Literature DB >> 24227540

Applying linguistic methods to understanding smoking-related conversations on Twitter.

Ashley Sanders-Jackson1, Cati G Brown1, Judith J Prochaska2.   

Abstract

INTRODUCTION: Social media, such as Twitter, have become major channels of communication and commentary on popular culture, including conversations on our nation's leading addiction: tobacco. The current study examined Twitter conversations following two tobacco-related events in the media: (1) President Obama's doctor announcing that he had quit smoking and (2) the release of a photograph of Miley Cyrus (a former Disney child star) smoking a cigarette. With a focus on high-profile individuals whose actions can draw public attention, we aimed to characterise tobacco-related conversations as an example of tobacco-related public discourse and to present a novel methodology for studying social media.
METHODS: Tweets were collected 11-13 November 2011 (President Obama) and 1-3 August 2011 (Miley Cyrus) and analysed for relative frequency of terms, a novel application of a linguistic methodology.
RESULTS: The President Obama data set (N=2749 tweets) had conversations about him quitting tobacco as well as a preponderance of information on political activity, links to websites, racialised terms and mention of marijuana. Websites and terms about Obama's smoke-free status were most central to the conversation. In the Miley Cyrus data (N=4746 tweets), terms that occurred with the greatest relative frequency were positive, emotional and supportive of quitting (eg, love, and please), with words such as 'love' most central to the conversation.
CONCLUSIONS: People are talking about tobacco-related issues on Twitter, and semantic network analysis can be used to characterise on-line conversations. Future interventions may be able to harness social media and major current events to raise awareness of smoking-related issues. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Addiction; Advertising and Promotion; Prevention; Social marketing

Mesh:

Year:  2013        PMID: 24227540      PMCID: PMC4103964          DOI: 10.1136/tobaccocontrol-2013-051243

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  5 in total

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Authors:  Tiffany Leigh Linkovich-Kyle; Amy M Schreiner; Michael E Dunn
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2.  Twitter=quitter? An analysis of Twitter quit smoking social networks.

Authors:  Judith J Prochaska; Cornelia Pechmann; Romina Kim; James M Leonhardt
Journal:  Tob Control       Date:  2011-07-05       Impact factor: 7.552

3.  Evaluating social media's capacity to develop engaged audiences in health promotion settings: use of Twitter metrics as a case study.

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Journal:  Health Promot Pract       Date:  2012-12-27

4.  The small world of human language.

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Journal:  Proc Biol Sci       Date:  2001-11-07       Impact factor: 5.349

5.  Modeling users' activity on twitter networks: validation of Dunbar's number.

Authors:  Bruno Gonçalves; Nicola Perra; Alessandro Vespignani
Journal:  PLoS One       Date:  2011-08-03       Impact factor: 3.240

  5 in total
  5 in total

1.  Characterizing JUUL-related posts on Twitter.

Authors:  Jon-Patrick Allem; Likhit Dharmapuri; Jennifer B Unger; Tess Boley Cruz
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2.  How social media influence college students' smoking attitudes and intentions.

Authors:  Woohyun Yoo; JungHwan Yang; Eunji Cho
Journal:  Comput Human Behav       Date:  2016-07-06

3.  Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection.

Authors:  Yoonsang Kim; Jidong Huang; Sherry Emery
Journal:  J Med Internet Res       Date:  2016-02-26       Impact factor: 5.428

4.  E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends.

Authors:  Jon-Patrick Allem; Emilio Ferrara; Sree Priyanka Uppu; Tess Boley Cruz; Jennifer B Unger
Journal:  JMIR Public Health Surveill       Date:  2017-12-20

5.  Whose Post Is It? Predicting E-cigarette Brand from Social Media Posts.

Authors:  Elizabeth A Vandewater; Stephanie L Clendennen; Emily T Hébert; Galya Bigman; Christian D Jackson; Anna V Wilkinson; Cheryl L Perry
Journal:  Tob Regul Sci       Date:  2018-03
  5 in total

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