Assessing the bets advertised on Twitter by gambling operators and gambling affiliates – an observational study incorporating simulation data to measure bet success

References

• Browne, M., Greer, N., Rawat, V., & Rockloff, M. (2017). A population-level metric for gambling-related harm. International Gambling Studies, 17(2), 163–175. https://doi.org/10.1080/14459795.2017.1304973
   Web of Science ®Google Scholar
• Cantinotti, M., Ladouceur, R., & Jacques, C. (2004). Sports betting: Can gamblers beat randomness? Psychology of Addictive Behaviors, 18(2), 143–147. https://doi.org/10.1037/0893-164X.18.2.143
   PubMed Web of Science ®Google Scholar
• Gainsbury, S. M., Delfabbro, P., King, D. L., & Hing, N. (2016). An exploratory study of gambling operators’ use of social media and the latent messages conveyed. Journal of Gambling Studies, 32(1), 125–141. https://doi.org/10.1007/s10899-015-9525-2
   PubMed Web of Science ®Google Scholar
• GambleAware. (2018). Gambling companies spend £1.2 billion marketing online, five times more than on television ads. https://about.gambleaware.org/media/1857/2018-11-24-gambling-marketing-online-five-times-tv-ad-spend.pdf
   Google Scholar
• Gambling Commission. (2018). Gambling-related harm as a public health issue Briefing paper for Local Authorities and local Public Health providers (Issue February 2018). http://www.gamblingcommission.gov.uk/PDF/Gambling-related-harm-as-a-public-health-issue.pdf
   Google Scholar
• Goodwin, B. C., Browne, M., Rockloff, M., & Rose, J. (2017). A typical problem gambler affects six others. International Gambling Studies, 17(2), 276–289. https://doi.org/10.1080/14459795.2017.1331252
   Web of Science ®Google Scholar
• Houghton, S., McNeil, A., Hogg, M., & Moss, M. (2019). Comparing the Twitter posting of British gambling operators and gambling affiliates: A summative content analysis. International Gambling Studies, 19(2), 312–326. https://doi.org/10.1080/14459795.2018.1561923
   Web of Science ®Google Scholar
• Houghton, S., & Moss, M. (2020). Comparing football bettors’ response to social media marketing differing in bet complexity and account type – An experimental study. Journal of Behavioral Addictions, 10(3), 388–395. https://doi.org/10.1556/2006.2020.00056
   PubMed Web of Science ®Google Scholar
• Houghton, S., Moss, M., & Casey, E. (2020). Affiliate marketing of sports betting – A cause for concern? International Gambling Studies, 20(2), 240–245. https://doi.org/10.1080/14459795.2020.1718737
   Web of Science ®Google Scholar
• James, R. J. E., & Bradley, A. (2021). The use of social media in research on gambling: A systematic review. Current Addiction Reports, 8(2), 235–245. https://doi.org/10.1007/s40429-021-00364-w
   Google Scholar
• Khazaal, Y., Chatton, A., Billieux, J., Bizzini, L., Monney, G., Fresard, E., Thorens, G., Bondolfi, G., El-Guebaly, N., Zullino, D., & Khan, R. (2012). Effects of expertise on football betting. Substance Abuse: Treatment, Prevention, and Policy, 7(18), 2–7. https://doi.org/10.1186/1747-597X-7-18
   PubMedGoogle Scholar
• Killick, E., & Griffiths, M. (2019). A content analysis of gambling operators’ Twitter accounts at the start of the english premier league football season. Journal of Gambling Studies, 35(1), 1–23. https://doi.org/10.1007/s10899-019-09879-4
   PubMedGoogle Scholar
• Killick, E., & Griffiths, M. D. (2022). Impact of sports betting advertising on gambling behavior: A systematic review. ADDICTA: The Turkish Journal on Addictions, 8(3), 201–214. https://doi.org/10.5152/addicta.2022.21080
   Web of Science ®Google Scholar
• Langham, E., Thorne, H., Browne, M., Donaldson, P., Rose, J., & Rockloff, M. (2016). Understanding gambling related harm: A proposed definition, conceptual framework, and taxonomy of harms. BMC Public Health, 16(80). https://doi.org/10.1186/s12889-016-2747-0
   PubMed Web of Science ®Google Scholar
• Lopez-Gonzalez, H., Guerrero-Solé, F., & Griffiths, M. D. (2017). A content analysis of how ‘normal’ sports betting behaviour is represented in gambling advertising. Addiction Research and Theory, 26(3), 238–247. https://doi.org/10.1080/16066359.2017.1353082
   Web of Science ®Google Scholar
• Newall, P. W. S. (2015). How bookies make your money. Judgment and Decision Making, 10(3), 225–231 https://journal.sjdm.org/14/141026a/jdm141026a.pdf.
