Category Archives: Internet gambling

Learning, yearning, but not earning: A brief look at student gambling

Last week, the UK Gambling Commission put out a press release relating to student gambling. Having been in the university sector for as long as I have been researching gambling (i.e., 30 years), student gambling is an area that has always been close to my professional heart. I have published dozens of papers on youth gambling and student gambling over the last three decades (see ‘Further reading’ below for a few examples).

With my daughter leaving home to go to university this week there are lots I could potentially worry about and gambling isn’t necessarily my main concern where my daughter is concerned, but gambling is still of concern to me especially because a study I published back in 2012 with Luke Benson and Dr. Christine Norman (in the International Journal of Mental Health and Addiction) found that first year university students gambled more than final year students and were more susceptible to problem gambling compared to final year students.

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The Gambling Commission have just published their own research into the topic. They hired Youth Sight who conducted 1,000 online interviews with undergraduate students in August 2017 (the students were part of an online panel recruited from applicants through Universities and Colleges Admission Service). The quotas chosen reflected the UK student population in terms of gender, course year and university group. Here are some of their key findings:

  • Two-thirds of students had gambled in the previous month
  • Over half of student gamblers (54%) engaged in gambling to make money
  • Two-fifths of students said they felt guilty after they had gambled
  • One in eight student gamblers had missed lectures due to gambling
  • One in four student gamblers (25%) had spent more money gambling than they could afford
  • One in 25 student gamblers (4%) were in debt because of their gambling
  • One in four students that had a gambling debt, had a debt of over £10,000

The Gambling Commission noted there were are number of limitations with the study. They specifically noted that gambling participation rates may have been higher than if the data had been collected using other methodologies (telephone, face-to-face interviews) due to the self-selecting nature of online surveys. However, online surveys were chosen due to students’ access to technology and the availability of a representative panel via this method. 

On the back of their survey, the Gambling Commission also provided their top ten tips to help students avoid getting into trouble with gambling. I have reproduced them here verbatim.

  • Ask yourself why you are gambling: Are you gambling to escape debt or as a way to make quick money? Think carefully about your motivations to gamble. Gambling shouldn’t be seen as the answer to improving your personal finances. If you have concerns about money, speak to a financial adviser or student support services.
  • Monitor how often you’re gambling online: Websites must give you access to historic account activity. This means you can see exactly when, how much and what you’ve been gambling on over time and make well-informed choices about what to do next.
  • Keep track of how much time you’ve spent gambling: With a reality check, you can set alerts to pop up on screen, which help you to monitor the time spent gambling either online or on gaming machines in a betting shop.
  • Limit how much you can spend: If you’re concerned about how much money you’re gambling, you can set a limit on how much you spend across individual gambling products online. You can also set a limit on how much you spend on gaming machines in a betting shop.
  • Give yourself a timeout: During a timeout, you can block yourself from gambling online for a set amount of time, of up to 6 weeks, and even bar yourself from gambling during a specific time of day.
  • Need a longer break? Self-exclude from gambling firms for a minimum of 6 months: If you think you are spending too much time or money gambling – whether online or in gambling premises – you can ask to be self-excluded. This is when you ask the company to stop you from gambling with them for a period of time. The exclusion will last for a minimum of least six months. Self-exclusion can be used if you think you have a problem with gambling and want help to stop. [The Gambling Commission] are also working with industry representatives to develop a national online self-exclusion scheme.
  • Read the terms and conditions: Did you know almost 80% of gamblers haven’t read the terms and conditions on the websites they are gambling on? By taking the time to read the T&Cs, you can ensure you understand exactly what you are gambling on, and what restrictions are attached to promotions and bonus offers (such as a minimum spend level before the bonus is paid) – this will help you make an informed decision.
  • Make sure the website you’re gambling with is licensed: Make sure you’re gambling with a Gambling Commission licensed business. This means you’ll be protected by gambling and consumer protection rules in Great Britain. Licensed gambling businesses must display that they are licensed and provide a link to our licence register where you can see what type of activities they are allowed to offer and also if we have taken any regulatory action against them.
  • Check how your money is protected: Any gambling business that holds customer funds must explain in their T&Cs how customer funds are protected if the business goes bust – this should help you decide who you want to gamble with.
  • Feel it’s getting too much? Talk to someone: There are a number of gambling support groups available if you feel your gambling is getting out of control or too much. More information about the signs of problem gambling can be found on the Gambleaware and Gamcare websites [You can call the National Gambling Helpline on Freephone 0808 8020 133]. They also provide general information about gambling, including how to gamble safely and where to get help if you or someone you know has problems with their gambling.

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

Further reading

Benson, L., Norman, C. & Griffiths, M.D. (2012). The role of impulsivity, sensation seeking, coping, and year of study in student gambling: A pilot study. International Journal of Mental Health and Addiction, 10, 461-473.

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.

Canale, N., Vieno, A., Lenzi, M., Griffiths, M.D., Borraccino, A., Lazzeri, G., Lemma, P., Scacchi, L., Santinello, M. (2017). Income inequality and adolescent gambling severity: Findings from a large-scale Italian representative survey. Frontiers in Psychology, 8, 1318. doi: 10.3389/fpsyg.2017.01318

Gambling Commision (2017). Commission raises awareness of potential risks for students who gamble. September 12. Located at: http://www.gamblingcommission.gov.uk/news-action-and-statistics/news/2017/Commission-raises-awareness-of-potential-risks-for-students-who-gamble.aspx

Griffiths, M.D. (1995). Adolescent Gambling. London: Routledge.

Griffiths, M.D. (2002). Adolescent gambling: What should teachers and parents know? Education and Health, 20, 31-35.

Griffiths, M.D. (2002). Gambling and Gaming Addictions in Adolescence. Leicester: British Psychological Society/Blackwells.

Griffiths, M.D. (2008). Adolescent gambling in Great Britain. Education Today: Quarterly Journal of the College of Teachers. 58(1), 7-11.

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

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. & Calado, F. (2017). Adolescent gambling. Reference Module in Neuroscience and Biobehavioral Psychology (pp. 1-12). Oxford: Elsevier.

