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Representations of electronic cigarettes in Chinese media

Overview of attention for article published in BMC Public Health, June 2018
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Title
Representations of electronic cigarettes in Chinese media
Published in
BMC Public Health, June 2018
DOI 10.1186/s12889-018-5644-x
Pubmed ID
Authors

Shaojing Sun, Giuseppe A. Veltri, Fan Wang

Abstract

Electronic cigarettes (E-cigarettes) have become a debated issue for tobacco control over recent years. In this study we investigate how Chinese newspapers have covered E-cigarettes over the past ten years. The study analyses the salience, patterns and content of news articles pertaining to E-cigarettes in regional and national Chinese outlets. A total of 476 articles are examined via content analysis and supervised automatic text analysis. The manual content analysis generates a coding scheme, which is then validated and applied to machine learning. The whole research methodology demonstrates satisfying human-human and human-to-computer reliabilities. The study reveals that E-cigarettes have not received enough attention in terms of its salience in the media, though the amount of coverage has been growing. A large share of the articles is published around May of each year - which is when the No Tobacco Day of the WHO takes place. The results point to four major themes on E-cigarettes: nicotine/constituents/features, tobacco control/regulation, children's use of E-cigarettes, and tobacco market/industry. Overall, E-cigarettes have not been a topic at the top of media agenda; however, we have identified a considerable growth of coverage about the potential concerns regarding young people's adoption of E-cigarettes advocated by parents and educators.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 15%
Student > Master 8 12%
Professor 6 9%
Researcher 5 8%
Lecturer 3 5%
Other 6 9%
Unknown 28 42%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Psychology 5 8%
Social Sciences 4 6%
Nursing and Health Professions 4 6%
Computer Science 3 5%
Other 9 14%
Unknown 30 45%