   Web of Science ®Google Scholar
• Newall, P. W. S. (2017). Behavioral complexity of British gambling advertising. Addiction Research & Theory, 25(6), 505–511. https://doi.org/10.1080/16066359.2017.1287901
   Web of Science ®Google Scholar
• Newall, P. W. S., Thobhani, A., Walasek, L., & Meyer, C. (2019). Live-odds gambling advertising and consumer Protection. PLoS ONE, 14(6), 1–18. https://doi.org/10.1371/journal.pone.0216876
   Web of Science ®Google Scholar
• Nyemcsok, C., Thomas, S. L., Bestman, A., Pitt, H., Daube, M., & Cassidy, R. (2018). Young people’s recall and perceptions of gambling advertising and intentions to gamble on sport. Journal of Behavioral Addictions, 7(4), 1068–1078. https://doi.org/10.1556/2006.7.2018.128
   PubMed Web of Science ®Google Scholar
• Pitt, H., Thomas, S. L., Bestman, A., Daube, M., & Derevensky, J. (2017). What do children observe and learn from televised sports betting advertisements? A qualitative study among Australian children. Australian and New Zealand Journal of Public Health, 41(6), 604–610. https://doi.org/10.1111/1753-6405.12728
   PubMed Web of Science ®Google Scholar
• Rockloff, M. J., Browne, M., Russell, A. M. T., Hing, N., & Greer, N. (2019). Sports betting incentives encourage gamblers to select the long odds: An experimental investigation using monetary rewards. Journal of Behavioral Addictions, 8(1), 1–9. https://doi.org/10.1556/2006.8.2019.30
   PubMedGoogle Scholar
• Rossi, R., Nairn, A., Smith, J., & Inskip, C. (2021). “Get a £10 free bet every week!”—Gambling advertising on Twitter: Volume, content, followers, engagement, and regulatory compliance. Journal of Public Policy and Marketing, 40(4), 487–504. https://doi.org/10.1177/0743915621999674
   Web of Science ®Google Scholar
• RStudio Team. (2020). RStudio: integrated development for R. PBC. http://www.rstudio.com/
   Google Scholar
• Russell, A. M. T., Hing, N., Li, E., & Vitartas, P. (2018). Gambling risk groups are not all the same: Risk factors amongst sports bettors. Journal of Gambling Studies (35), 225–246. https://doi.org/10.1007/s10899-018-9765-z
   PubMedGoogle Scholar
• Thorley, C., Stirling, A., Huynh, E. (2016) Cards on the table: The cost to government associated with people who are problem gamblers in Britain. https://www.ippr.org/files/publications/pdf/Cards-on-the-table_summary_Dec16.pdf
   Google Scholar
• Wardle, H., Reith, G., Best, D., McDaid, D., & Platt, S . (2018). Measuring gambling-related harms: A framework for action. Gambling Commission. https://www.gamblingcommission.gov.uk/PDF/Measuring-gambling-related-harms.pdf
   Google Scholar