Griffiths, M.D. & Linsey, A. (2006). Adolescent gambling: Still a cause for concern? Education and Health, 24, 9-11.

Griffiths, M.D. & Parke, J. (2010). Adolescent gambling on the Internet: A review. International Journal of Adolescent Medicine and Health, 22, 59-75.

Teaming reign: A brief look at marketing convergence in online sports betting

The marketing cycle of a typical online betting firm aptly illustrates the converging nature of sports and its neighbouring industries. For instance, consider the following football narrative. A betting site buys advertisement space in a national newspaper. The online edition of that newspaper accompanies the advertisement with an active link. If a user clicks on it and access the betting site, the newspaper as an affiliate marketer will get 30% of the money that user has lost betting. In order to boost the number of users clicking on it, the paper publishes next to it a news article featuring Real Madrid on the eve of a match against Manchester United with the following headline: ‘Cristiano Ronaldo scored in 4 of his last 5 visits to Old Trafford’. Now, the journalist shares the link to that piece of news on Twitter, predicting a goal from Ronaldo, with a non-negligible likelihood that he or she is in business with a betting company, according to what was found in a 2014 sample of the ten most followed sports journalists in Spain.

The tweet might be read by someone at home, or even in the stands of a stadium as the game is being played, in which case a betting company might have sponsored the installation of high-speed Wi-Fi connection to facilitate bets. The bet will be preferably made in the proprietary app of the team, who partnered with the betting firm for an amount of money in exchange for adorning the stadium with the brand’s logo, although exclusivity in the electronic banners surrounding the pitch is not possible since the home team must comply with the different betting partners of the league.

Generating-Income-from-Sports-Betting-Affiliate-Programs

Chances are that those at home watching the game on television will hear a litany of statistics about the game delivered by the commentators, provided by a data company like Perform or Dimension Data, who in turn also provide those same data to betting companies, and which are also in a partnership with the league. It is these same data that will inform a fantasy league competition, which also sponsors the league. It might be the case that among the members of the family watching the game at home there are minors who cannot legally gamble for money, for whom a social gaming alternative is also available that can smooth the transition towards real money gambling in the future.

Also, for some demographic groups, sports betting might not be as appealing as eSports, but sport teams have already started sponsoring players in those competitions. When the match has finished, fans can watch further gambling commercials such as ones related to poker, conveniently introduced by sportsmen such as Neymar, Rafael Nadal or Cristiano Ronaldo, or indulge themselves in a little trading in the forex market company Xtrade endorsed by Cristiano Ronaldo himself.

A potential downside of such convergence might be the errors derived by a faulty identification of each product’s category and characteristics. The border between not-for-real-money social gaming on sports and real money gambling might not be obvious, especially when gambling gradually approaches gaming with more gamification attributes being added to the betting experience, and simultaneously, gaming approaches gambling by implementing real or virtual money in-app micro purchases or simulating gambling environments. Blurred lines might impact the understanding of what is information and what is promotion, as has been observed with children having problems distinguishing gambling advertising from non-advertising content (as demonstrated by Helena Sandberg and her colleagues in a 2011 issue of the International Journal of Communication). Another downside could be the transference of positive attributes from sport to other markets (most notably financial trading or poker in the example above), that buy their way into the mental association by, for instance, becoming a named sponsor of a sporting competition.

However, neither the situational and structural characteristics nor the cross-marketing convergence act as singular factors determining online betting behaviour. More likely, they work by aggregation, populating a marketing and advertising ecosystem that far from curtailing other gambling motivating factors – individual factors such as the biological, psychological or social characteristics of the gambler – it facilitates them.

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

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

Further reading

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 (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.

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..

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., 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., Estévez, A. & Griffiths, M.D. (2017). Controlling the illusion of control: A grounded theory of sports betting advertising in the UK. International Gambling Studies, 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.

Lopez-Gonzalez,Generating-Income-from-Sports-Betting-Affiliate-Programs 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., Guerrero-Sole, F. & Griffiths, M.D. (2017). A content analysis of how ‘normal’ sports betting behaviour is represented in gambling advertising. Addiction Research and Theory, in press.

Lopez-Gonzalez, H. & Tulloch, C.D. (2015) Enhancing media sport consumption: Online gambling in European football. Media International Australia, 155, 130–139.

Sandberg, H., Gidlof, K. & Holmberg, N. (2011). Children’s exposure to and perceptions of online advertising. International Journal of Communication, 5, 21–50.

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.

Doctor, doctor: What can British GPs do about problem gambling?

A study published in the British Journal of General Practice in March 2017 reported that of 1,058 individuals surveyed in GP waiting rooms in Bristol (UK), 0.9% were problem gamblers and that a further 4.3% reported gambling problems that “were low to medium severity”. This is in line with other British studies carried out over the last decade which have reported problem gambling prevalence rates of between 0.5% and 0.9%.

I have long argued that problem gambling is a health issue and that GPs should routinely screen for gambling problems. Back in 2004, I published an article in the British Medical Journal about why problem gambling is a health issue. I argued that the social and health costs of problem gambling were (and still are) large at both individual and societal levels.

uk-gambling-trade-bodies-unite-to-improve-responsible-gaming

Personal costs can include irritability, extreme moodiness, problems with personal relationships (including divorce), absenteeism from work, neglect of family, and bankruptcy. Adverse health consequences for problem gamblers and their partners include depression, insomnia, intestinal disorders, migraine, and other stress related disorders. In my BMJ article I also noted that analysis of calls to the GamCare national gambling helpline indicated that a small minority of callers reported health-related consequences as a result of their problematic gambling. These included depression, anxiety, stomach problems, and suicidal ideation. Obviously many of these medical problems arise through the stress of financial problems but that doesn’t make it any less of a health issue for those suffering from severe gambling problems.

Research published in the American Journal of Addictions has also shown that health-related problems can occur as a result of withdrawal effects. For instance, one study by Dr. Richard Rosenthal and Dr. Henry Lesieur found that at least 65% of pathological gamblers reported at least one physical side effect during withdrawal, including insomnia, headaches, loss of appetite, physical weakness, heart racing, muscle aches, breathing difficulty, and chills.

