hospital setting patients (0.16%; Psychosomatics, 1998).

Although Coebergh and colleagues described MHs, they were not explicitly defined. In a review in a 2014 issue of the Journal of Medical Case Reports, Woo and colleagues defined MHs as complex auditory perceptions in the absence of an external acoustic stimulus and are often consistent with previous listening experience” whereas the 2013 review by Vitorovic and Biller (see above) noted that MHs represent a specific form of auditory hallucinations whereby patients experience formed songs, instrumental music, or tunes, without an external musical stimulus”. In a 2015 paper in the journal Psychomusicology: Music, Mind, and Brain, Tim Williams provided a classification of INMI and noted they cover a number of different types of involuntary musical experience (including MHs). Despite the lack of detailed definition, it is known that MHs occur within the context of an individual’s culture and are often viewed by those experiencing them as intrusive and sometimes unpleasant.

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In 2015, Dr. Angelica Ortiz de Gortari and I wrote a commentary paper on musical hallucinations in videogame playing in response to the review by Coebergh and colleagues. As far as we were aware, we noted that no review paper examining musical hallucinations had ever included papers referring to musical hallucinations arising from playing video games. The earliest report in the psychological literature is by Sean Spence (published in 1993 in the Irish Journal of Psychological Medicine) who reported the case of a 20-year-old female patient with a family history of psychosis. She presented with persecutory delusions, suicidal ideation, violent behaviour and third-person auditory hallucinations comprising 48 hours of constant MHs from the Mario Brothers videogame that developed into delusional thoughts. No drugs were found in her urinary system and her EEG was normal when MHs occurred. The MHs from the videogame decreased within 48 hours of treatment (using antidepressants and neuroleptics).

More recently, a series of papers by Dr. Ortiz de Gortari and I examined Game Transfer Phenomena (GTP). GTP research has demonstrated how the videogame can keep on playing even after the game has been turned off. GTP are non-volitional phenomena (e.g., altered perceptions, automatic mental processes, and involuntary behaviors). In an analysis of over 1600 gamers’ self-reports, our research has shown that videogame playing can lead to (i) perceptual distortions of physical objects, environments, and/or sounds, (ii) misperceptions of objects and sounds that are similar to those in the videogame, (iii) interpretation of events in real life contexts that utilize the logic of the videogame, (iv) ghost perceptions and sensations of images, sounds, and tactile experiences, and (v) involuntary actions and behaviors based on experiences from the videogame.

One study that we published in a 2014 issue of the International Journal of Cyber Behavior, Psychology and Learning specifically examined auditory GTP experiences. Gamers’ experiences identified as GTP in one or more modalities (e.g., visual, auditory) were collected from 60 online videogame forums over seven months. Of these, there were 192 auditory experiences from 155 gamers collected. The largest numbers of experiences (90%) were identified as involuntary auditory imagery. This manifested as hearing music (n = 73), sound (n = 83), or voices from within the game (n = 12). Some experiences were triggered by external cues associated with the game, while others were not. Experiences with music included hearing high pitch music in addition to calm and classical music.

Music from the videogames was usually experienced persistently, while sound effects or voices appeared to have occurred more episodically. Hearing the music persistently provoked sleep deprivation, annoyance, and uncertainty. When the music was re-experienced very vividly, the gamers attributed them to external sources associated with the videogame. More specifically, when auditory cues were associated with adverse videogame content, they resulted in irrational thoughts, reactions and changes in behaviour. In many cases, the gamers said that they had been playing intensively (i.e., either playing long sessions or playing frequently). Previous studies have linked hearing music in absence of auditory stimuli with the recent or repeated exposure to music (see ‘Further reading’ below including: Gardner, 1985; Gerra et al., 1998; Hyman et al., 2012).

In our study, one gamer said that he heard the sound of music coming out from the speakers so he stood up to check them while another heard music from Pokémon when vacuuming. It also appears that musical hallucinations can cross sensory modalities. For instance, some gamers have reported hearing music while seeing images from the video game. An online survey about GTP with a convenience sample of 2,362 gamers found that hearing music from videogames when not playing were the more prevalent (74%) than hearing sounds (65.0%) or voices (46%) when not playing (Ortiz de Gortari & Griffiths, 2015b).

Based on what is known empirically, our paper concluded that (i) MHs from videogame playing – although not well documented – appear to be relatively commonplace among gamers and prevalence appears to be higher than found in other populations, (ii) individual interpretation of MHs from videogames are influenced by the meanings and uses of auditory cues in the videogames, (iii) MHs can manifest beyond one sensory modality and has been reported across-sensory channels (e.g., hearing music while seeing ghost images from the game), (iv) there is little evidence that MHs among videogame players are linked to other underlying pathology (e.g., epilepsy, psychiatric disorder, etc.), (v) those researching in the field of MHs and INMI appear to have overlooked the literature on these phenomena related to videogame playing, and (vi) better definitions are needed for MHs and a distinction between MHs and INMI is required.

