Due to the importance of word choice in political discourse, this study explored the use of the term “fake news.” Using a social network analysis, content analysis, and cluster analysis, political characteristics of online networks that formed around discussions of “fake news” were examined. This study found that “fake news” is a politicized term where conversations overshadowed logical and important discussions of the term. Findings also revealed that social media users from opposing political parties communicate in homophilous environments and use “fake news” to disparage the opposition and condemn real information disseminated by the opposition party members.
We analyzed Instagram posts about Zika by using the Health Belief Model. We found a high presence of threat messages, yet little engagement with these posts. Public health professionals should focus on posting messages to increase self-efficacy and benefits of protective behavior, especially when a vaccine becomes available.
Background:
Social media platforms provide an indirect medium for encouraging e-cigarette use between individuals and also serve as a direct marketing tool from e-cigarette brands to potential users. E-cigarette users share information via social media that often contains product details or health-related claims.
Objective:
Determine whether e-cigarette use is associated with exposure to e-cigarettes on social media in college students.
Methods:
Data from a sample of 258 college students was obtained via a clicker-response questionnaire (90% response rate). Demographic, lifetime and current e-cigarette/cigarette use, and e-cigarette exposure via social media (peer posts or advertisements) were examined. Logistic regression was used to assess the relationship between lifetime and current e-cigarette use and viewing peer posts or advertisements on social media while adjusting for cigarette use and self-posting about e-cigarettes.
Results:
Overall, 46% of participants reported lifetime e-cigarette use, 16% current e-cigarette use, and 7% were current dual users of e-cigarettes and cigarettes. There were positive and significant associations between lifetime e-cigarette use and viewing peer posts (aOR=3.11; 95% CI =1.25–7.76) as well as advertisements (aOR=3.01; 95% CI =1.19–7.65) on e-cigarettes via social media after adjusting for cigarette use. Current e-cigarette use was only significantly associated with viewing peer posts via social media (aOR=7.58; 95% CI =1.66–34.6) after adjusting for cigarette use.
Conclusions/Importance:
Almost half of college students view peer posts and advertisements on e-cigarettes via social media. This exposure is associated with individual e-cigarette use. Continued efforts to examine online e-cigarette content are needed to help future interventions decrease e-cigarette use.
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