Based on these findings, problem gambling is very much a health issue that needs to be taken seriously by all in the medical profession. GPs routinely ask patients about smoking cigarettes and drinking, but gambling is something that is not generally discussed. Problem gambling may be perceived as a grey area in the field of health, and it is therefore very easy for those in the medical profession not to have the issue on their wellbeing radar. If the main aim of GPs is to ensure the health of their patients, then an awareness of gambling and the issues surrounding it should be an important part of basic knowledge and should be taught in the curriculum while prospective doctors are at medical school. One of the reasons that GPs don’t routinely screen for problem gambling is because they are not taught about it during their medical training and therefore do not even think about screening for it in the first place. As I recommended in a report commissioned by the British Medical Association, the need for education and training in the diagnosis, appropriate referral and effective treatment of gambling problems must be addressed within GP training. More specifically, GPs should be aware of the types of gambling and problem gambling, demographic and cultural differences, and the problems and common co-morbidities associated with problem gambling. GPs should also understand the importance of screening patients perceived to be at increased risk of gambling addiction, and should be aware of the referral and support services available locally.

I also recommended that treatment for problem gambling should be provided under the NHS (either as standalone services or alongside drug and alcohol addiction services) and funded by gambling-derived profit revenue.

Back in 2011, Dr. Jane Rigbye and myself published a study using Freedom of Information requests to ask NHS trusts if they had ever treated pathological gamblers. Only 3% of the trusts had ever treated a problem gambler and only one trust said they offered dedicated help and support. I’m sure if we repeated the study today, little will have changed.

It is evident that problem gambling is not, as yet, on the public health agenda in the UK. NHS services – including GP surgeries – need to be encouraged to see gambling problems as a primary reason for referral and a valid treatment option. Information about gambling addiction services, in particular services in the local area, should be readily available to gamblers and GP surgeries are a good outlet to advertise such services. Although some gambling services (such as GamCare, the gambling charity I co-founded) provide information to problem gamblers about local services, such information is provided to problem gamblers who have already been proactive in seeking gambling help and/or information. Given that very few GPs could probably treat a problem gambler, what they must have is the knowledge of who they can refer their patients to.

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

Further reading

Calado, F. & Griffiths, M.D. (2016). Problem gambling worldwide: An update of empirical research (2000-2015). Journal of Behavioral Addictions, 5, 592–613.

Cowlishaw, S., Gale, L., Gregory, A., McCambridge, J., & Kessler, D. (2017). Gambling problems among patients in primary care: a cross-sectional study of general practices. British Journal of General Practice, doi: bjgp17X689905

Griffiths, M.D. (2001). Gambling – An emerging area of concern for health psychologists. Journal of Health Psychology, 6, 477-479.

Griffiths, M.D. (2004). Betting your life on it: Problem gambling has clear health related consequences. British Medical Journal, 329, 1055-1056.

Griffiths, M.D. (2007). Gambling Addiction and its Treatment Within the NHS. London: British Medical Association (ISBN 1-905545-11-8).

Griffiths, M.D. & Smeaton, M. (2002). Withdrawal in pathological gamblers: A small qualitative study. Social Psychology Review, 4, 4-13.

Rigbye, J. & Griffiths, M.D. (2011). Problem gambling treatment within the British National Health Service. International Journal of Mental Health and Addiction, 9, 276-281.

Rosenthal, R., & Lesieur, H. (1992). Self-reported withdrawal symptoms and pathological gambling. American Journal of the Addictions, 1, 150–154.

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

Nag, nag, nag: Another look at horse race betting and problem gambling

Literature reviews carried out by myself and others in the gambling studies field have concluded that electronic gaming machines (EGMs such as slot machines, pokie machines, video lottery terminals [VLTs], etc.) tend to have a higher association with problem gambling than other forms of gambling. Although any form of gambling can be potentially problematic, there is surprisingly little in the academically peer-reviewed gambling literature showing that horse race betting has a high association with problem gambling, particularly in comparison to activities such as EGM gambling.

Along with individual susceptibility and risk factors of the individual gambler, the most important determinants in the development and maintenance of problem gambling are structural characteristics, particularly those relating to the speed and frequency of the game (and more specifically event frequency, bet frequency, event duration and payout interval). More specifically, I have argued that researchers in the gambling studies field need to think about game parameters rather than specific game type when it comes to any association with problem and pathological gambling and that event frequency is the single most important determinant.

horse-racing

A study by Dr. Debi LaPlante and colleagues in the European Journal of Public Health examining types of gambling and level of gambling involvement (using data from the 2007 British Gambling Prevalence Survey of which I was one of the co-authors) indicated that when level of gambling is accounted, no specific type of gambling was associated anymore with disordered gambling, and that level of involvement in gambling better characterizes problem gambling than individual forms of gambling. In fact, this paper also concluded that:

“Two games, private betting and betting on horses, had a reversal of association. After controlling for involvement, individuals who engaged in private betting or betting on horses were significantly less likely to have gambling-related problems than people who did not…One interesting, and perhaps unanticipated, finding was that the nature of the relationships between private betting and betting on horses and gambling problems changed when we considered the influence of involvement: engaging in these types of gambling, but not other types, seemed to protect players against developing gambling problems. This finding suggests that the apparent risk between gambling activities and developing gambling-related problems resides, perhaps primarily or even entirely, among individuals who have high rates of involvement. For others who do not have high rates of involvement, playing these types of games might reflect social setting characteristics (e.g. norms) that encourage control and preclude excessive gambling”.

Similar results were also found in an Australian study by Dr. James Phillips and his colleagues in a 2013 issues of the Journal of Gambling Studies. A 2009 study by Dr. Thomas Holtgraves in the journal Psychology of Addictive Behaviors analysed all data from population-based surveys conducted in Canada between 2001 and 2005 comprising 21,374 participants (including 12,229 who had gambled in the past year). Using the Problem Gambling Severity Index to assess problem gambling, the study found that horse race gamblers had the lowest prevalence rates of problem gambling along with those that played bingo and bought raffle tickets (3%). Some types of gambling activity such as sports betting (25%) and playing video lottery terminals (18%) were much higher.

