A cross-sectional examination of marketing of electronic cigarettes on Twitter

Tob Control. 2014 Jul;23 Suppl 3(Suppl 3):iii26-30. doi: 10.1136/tobaccocontrol-2014-051551.

Abstract

Background: Rapid increases in marketing of e-cigarettes coincide with growth in e-cigarette use in recent years; however, little is known about how e-cigarettes are marketed on social media platforms.

Methods: Keywords were used to collect tweets related to e-cigarettes from the Twitter Firehose between 1 May 2012 and 30 June 2012. Tweets were coded for smoking cessation mentions, as well as health and safety mentions, and were classified as commercial or non-commercial ('organic') tweets using a combination of Naïve Bayes machine learning methods, keyword algorithms and human coding. Metadata associated with each tweet were used to examine the characteristics of accounts tweeting about e-cigarettes.

Results: 73,672 tweets related to e-cigarettes were captured in the study period, 90% of which were classified as commercial tweets. Accounts tweeting commercial e-cigarette content were associated with lower Klout scores, a measure of influence. Commercial tweeting was largely driven by a small group of highly active accounts, and 94% of commercial tweets included links to websites, many of which sell or promote e-cigarettes. Approximately 10% of commercial and organic tweets mentioned smoking cessation, and 34% of commercial tweets included mentions of prices or discounts for e-cigarettes.

Conclusions: Twitter appears to be an important marketing platform for e-cigarettes. Tweets related to e-cigarettes were overwhelmingly commercial, and a substantial proportion mentioned smoking cessation. E-cigarette marketing on Twitter may have public health implications. Continued surveillance of e-cigarette marketing on social media platforms is needed.

Keywords: Electronic nicotine delivery devices; Media; Social marketing.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Bayes Theorem
  • Commerce
  • Cross-Sectional Studies
  • Electronic Nicotine Delivery Systems*
  • Electronics
  • Humans
  • Internet*
  • Marketing*
  • Nicotine / administration & dosage
  • Smoking
  • Smoking Cessation
  • Social Media*
  • Tobacco Products

Substances

  • Nicotine