(Please note: This blog is based on material used in the following paper: Griffiths, M.D. & Ortiz de Gortari, A.B. (2015). Musical hallucinations: Review of treatment effects. Frontiers in Psychology, 6, 1885. doi: 10.3389/fpsyg.2015.01885).

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

Further reading

Coebergh, J. A. F., Lauw, R. F., Bots, R., Sommer, I. E. C., & Blom, J. D. (2015) Musical hallucinations: review of treatment effects. Frontiers in Psychology, 6, 814.

Cole M.G., Dowson, L., Dendukuri, N., & Belzile, E. (2002). The prevalence and phenomenology of auditory hallucinations among elderly subjects attending an audiology clinic. International Journal of Geriatric Psychiatry (2002) 17, 444–52.

Fukunishi, I., Horikawa, N., & Onai, H. Prevalence rate of musical hallucinations in a general hospital setting. Psychosomatics (1998) 39, 175.

Hermesh H. (2004). Musical hallucinations: prevalence in psychotic and nonpsychotic outpatients. Journal of Clinical Psychiatry, 65, 191–7. doi:10.4088/JCP.v65n0208

Gardner, M. P. (1985). Mood states and consumer behavior: A critical review. Journal of Consumer Research, 12, 281-300.

Gerra, G., Zaimovic, A., Franchini, D., Palladino, M., Giucastro, G., Reali, N., . . . Brambilla, F. (1998). Neuroendocrine responses of healthy volunteers to `techno-music’: relationships with personality traits and emotional state. International Journal of Psychophysiology, 28(1), 99-111.

Griffiths, M.D. & Ortiz de Gortari, A.B. (2015). Musical hallucinations: Review of treatment effects. Frontiers in Psychology, 6, 1885. doi: 10.3389/fpsyg.2015.01885

Hyman, I. E., Burland, N. K., Duskin, H. M., Cook, M. C., Roy, C. M., McGrath, J. C., & Roundhill, R. F. (2012). Going gaga: Investigating, creating, and manipulating the song stuck in my head. Applied Cognitive Psychology, 27, 204-215.

Liikkanen, L. A. (2012). Musical activities predispose to involuntary musical imagery. Psychology of Music, 40(2), 236-256.

Ortiz de Gortari, A. B, Aronsson, K. & Griffiths, M. D. (2011). Game Transfer Phenomena in video game playing: A qualitative interview study. International Journal of Cyber Behavior, Psychology and Learning, 1(3), 15-33.

Ortiz de Gortari, A. B. & Griffiths, M. D. (2014). Auditory experiences in Game Transfer Phenomena: An empirical self-report study. International Journal of Cyber Behavior, Psychology and Learning, 4(1), 59-75.

Ortiz de Gortari, A. B. & Griffiths, M. D. (2014). Altered visual perception in Game Transfer Phenomena: An empirical self-report study. International Journal of Human-Computer Interaction, 30, 95-105.

Ortiz de Gortari, A.B. & Griffiths, M.D. (2014). Automatic mental processes, automatic actions and behaviours in Game Transfer Phenomena: An empirical self-report study using online forum data. International Journal of Mental Health and Addiction, 12, 432-452.

Ortiz de Gortari, A.B. & Griffiths, M.D. (2015). Game Transfer Phenomena and its associated factors: An exploratory empirical online survey study. Computers in Human Behavior, 51, 195-202.

Ortiz de Gortari, A. B., Pontes, H. M. & Griffiths, M. D. (2015). The Game Transfer Phenomena Scale: An instrument for investigating the non-volitional effects of video game playing. Cyberpsychology, Behavior and Social Networking, in press.

Ortiz de Gortari, A.B. & Griffiths, M.D (2015b). Prevalence and characteristics of Game Transfer Phenomena: A descriptive survey study. Manuscript under review.

Spence, S. A. (1993). Nintendo hallucinations: A new phenomenological entity. Irish Journal of Psychological Medicine, 10, 98–99.

Vitorovic, D. & Biller, D. (2013). Musical hallucinations and forgotten tunes – case report and brief literature review. Frontiers in Neurology, 4, 109. doi: 10.3389/fneur.2013.00109

Williams, T. I. (2015). The classification of involuntary musical imagery: The case for earworms. Psychomusicology: Music, Mind, and Brain, 25(1), 5-13.

Woo, P. Y. M. Leung, L. N. Y., Cheng, S. T. M. & Chan, K-Y. (2014). Monoaural musical hallucinations caused by a thalamocortical auditory radiation infarct: a case report. Journal of Medical Case Reports, 8, 400.