The most recent British Gambling Prevalence Survey [BGPS] published in 2011 reported that the most popular British gambling activity was playing the National Lottery (59%), a slight increase in participation from 2007 (57%). The prevalence of past-year betting on horse races was 16%. Among past year gamblers, problem gambling prevalence rates were highest among those who had played poker at a pub/club (12.8%), online slot machine games (9.1%) and fixed odds betting terminals (8.8%). The lowest problem gambling rates were among those that played the National Lottery (1.3%) and scratchcards (2.5%). Horse race gamblers also had one of the lower prevalence rates for problem gambling (2.7%). However, problem gamblers also gamble on many different activities and problem gambling prevalence was highest among those that gambled on nine or more different activities on a regular basis (28%).

More recently in 2014, Carla Seabury and Heather Wardle published an overview of gambling behaviour in England and Scotland by combining the data from the Health Survey for England and Scottish Health Survey (n=11,774 participants). It was reported that two-thirds of the sample (65%) had gambled in the past year, with men (68%) gambling more than women (62%). The findings were similar to the previous BGPS reports and showed that in terms of past-year gambling, the most popular forms of gambling were playing the National Lottery (52%; 56% males and 49% females) and scratchcards (19%; 19% males and 20% females). One in ten people (10%) had a engaged in horse race betting (12% males and 8% females).

Again, problem gambling rates were also examined by type of gambling activity. Results showed that among past year gamblers, problem gambling was highest among spread betting (20.9%), playing poker in pubs or clubs (13.2%), bet on events other than horse racing with a bookmaker (12.9%), gambling at a betting exchange (10.6%) and playing machines in bookmakers (7.2%). The activities with the lowest rates of problem gambling were playing the National Lottery (0.9%) and scratchcards (1.7%). Problem gambling among horse race gamblers were also among the lowest (2.3%). Problem gambling rates were highest among individuals that had participated in seven or more activities in the past year (8.6%) and lowest among those that had participated in a single activity (0.1%).

Along with Filipa Calado, I recently co-authored two reviews of problem gambling worldwide (one on adult gambling and one of adolescent gambling). None of the studies we reviewed highlighted horse racing to be of particular concern in relation to problem gambling and only two countries (France and Sweden) was horse race betting one of the most preferred and prevalent forms of gambling. Analysis of a 2011 French national prevalence survey by Dr. Jean-Michel Costes reported that horse race betting was fourth in a list of six gambling activities that were most associated with problem gambling (with Rapido [a high event frequency lottery game], sports betting, and poker being the most problematic gambling forms). There is also evidence from gambling treatment service providers that horse race betting is much less of an issue than other forms of gambling. In Finland, the national helpline for problem gamblers, [Peluuri] only 1% of the telephone calls received concern horse betting. In Germany, two studies surveying therapists that treat problem gambling found that the vast majority of treatment was for slot machine gamblers (approximately 75%-80% of clients) whereas treatment for horse race gamblers was 0.6%-1.7% of clients. Unfortunately, the UK problem gambling helpline run by GamCare does not separate horse race betting from any other sports betting in its’ annual helpline statistics. The most recent (2016) GamCare report noted that 11% of their callers concerned betting in a bookmaker’s but this figure included all betting not just horse race betting.

In 2008, I was invited to write a report for the Gambling Commission and reported that internationally, the vast majority of problem gamblers that contact helplines or seek treatment report machine gambling as their primary form of gambling. In Europe many countries report that it is problem EGM gamblers that are most likely to seek treatment and/or contact national gambling helplines (rather than other forms of gambling including horse race betting) including 60% of gamblers seeking help in Belgium, 72% in Denmark, 93% in Estonia, 66% in Finland, 49.5% in France, 83% in Germany, 75% in Spain, and 35% in Sweden.

All data collected in Great Britain and elsewhere in the world demonstrate that horse race betting has a relatively low past-year participation rate. All major literature reviews have concluded that electronic gaming machines tend to have a higher association with problem gambling than other forms of gambling including horse race betting. Although no form of gambling is immune from problem gambling, horse race betting has one of the lowest associations with problem gambling. Furthermore, some analysis of the most recent BGPS data has demonstrated that after controlling for gambling involvement, individuals who engage in horse race betting are significantly less likely to have gambling-related problems than people who did not.

For the vast majority of horse gamblers, the activity is a discontinuous form of gambling in that they make one or a few bets in a small time period but then not bet again for days or weeks. Therefore, the event frequencies for betting on horse racing are much lower than other gambling activities and helps explain why there is a low association with problem gambling compared to activities that have much higher event frequencies (e.g., slot machines, roulette, blackjack, etc.).

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

Further reading

Abbott, M.W.  (2007). Situational factors that affect gambling behavior. In G. Smith, D. Hodgins & R. Williams (Eds.), Research and Measurement Issues in Gambling Studies. pp.251-278. New York: Elsevier.

Calado, F., Alexandre, J. & Griffiths, M.D. (2016). Prevalence of adolescent problem gambling: A systematic review of recent research. Journal of Gambling Studies. doi: 10.1007/s10899-016-9627-5

Calado, F. & Griffiths, M.D. (2016). Problem gambling worldwide: An update of empirical research (2000-2015). Journal of Behavioral Addictions, 5, 592–613.

Costes, J. M., Pousset, M., Eroukmanoff, V., Le Nezet, O., Richard, J. B., Guignard, R., … & Arwidson, P. (2011). Les niveaux et pratiques des jeux de hasard et d’argent en 2010. Tendances, 77(1), 8

Costes, J. M, Eroukmanoff V., Richard, J.B, Tovar, M. L. (2015). Les jeux de hasard et d’argent en France en 2014. Les Notes de l’Observatoire des Jeux, 6, 1-9.

Delfabbro, P.H., King, D.L & Griffiths, M.D. (2012). Behavioural profiling of problem gamblers: A critical review. International Gambling Studies, 12, 349-366.

