The Transparency Project

Division on Addiction, The Cambridge Health Alliance, a Harvard Medical School teaching hospital

Publications by Dataset

Population Trends in Internet Sports Gambling

• LaPlante, D. A., Schumann, A., LaBrie, R. A., & Shaffer, H. J. (2008). Population trends in Internet sports gambling. Computers in Human Behavior, 24(5), 2399-2414. DOI: 10.1016/j.chb.2008.02.015.

Patterns of Daily Fantasy Sports Play: Tackling the Issues

• Nelson, S. E., Edson, T. C., Singh, P., Tom, M. A., Martin, R. J., LaPlante, D. A., Gray, H. M., & Shaffer, H. J. (2019). Patterns of Daily Fantasy Sport Play: Tackling the Issues. Journal of Gambling Studies, 35(1), 181-204. DOI: 10.1007/s10899-018-09817-w

A Scoping Review of "Responsible Drinking" Interventions

• Gray, H. M., Wiley, R. C., Williams, P. M., & Shaffer, H. J. (2020). A Scoping Review of "Responsible Drinking" Interventions. Health Communication, 1-21. https://doi.org/10.1080/10410236.2020.1733226

Understanding the Relation Between Social Behaviors and Daily Fantasy Sports Risk Behavior

• Tom, M. A., Williams, P. M., Edson, T. C., & LaPlante, D. A. (2019). Understanding the Relation Between Social Behaviors and Daily Fantasy Sports Risk Behavior. Journal of Gambling Studies. https://doi.org/10.1007/s10899-019-09911-7

Observations of the first GameSense-branded responsible gambling centre in a US casino

• Gray, H. M., Keating, L., Shaffer, H. J., & LaPlante, D. A. (2019). Observations of the first GameSense-branded responsible gambling centre in a US casino. Health Education Journal. https://doi.org/10.1177/0017896919863121

Gamblers Perceptions of Stakeholder Responsibility for Minimizing Gambling Harm

• Gray, H.M., LaPlante, D.A., Abarbanel, B. et al. (2019). Gamblers Perceptions of Stakeholder Responsibility for Minimizing Gambling Harm. Int J Ment Health Addiction. https://doi.org/10.1007/s11469-019-0056-4

Responsible gambling: A synthesis of the empirical evidence

• Ladouceur, Robert & Shaffer, Paige & Blaszczynski, Alex & Shaffer, Howard (2018). Responsible gambling: A synthesis of the empirical evidence. Journal of Gambling Studies, 10.1007/s10899-018-9792-9.

Associations between national gambling policies and disordered gambling prevalence rates within Europe

• Planzer, S., Gray, H. M. & Shaffer, H. J. (2014). Associations between national gambling policies and disordered gambling prevalence rates within Europe. International Journal of Law and Psychiatry 2/37, http://dx.doi.org/10.1016/j.ijlp.2013.11.002.

How Do Gamblers Start Gambling: Identifying Behavioural Markers for High-risk Internet Gambling

• Braverman, J., & Shaffer, H. J. (2012). How do gamblers start gambling: Identifying behavioural markers for high-risk Internet gambling. European Journal of Public Health, 22(2), 273-278.

Using Cross-game Behavioral Markers for Early Identification of High-risk Internet Gamblers

• Braverman, J., LaPlante, D.A., Nelson, S.E., & Shaffer, H.J. (2013). Using cross-game behavioral markers for early identification of high-risk Internet gamblers. Psychology of Addictive Behaviors, 27(3), 868-877. DOI: 10.1037/a0032818 (Password Protected).

Behavioral characteristics of Internet gamblers who trigger corporate responsible gambling interventions

• Gray, H.M., LaPlante, D.A., & Shaffer, H.J. (2012). Behavioral characteristics of Internet gamblers who trigger corporate responsible gambling interventions. Psychology of Addictive Behaviors, 26(3), 527-535.

Actual Internet sports gambling activity: February 2005 through September 2005

• LaBrie, R. A., LaPlante, D. A., Nelson, S. E., Schumann, A., & Shaffer, H. J. (2007). Assessing the playing field: A prospective longitudinal study of Internet sports gambling behavior. Journal of Gambling Studies, 23, 347-362. (Password Protected)

Meta-analytic prevalence estimates of disordered gambling in the US & Canada

• Shaffer, H. J., Hall, M. N., Bilt, J. V. (1999). Estimating the prevalence of disordered gambling behavior in the United States and Canada: A research synthesis. American Journal of Public Health, 89(9), 1369-1376.

• Shaffer, H. J., & Hall, M. N. (2001). Updating and refining prevalence estimates of disordered gambling behaviour in the United States and Canada. Canadian Journal of Public Health, 92(3), 168-172.

Virtual casino gambling: February 2005 through February 2007

• LaBrie R. A., Kaplan, S. A., LaPlante, D. A., Nelson, S. E., and Shaffer, H. J. (2008). Inside the virtual casino: A prospective longitudinal study of actual Internet casino gambling. European Journal of Public Health, 18(4), 410-416. (Password Protected)

Sitting at the Virtual Poker Table: February 2005 through February 2007

• LaPlante, D. A., Kleschinsky, J., LaBrie, R. A., Nelson, S. E., & Shaffer, H. J. (2009). Sitting at the virtual poker table: February 2005 through February 2007. Computers in Human Behavior, 25(3). 711-717. (Password Protected)

Actual Internet sport gambling among self-limiters

• Nelson, S. E., LaPlante, D. A., Peller, A. J., Schumann, A., LaBrie, R. A., & Shaffer, H. J. (2008). Real limits in the virtual world: Self-limiting behavior of Internet gamblers. Journal of Gambling Studies, 24(4), 463-477.

Actual Internet sport gambling among subscribers who attempt to exceed corporate deposit limits

• Broda, A., LaPlante, D. A., Nelson, S. E., LaBrie, R. A., Bosworth, L. B. & Shaffer, H. J. (2008). Virtual harm reduction efforts for Internet gambling: Effects of deposit limits on actual Internet sports gambling behavior. Harm Reduction Journal, 5, 27.

Other papers that used Transparency Project datasets

• Adami, N., Benini, S., Boschetti, A., Canini, L., Maione, F., & Temporin, M. (2013). Markers of unsustainable gambling for early detection of at-risk online gamblers. International Gambling Studies, 13(2), 188-204.

• Brosowski, T., Meyer, G., & Hayer, T. (2012). Analyses of multiple types of online gambling within one provider: An extended evaluation framework of actual online gambling behaviour. International Gambling Studies, 12(3), 405-419.

• Coussement, K.,& De Bock, K. W. (2013). Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning. Journal of Business Research, 66(9), 1629-1636.