TY - JOUR
T1 - Adapting in times of crisis: how social media marketing of gambling changed with major shifts in the gambling landscape
AU - Houghton, Scott
AU - Boy, Frederic
AU - Bradley, Alexander
AU - James, Richard J. E.
AU - Wardle, Heather
AU - Dymond, Simon
PY - 2025/10/13
Y1 - 2025/10/13
N2 - Gambling marketing on social media in countries like Great Britain (GB) is relatively well understood. Little is known, however, about how such marketing is impacted by major changes to the gambling landscape, like the COVID-19 pandemic. Here, we assessed changes in the frequency, sentiment, and content of gambling marketing on Twitter by Great Britain (GB) gambling operators and affiliates. We analysed n=353,134 tweets from 10 operators and affiliates posted between January 2020 and July 2022. Using machine learning, we categorised tweets based on content and tracked how social media use by operators and affiliates changed during the pandemic. Findings revealed decreases in the frequency of tweets posted during the first national lockdown, particularly for affiliates, and a greater proportion of sports content related tweets, compared to direct advertising, as the pandemic continued. Postings by affiliates tended to include more positive sentiments. Our findings highlight the speed at which gambling operators and affiliates adapted their social media marketing campaigns to large structural changes like the COVID-19 lockdowns.
AB - Gambling marketing on social media in countries like Great Britain (GB) is relatively well understood. Little is known, however, about how such marketing is impacted by major changes to the gambling landscape, like the COVID-19 pandemic. Here, we assessed changes in the frequency, sentiment, and content of gambling marketing on Twitter by Great Britain (GB) gambling operators and affiliates. We analysed n=353,134 tweets from 10 operators and affiliates posted between January 2020 and July 2022. Using machine learning, we categorised tweets based on content and tracked how social media use by operators and affiliates changed during the pandemic. Findings revealed decreases in the frequency of tweets posted during the first national lockdown, particularly for affiliates, and a greater proportion of sports content related tweets, compared to direct advertising, as the pandemic continued. Postings by affiliates tended to include more positive sentiments. Our findings highlight the speed at which gambling operators and affiliates adapted their social media marketing campaigns to large structural changes like the COVID-19 lockdowns.
KW - gambling marketing
KW - social media
KW - operators
KW - affiliates
KW - machine learning
KW - sentiment analysis
UR - https://www.scopus.com/pages/publications/105019206292
U2 - 10.1080/1369118X.2025.2572025
DO - 10.1080/1369118X.2025.2572025
M3 - Article
SN - 1369-118X
SP - 1
EP - 17
JO - Information Communication and Society
JF - Information Communication and Society
ER -