EMPA Pari Mutuel Europe (2012). Common Position On Responsible Gambling. Brussels: EMPA.

GamCare (2016). Annual Statistics 2015/2016. London: GamCare.

Griffiths, M.D. (2004). Betting your life on it: Problem gambling has clear health related consequences. British Medical Journal, 329, 1055-1056.

Griffiths, M.D. (2007). Gambling Addiction and its Treatment Within the NHS. London: British Medical Association.

Griffiths, M.D. (2008). Impact of high stake, high prize gaming machines on problem gaming. Birmingham: Gambling Commission.

Griffiths, M.D. (2016). Problem gambling and gambling addiction are not the same. Journal of Addiction and Dependence, 2(1), 1-3.

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.

Holtgraves, T. (2009). Gambling, gambling activities, and problem gambling. Psychology of Addictive Behaviors, 23(2), 295-302.

LaPlante, D.A., Nelson, S.E., LaBrie, R.A., & Shaffer, H.J. (2009). Disordered gambling, type of gambling and gambling involvement in the British Gambling Prevalence Survey 2007. The European Journal of Public Health, 21, 532–537

Meyer, G., Hayer, T. & Griffiths, M.D. (Eds.), Problem Gaming in Europe: Challenges, Prevention, and Interventions. New York: Springer.

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.

Phillips, J.G., Ogeil, R., Chow, Y.W., & Blaszczynski, A. (2013). Gambling involvement and increased risk of gambling problems. Journal of Gambling Studies, 29(4), 601-611.

Seabury, C. & Wardle, H. (2014). Gambling behaviour in England and Scotland. Birmingham: Gambling Commission.

Sussman, S., Lisha, N. & Griffiths, M.D. (2011). Prevalence of the addictions: A problem of the majority or the minority? Evaluation and the Health Professions, 34, 3-56.

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., Sproston, K., Orford, J., Erens, B., Griffiths, M. D., Constantine, R., & Pigott, S. (2007). The British Gambling Prevalence Survey 2007. London: National Centre for Social Research.

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

Aid and a bet: Can personalised feedback help online gamblers play more responsibly?

In recent years, online gambling has become a more common leisure time activity. Research around the world suggests around 8-16% of adults have gambled online during the past year. Research has also demonstrated that there are a number of situational and structural characteristics that make online gambling potentially risky for susceptible and vulnerable individuals. Such factors include increased accessibility, affordability, anonymity and specific structural features of online games such as high event frequency. In addition, some forms of online gambling may be more problematic than others (e.g., online poker, online casino games).

A number of scientific studies have also shown that there are typically more problematic gamblers among those that gamble on the internet compared to those that only gamble in land-based venues. However, problem gambling severity is associated with overall engagement and that when the volume of gambling is controlled for, Internet gambling is not predictive of problems. Furthermore, most online gamblers are also offline gamblers and gamble on many different activities and across different gambling platforms.

Given the increasing number of people gambling online and issues surrounding problem gambling, many of the more socially responsible gambling companies around the world have started to use responsible gambling tools to help their clientele gamble more safely (such as the option to set time and money spending limits or to temporarily self-exclude from gambling for a day, week, month, or longer). In fact, one of our own studies recently demonstrated that the use of both time and money spending limits are most effective among gamblers that play most frequently, and that the effects are differential. For instance, time spending limits were most useful for online poker players and monetary spending limits were most useful for online casino players.

In addition, gamblers can now access and/or are given general advice on healthy and responsible gambling, as well as information about common misbeliefs and erroneous perceptions concerning gambling. However, findings on the effectiveness of providing gamblers with information in correcting or changing erroneous beliefs have been mixed. Some outcomes support the display of information, while other studies have reported non-significant results.

Studies have also shown that the way information is presented can significantly influence behaviour and thinking. Several studies have investigated the effects of interactive versus static pop-up messages during gambling sessions. Static messages do not appear to be effective, whereas interactive pop-up messages and animated information have been shown to change both irrational belief patterns and behaviour of gamblers. It has also been suggested that informational warning signs should promote the application of self-appraisal and self-regulation skills rather than the simple provision of information.

In one of our more recent studies, we investigated the effect of a pop-up message that appeared after 1,000 consecutive online slot machine games had been played during a single gambling session using behavioural tracking data. Our study analysed 400,000 gambling sessions (200,000 sessions before the pop-up had been introduced and 200,000 after the pop-up had been introduced). We found that the pop-up message had a limited effect on a small percentage of players. Although the study reported nine times as many gamblers stopped after 1000 consecutive plays compared to those gamblers before the introduction of the pop-up message, the number of gamblers that actually stopped after viewing the pop-up message was less than 1%.

In a follow-up study, we investigated the effects of normative and self-appraisal feedback in a slot machine pop-up message compared to a simple (non-enhanced) pop-up message. The study compared two representative random samples of 800,000 gambling sessions (i.e., 1.6 million sessions in total) across two conditions (i.e., simple pop-up message versus an enhanced pop-up message). The results indicated that the additional normative and self-appraisal content doubled the number of gamblers who stopped playing after they received the enhanced pop-up message (1.39%) compared to the simple pop-up message (0.67%). Like our previous study, the findings suggested that pop-up messages influence only a small number of gamblers to cease long playing sessions but that enhanced messages are slightly more effective in helping gamblers to stop playing within-session. Our two studies evaluating pop-up messages are the only published studies that examine the impact of messaging on actual gamblers in a real world online gambling environment.

In order to make individuals gamble more responsibly using behavioural tracking data, we believe that player feedback should also be presented in a motivational way. In practical terms, this means presenting messages in a non-judgmental way alongside normative data so that gamblers can evaluate their actions compared to other like-minded individuals. One of our most recent studies examined personalised feedback and information given to players during real world gambling sessions. We hypothesized that gamblers receiving tailored feedback about their online gambling behaviour would be more likely to change their behaviour (as measured by the amount of time and money spent) compared to those who did not receive tailored feedback.

