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Public reactions to e-cigarette regulations on Twitter: a text mining analysis
  1. Allison J Lazard1,
  2. Gary B Wilcox2,3,
  3. Hannah M Tuttle4,
  4. Elizabeth M Glowacki3,5,
  5. Jessica Pikowski1
  1. 1 School of Media and Journalism, University of North Carolina at Chapel Hill, Chapel Hill, USA
  2. 2 Stan Richards School of Advertising and Public Relations, University of Texas at Austin, Austin, USA
  3. 3 Center for Health Communication, University of Texas at Austin, Austin, USA
  4. 4 Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA
  5. 5 Department of Communication Studies, University of Texas at Austin, Austin, USA
  1. Correspondence to Dr Allison J Lazard, School of Media and Journalism, University of North Carolina at Chapel Hill, Carroll Hall 384, Chapel Hill, NC 27599, USA; lazard{at}unc.edu

Abstract

Background In May 2016, the Food and Drug Administration (FDA) issued a final rule that deemed e-cigarettes to be within their regulatory authority as a tobacco product. News and opinions about the regulation were shared on social media platforms, such as Twitter, which can play an important role in shaping the public’s attitudes. We analysed information shared on Twitter for insights into initial public reactions.

Methods A text mining approach was used to uncover important topics among reactions to the e-cigarette regulations on Twitter. SAS Text Miner V. 12.1 software was used for descriptive text mining to uncover the primary topics from tweets collected from May 1 to May 17 2016 using NUVI software to gather the data.

Results A total of nine topics were generated. These topics reveal initial reactions to whether the FDA’s e-cigarette regulations will benefit or harm public health, how the regulations will impact the emerging e-cigarette market and efforts to share the news. The topics were dominated by negative or mixed reactions.

Conclusions In the days following the FDA’s announcement of the new deeming regulations, the public reaction on Twitter was largely negative. Public health advocates should consider using social media outlets to better communicate the policy’s intentions, reach and potential impact for public good to create a more balanced conversation.

  • Electronic nicotine delivery devices
  • Public opinion
  • Media

Statistics from Altmetric.com

Footnotes

  • Contributors AJL and GBW conceptualised and designed the

    study. GBW collected the data. AJL, GBW and HMT

    analysed the data. AJL, GBW, HMT, EMG and JP interpreted the data and wrote the initial draft manuscript. All authors contributed to the manuscript revisions.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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