Ga(y)ming studies: The importance of sexuality in video gaming

Back in May 2014, hundreds of news outlets reported on Nintendo’s decision not to allow gamers to play as gay characters and form same-sex relationships in the life-simulation game Tomodachi Life. Understandably, there was disquiet and outrage from a number of quarters despite Nintendo’s statement that “Tomodachi Life was intended to be a whimsical and quirky game [and] not trying to provide social commentary”. Their statement at the time appeared to fan the flames rather than silence the critics.

I have been researching video game play for almost three decades and I’ve always found issues surrounding character formation, sexuality, and gender in gaming of great psychological interest. In one of our studies we found that a majority of gamers (57%) had gender-swapped their game character with female gamers (68%) being more likely to gender swap than male gamers (54%). We argued that gender swapping enabled gamers to play around and experiment with various aspects of their in-game character that are not so easy to do in real life. For others it was just fun to see if they felt any different playing a different gendered character. What makes our findings interesting is that in most instances, the gamers had the opportunity to choose the gender of their character and to develop other aspects of their character before they began to play. Choosing to gender swap may have had an effect on the gamers’ styles of play and interaction with other gamers. Whatever the reasons, it was clear from our research that the development of gamers’ online characters and avatars was important to them.

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One of the reasons for the importance of online gaming identities may be because it subverts traditional parasocial interaction (PI). PI is a concept used by psychologists that has traditionally described one-sided, parasocial interpersonal relationships in situations where one individual knows a great deal about someone else, but where the other person knows little about the other (the most common being the relationship between celebrities and their fans).

A study led by Nicholas Bowman (and published in a 2012 issue of the journal Cyberpsychology, Behavior and Social Networking [CPBSN]) argued that the playing of video games challenges this concept “as the distance between game players and characters is greatly reduced, if not completely removed, in virtual environments.” The study claimed that online gaming encourages the “psychological merging of a player’s and a character’s mind” and is critical in the development of character attachment. In this context, the sexuality of a character for a player may be of fundamental psychological importance.

This appears to be confirmed in a paper by Melissa Lewis and colleagues (also published in CPBSN) who developed a scale to assess ‘character attachment’ (the connection felt by a video game player toward a video game character”). They found that character attachment had a significant relationship with self-esteem, addiction, game enjoyment, and time spent playing games.

American researcher Dr. Adrienne Shaw has carried out a number of studies into lesbian, gay, bisexual, and transgender (LGBT) representation in video games from a cultural production perspective. She was one of the first academics in the gaming studies field to note that there was a relative lack of LGBT representation in video games. Other areas of the entertainment media (e.g., music, film, and television) appear to have much greater LGBT representation than in video games so it does beg the question of why the gaming industry appears to be behind in this respect. I recall writing a paper back in 1993 (in The Psychologist) where I argued that most video games at the time were designed by males for other males. This arguably alienated female gamers but eventually led to developers introducing strong female characters into video games (the most notable being Lara Croft in Tomb Raider). Maybe the appearance of LGBT characters and role models within games will increase over time but I’m not holding my breath.

In a more recent paper in a 2012 paper in the journal New Media and Society, Dr. Shaw claimed that the demand for minority representation in video games “often focuses on proving that members of marginalized groups are gamers” and that the gaming industry should focus on appealing to such players via targeted content. However, she argues that an individual’s identity as a gamer will intersect with “other identities like gender, race, and sexuality.” She then goes on to say that the negative connotations about being an online gamer may lead to such marginalized groups not wanting to engage in gaming. She concluded that “those invested in diversity in video games must focus their attention on the construction of the medium, and not the construction of the audience…[This] is necessary to develop arguments for representation in games that do not rely on marking groups as specific kinds of gaming markets via identifiers like gender, race, and sexuality.”

Nintendo’s decision not to allow gay relationships to form within Tomodachi Life was ill-judged, ill-informed, and outdated. Games in which identity content can be generated by its users needs to reflect the world in which the gamers’ live. In short, there should be no compromise when it comes to allowing gamers to choose their sexuality within the game.

(N.B. A version of this article first appeared in The Conversation)

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

Further reading

Bowman, N. D., Schultheiss, D., & Schumann, C. (2012). “I’m attached, and I’m a good guy/gal!”: how character attachment influences pro-and anti-social motivations to play massively multiplayer online role-playing games. Cyberpsychology, Behavior, and Social Networking, 15(3), 169-174

Griffiths, M.D. (1993). Are computer games bad for children? The Psychologist: Bulletin of the British Psychological Society, 6, 401-407.

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.

Hussain, Z., & Griffiths, M. D. (2008). Gender swapping and socializing in cyberspace: An exploratory study. CyberPsychology and Behavior, 11(1), 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, Ciències de l’Educació i de l’Esport, 28, 245-272.

Lewis, M. L., Weber, R., & Bowman, N. D. (2008). “They may be pixels, but they’re MY pixels:” Developing a metric of character attachment in role-playing video games. CyberPsychology and Behavior, 11(4), 515-518.

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