We were given access to the behavioural tracking data of 1,358 gamblers at a European online gambling website that had voluntarily signed up to a behavioural feedback system that we developed (called mentor) that is offered to all customers on the website. The system is an opt-in system (i.e., gamblers can voluntarily choose to use it and the system is not mandatory). Once gamblers have enrolled to use the system, they can retrieve detailed visual and numerical feedback about their gambling behaviour via a button on the website. Player feedback is displayed in a number of ways (numerical, graphical, and textual) and provides information about wins and losses, playing duration, number of playing days, and games played. The system can also display personal gambling behaviour over time. For instance, Figure 1 shows the playing time information for a hypothetical player in the form of a graph over time.

At the top of the screen, players receive information about playing time over the previous 4-week and 24-week period. The white line in Figure 1 indicates that the player shows an upward trend and is steadily increasing the amount of time spent gambling. During the previous 4-week period, the player spent 25.75 hours gambling online. The upper line in Figure 1 is the average playing time for all other comparable online players (depending upon what types of game are typically played) and provides the gambler both normative and comparative feedback. Such feedback has been emphasized as an important aspect in facilitating behavioural change. Players are either assigned to ‘lottery’ type players or ‘casino’ type players based on their playing patterns.

Of the daily active players, 10% (n=1,358) opted into the system. Players could opt-in via a clearly visible button on the post-login website page which appeared immediately after they logged into their account. The personalised information appeared in a new pop-up window. This typically led to a break in play, as gamblers who viewed the information are unlikely to play and view information simultaneously. The system tracks those players who sign up and therefore the opt-in date is known and can also be used for analytical purposes.

All the visual, numerical, and textual information can be accessed by the gambler via a user-friendly on-screen dashboard. Responsiveness means that interactive content automatically adapts to technical environments. The player front end thus looks similar on different devices such as desktops, laptops, mobile phones, or tablets and also across different browsers and operating systems such as Windows, Android or iOS.

We investigated whether players’ behaviour changed after they have registered for the mentor system and saw the personalised feedback for the first time. We then compared their gambling behaviour with over 15,000 online gamblers displaying the same types of gambling behaviour (i.e., matched controls). Our results indicated that the personalised feedback system achieved the hypothesised effect and that the time and money spent gambling was significantly reduced compared to the online gambler control group that did not utilize the mentor system. The results suggest that responsible gambling tools such as mentor may help the clientele of gambling companies gamble more responsibly, and may be of help those who gamble excessively.

To our knowledge, this study was the first real world study investigating the effects of behavioural feedback on actual gambling behaviour within a real online gambling website. However, there were a number of limitations. For instance, all of the players in the target population had voluntarily registered to use the mentor system and were therefore not selected randomly from the population of players (but we tried to overcome this by using a control group of matched pairs). In addition, the reliability of our findings is limited because our data were only collected from one online gambling environment. It may also the case that players who voluntarily signed up to receive personalised messages about their gambling were different in other ways from controls (i.e., gamblers who voluntarily signed up to receive personalised messages may have already been interested in reducing their gambling and would be likely to gamble less).

Another limitation is that we did not know whether any of the gamblers who voluntarily opted to use the mentor system were problem gamblers. Therefore we do not know whether the system captures gamblers most in need of such interventions. Based on the findings, one explanation may be that the tool may simply be curtailing gambling in those who already play responsibly. Although our study was performed in a real world setting utilising objective behavioural data, it is limited because the motivations and thoughts of the players were unknown and can only be inferred.

Online gambling operators have the technical capabilities to introduce behavioural feedback systems such as the one we described in our paper, and our findings suggest that a system like mentor can help players limit the amount of time and money spent gambling can be achieved. However, the findings are preliminary and future research should focus on investigating at which point in time players should receive personalised messages to optimize behavioural change.

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

Further reading

Auer, M. & Griffiths, M. D. (2013). Voluntary limit setting and player choice in most intense online gamblers: An empirical study of gambling behaviour. Journal of Gambling Studies, 29, 647-660.

Auer, M. & Griffiths, M. D. (2014). Personalised feedback in the promotion of responsible gambling: A brief overview. Responsible Gambling Review, 1, 27-36.

Auer, M. & Griffiths, M. D. (2015). Testing normative and self-appraisal feedback in an online slot-machine pop-up message in a real-world setting. Frontiers in Psychology, 6, 339. doi: 10.3389/fpsyg.2015.00339.

Auer, M. & Griffiths, M. D. (2015). The use of personalized behavioral feedback for problematic online gamblers: An empirical study. Frontiers in Psychology, 6, 1406. doi: 10.3389/fpsyg.2015.01406.

Auer, M. & Griffiths, M.D. (2016). Personalized behavioral feedback for online gamblers: A real world empirical study. Frontiers in Psychology, 7, 1875. doi: 10.3389/fpsyg.2016.01875. 

Auer, M., Littler, A. & Griffiths, M.D. (2015). Legal aspects of responsible gaming pre-commitment and personal feedback initiatives. Gaming Law Review and Economics, 6, 444-456.

Auer, M., Malischnig, D. & Griffiths, M.D. (2014). Is ‘pop-up’ messaging in online slot machine gambling effective? An empirical research note. Journal of Gambling Issues, 29, 1-10.

Leisure pleasure treasure: A brief look at gambling within videogames

Over the last decade, gambling and gaming technologies have begun to converge with video games featuring gambling-like elements, and gambling games featuring video gaming-like elements. Many of the newer convergent gambling-gaming convergent forms include such activities as online penny auctions and gambling-type activities on social networking sites, so-called ‘social gaming’. With regard to video gaming including gambling-like elements, a paper that I co-wrote in 2012 with Dr. Daniel King in the journal International Gambling Studies noted that simulated gambling activities and gambling themes have a substantial presence in many modern video games. We noted that gambling content in video games can be categorized according to the following three categories:

  • Standard gambling simulation, a digitally simulated interactive gambling activity that is structurally identical to the standard format of an established gambling activity, such as blackjack or roulette;
  • Non-standard gambling simulation, an interactive gambling activity that involves the intentional wagering of in-game credits or other items on an uncertain outcome, in an activity that may be partially modelled on a standard gambling activity but which contains distinct player rules or other structural components that differ from established gambling games;
  • Gambling references, the appearance of non-interactive gambling material or gambling-related paraphernalia/materials within the context of the video game.

