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Social Media and Alcohol: Summary of Research, Intervention Ideas and Future Study Directions

Author

Listed:
  • Megan A. Moreno

    (Pediatrics, University of Washington, USA)

  • Jon D’Angelo

    (Communication Arts, University of Wisconsin-Madison, USA)

  • Jennifer Whitehill

    (Public Health, University of Massachusetts, USA)

Abstract

Alcohol content is frequently displayed on social media through both user-generated posts and advertisements. Previous work supports that alcohol content on social media is influential and often associated with offline behaviors for adolescents and young adults. Social media may have a role in future alcohol intervention efforts including identifying those at risk or providing timely prevention messages. Future intervention efforts may benefit from an affordance approach rather than focusing on a single platform.

Suggested Citation

  • Megan A. Moreno & Jon D’Angelo & Jennifer Whitehill, 2016. "Social Media and Alcohol: Summary of Research, Intervention Ideas and Future Study Directions," Media and Communication, Cogitatio Press, vol. 4(3), pages 50-59.
  • Handle: RePEc:cog:meanco:v4:y:2016:i:3:p:50-59
    DOI: 10.17645/mac.v4i3.529
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    References listed on IDEAS

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    1. Cynthia Chew & Gunther Eysenbach, 2010. "Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-13, November.
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