Abstract

The internet raises substantial challenges for policy makers in regulating gambling harm. The proliferation of gambling advertising on Twitter is one such challenge. However, the sheer scale renders it extremely difficult to investigate using conventional techniques. In this article, the authors present three U.K. Twitter gambling advertising studies using both big data analytics and manual content analysis to explore the volume and content of gambling ads, the age and engagement of followers, and compliance with U.K. advertising regulations. They analyze 890,000 organic ads from 417 accounts along with data on 620,000 followers and 457,000 engagements (replies and retweets). They find that approximately 41,000 U.K. children follow Twitter gambling accounts, and that two-thirds of gambling advertising tweets fail to fully comply with regulations. Ads for e-sports gambling are markedly different from those for traditional gambling (such as on soccer, casinos, and lotteries) and appear to have strong appeal for children, with 28% of engagements with e-sports gambling ads coming from users under 16 years old. The authors make six policy recommendations: spotlight e-sports gambling advertising, create new social media–specific regulations, revise regulation on content appealing to children, use technology to block users under 18 years from seeing gambling ads, require ad labeling of organic gambling tweets, and deploy better enforcement.

Highlights

  • The internet raises substantial challenges for policy makers in regulating gambling harm

  • Our first objective is to investigate the volume and content of Twitter advertising sent by U.K. gambling operators and its compliance with advertising regulations. We address this in Studies 1 and 2 using big data analytics and manual content analysis

  • Our big data analytics revealed that the volume is high

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Summary

Introduction

The internet raises substantial challenges for policy makers in regulating gambling harm. The authors present three U.K. Twitter gambling advertising studies using both big data analytics and manual content analysis to explore the volume and content of gambling ads, the age and engagement of followers, and compliance with U.K. advertising regulations. Our first objective is to investigate the volume and content of Twitter advertising sent by U.K. gambling operators and its compliance with advertising regulations We address this in Studies 1 and 2 using big data analytics and manual content analysis. Our second objective is to ascertain the age of the followers of Twitter gambling advertising and to assess engagement with the ads (e.g., replying, retweeting) We explore this in Study 3 by employing big data analytics. These three studies form part of a larger project commissioned by GambleAware (a large independent grant-making charity) to assess the volume and content of gambling advertising in all media as well as its impact on U.K. children, young people, and vulnerable groups

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