In regard to the second of these categories, it could be argued that some online video games feature mini-games that are non-standard gambling simulations. For instance, in February 2014, the mini-game Treasure Hunter (TH) was introduced into the online video game Runescape. To get in-game prizes, players have to get keys to open chests. Originally, to participate in TH, players had to play in a members’ world. Players that tried to play TH in a free world are given the message: “As a member, you are eligible for improved prizes, so please play Treasure Hunter on a members’ world instead.” However, in April 2014, TH was reformulated and for the first time, members’ prizes could be claimed by those playing in a free world also.

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In TH, five chests can be opened, each containing one of five different gems (going from most common to least common – white, yellow, orange, red, or purple gem – with white being the most common and purple being the rarest). After obtaining a key, players select a chest (not knowing what gem is inside the chest), and open it. The player is then given the option of storing the prize in the bank, discarding the prize, collecting the prize later, or cashing out for a small number of coins. There are a number of different ways to gain TH keys (free daily keys, keys obtained through skilful gameplay, and buying keys). Members get two free keys a day and those playing in free worlds only get one free key a day. Those players paying to be in the silver or gold Premier Club get three free keys a day.

It should also be noted that (i) TH is reset every night at midnight, (ii) free keys have to be used on the day, (iii) one monthly free key can be earned by playing ‘Troll Invasion’, (iv) players can buy bonds for gold coins or money, and (v) a random number generator is used to determine the winners. After completing any daily challenge, players receive an extra key, and after completing any in-game quest, players receive two additional keys. Keys can be bought in bundles of 15 (€3.99), 35 (€8.00), 75 (€16.00), 200 (€39.99) or 450 keys (€79.99). The maximum number of keys that could be bought is $200 (US) a day and $500 (US) a week. Keys can also be earned by watching advertisements, buying products, and completing surveys (and accessed via the ‘Earn keys’ option). TH prizes include in-game skilling items, weapons, bonus experience stars, etc. or can be converted to coins.

The legal definition of gambling in Great Britain is contained in the Gambling Act 2005. It notes that gambling includes “gaming”, “betting” or “participating in lottery”. Gaming is defined in the 2005 Act as “playing a game of a chance for a prize” while betting involves the process of placing or accepting a bet on anything other than financial services that remains uncertain to at least one party of the transaction at the time of the bet. By this definition alone, it would appear that Treasure Hunter is a form of gambling if purchases to participate are made (rather than being given free spins or keys, or earning them through skilful gameplay).

In 2015, the UK Gambling Commission highlighted that they believe the mini-games within Runescape to be ‘social gaming’ and not a game of chance and therefore out of their jurisdiction in relation to the regulation of the game. They have also claim that RuneScape bonds have no intrinsic value outside of Runescape under the terms of the British Gambling Act and therefore is not gambling. The Gambling Commission also note on their website that:

“We are not saying there are no risks in social gaming, nor are we saying that this ends our interest in the issue. We are simply saying that our current assessment of the available evidence is that there is no persuasive reason for us to take regulatory action, in effect to change from maintaining a watching brief. We will continue to monitor emerging evidence, and we are prepared to change this position if the evidence warrants it”.

However, there are instances when the bonds and prizes won do have value outside of the game. Bonds that are purchased with real life currency can be sold to another player for an in-game sum of money. Bonds and prizes can also be redeemed within the game for real-life services. These services are not just limited to the buying of game-related merchandise, such as the buying of card games like Top Trumps, but also includes attendance at offline RuneScape events, such as RuneFest, hotel rooms, and even plane tickets. The bonds can also be used to pay for postage and packing of items bought outside the game. Players can also donate the bonds to charity (in which Jagex contributes the full value of the bond to the charity chosen by the player). These examples clearly demonstrate that the bonds do have specific financial value outside the game in some circumstances, and an impact on real-world activities. More specifically, they demonstrate that the financial value of the bonds and prizes can be used outside the game itself.

Mini-games like Treasure Hunter within the online game RuneScape are not uncommon and are another example of convergence between gambling and video gaming. These games appear to meet the criteria for gambling found in the gambling studies literature and should be regulated as such.

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

Further reading

Gambling Commission (2015). Explaining our approach to social gaming. Located at: http://www.gamblingcommission.gov.uk/Gambling-data-analysis/Social-media/Explaining-our-approach-to-social-gaming.aspx

Griffiths, M.D. (2003). Internet gambling: Issues, concerns and recommendations. CyberPsychology and Behavior, 6, 557-568.

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

Griffiths, M.D., King, D.L. & Delfabbro, P.H. (2009). Adolescent gambling-like experiences: Are they a cause for concern? Education and Health, 27, 27-30.

Griffiths, M.D., King, D.L. & Delfabbro, P.H. (2014). The technological convergence of gambling and gaming practices. In Richard, D.C.S., Blaszczynski, A. & Nower, L. (Eds.). The Wiley-Blackwell Handbook of Disordered Gambling (pp. 327-346). Chichester: Wiley.

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

King, D.L., Delfabbro, P.H., Derevensky, J. & Griffiths, M.D. (2012). A review of Australian classification practices for commercial video games featuring simulated gambling. International Gambling Studies, 12, 231-242.

Game on: A brief look at gambling on eSports

Like daily fantasy sports, betting on eSports (i.e., professional video gaming) has increased in popularity over the last few years and has given rise to allegations of unregulated and underage gambling. The eSports market is large. According to a 2016 report by Superdata, professional eSports is growing exponentially and is worth an estimated $612 (US) million a year. Furthermore, Eilers and Krejcik Gaming estimate that real money betting on eSports betting will reach $10 billion (US) by 2020. The professionalization and sportification of this entertainment form has brought sports-world elements to it: stadium-like facilities, cheering stands, sponsors, big rewards, and competition. Instant replays, jumbotrons (i.e., super-huge television screens), and referees add to the sport dramatisation. In some notorious cases, prizes have gone beyond the $10 million [US] threshold in a packed arena housing 73,000 fans. According to by John McMullan and Delthia Miller in a 2008 issue of the Journal of Gambling Issues, sportification is the process of incorporating the logics of sport to non-sporting contexts (e.g., poker, eSports. This can materialise in many ways but most commonly occurs when (i) other industries capitalise on the positive attributes of sport (e.g., popularity, engagement, or sanity and health inferences); and (ii) non-sport fields try to increase the entertainment and playability of their products and their association with joy and excitement.

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Twitch, an online platform that streams live video gaming, informs its’ advertisers that it has 100 million monthly viewers, who watch for an average of 106 minutes a day. Betting on eSports presents new challenges. As a news report in Bloomberg news observed in relation to betting on the game Counterstrike: Global Offensive (CSGO):

“Gambling – licensed, regulated, and by adults – is generally accepted in eSports. There is growing concern, though, that teenagers are being attracted to different forms of betting facilitated by third-party providers. One such platform is CSGO Lounge (an independent site not affiliated with Valve Software, which develops the game itself). The site allows spectators to bet in-game add-ons known as skins – weapons, tools and the like – on the results of matches. Not all skins are created equal, and the rarity of some means they can cost hundreds of real dollars on marketplace sites like SkinXchange.com. The temptation is too much for some”.

Put simply, skin gambling is the use of virtual goods and items (typically cosmetic elements that have no direct influence on gameplay) as virtual currency to bet on the outcome of professional matches. The Bloomberg article also claims on the basis of interviews with industry insiders that underage skin gambling is a “huge problem”. Justin Carlson (lead developer of SkinXchange) claims there are “countless” parents whose children have used their credit cards without their knowledge to buy skins and bet on gaming on other sites. Although anecdotal, Carlson claims that some minors have “racked up hundreds or thousands of dollars in skins on ‘SkinXchange’ just to lose them all on some betting or jackpot site”. It’s clear that people trading skins in eSports has grown over the last few years and various regulators around the world – such as the UK Gambling Commission (UKGC) – are considering regulation and says it is an “emerging product” and an “area for continuing future focus”. More specifically, the UKGC’s 2016 Annual Report notes:

 “The growing market in esports and computer gaming has scope to present issues for regulation and player protection – issues which are being examined by gambling regulators in other international markets…These issues range from the emergence of real money esports betting markets, to trading in-game items which blur the lines between gambling and social gaming. Our focus will be to understand developments, including engaging with key stakeholders, and we will work wherever we can to ensure the risks associated with these, particularly to children and young people, are minimised”.

One of the complicating factors for eSports gambling is that while cash is the currency for many gamblers, there is a growing trend towards the use of virtual currencies, or ‘in-game items’ which, according to the UKGC, can be “won, traded, sold or used as virtual currency to gamble with and converted into money or money’s worth”. These, according to the UKGC, “include digital commodities (such as ‘skins’) which can be won or purchased within the confines of computer games and can then be used as a form of virtual currency on a growing number of gambling websites”. No academic research has examined underage skin gambling but this is an issue that is unlikely to diminish over the coming years.

It is also worth noting that this massive interest in eSports followed by a massive audience has led most major betting operators to include eSports in their daily gambling offer. However, the singularities of eSports market pose new challenges that conventional online betting sites struggle to address. Suraj Gosai, co-founder of Blinkpool, an eSports dedicated betting platform, laid out two main problems: in-play betting limitations and odds algorithmic programming. For in-play betting to be viable, companies need to get access to reliable, instantaneous, and unambiguous data that can settle bets and separate winners from losers. Data companies like Perform do that in sport, and betting operators rely on their data to offer in-play action to gamblers. The problem in eSports is that actions are not as quantified and standardised as in real-life sports. To counteract that, Blinkpool created a computer vision technology that extracts data from real-time action and promotes hyper-contextual opportunities, that is, 10- to 45-second in-play betting mini-markets concerning very specific developments in the narrative of the games.

Odds programming in sports betting is fundamentally based on historical data from hundreds of thousands of games, from which each factor (home advantage, table position, head-to-head, etc.) is weighted in to determine the probability of an event occurring. In the fixed-odds betting market, the bookmaker makes available to bettors that probability plus a benefit margin. When placing a bet, an individual bets against the probability that the house has predicted. This is not yet feasible in eSports because the historical data are scarce and the modelling is complex. Companies are circumventing this problem by offering exchange betting rather than fixed-odds. This method comprises peer betting, that is, bettors do not bet against the house but between one another. This way, the house gets a commission from winning bets and operates a much less risky business.

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

Further reading

Bracken, G. (2016). We hope to be the home of eSports betting. Gambling Insider. Available from: https://www.gamblinginsider.com/in-depth/1909/we-hope-to-be-the-home-of-esports-betting

Gambling Commission (2015). Explaining our approach to social gaming. Located at: http://www.gamblingcommission.gov.uk/Gambling-data-analysis/Social-media/Explaining-our-approach-to-social-gaming.aspx

Gambling Commission (2016). Annual Report 2015/16. Birmingham: Gambling Commission.

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

Melbourne, K. & Campbell, M. (2015). Professional gaming may have an underage gambling problem. Bloomberg, September 7. Available at: http://www.bloomberg.com/news/articles/2015-09-07/professional-video-gaming-has-an-underage-gambling-problem

Superdata (2016). eSports Market Report. Available at: https://www.superdataresearch.com/market-data/esports-market-brief/

Wingfield, N. (2014) In e-Sports, video gamers draw real crowds and big money. New York Times, August 30. Available from: http://www.nytimes.com/2014/08/31/technology/esports-explosion-brings-opportunity-riches-for-video-gamers.html?_r=0

Wood, J. (2016). UK Gambling Commission: We’ll work to minimize risks from emerging esports betting markets. Esports Betting Report, July 19. Available at: http://www.esportsbettingreport.com/uk-regulators-address-esports-betting/