General audience engagement with antismoking public health messages across multiple social media sites: Comparative analysis

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Abstract

Background: Public health organizations have begun to use social media to increase awareness of health harm and positively improve health behavior. Little is known about effective strategies to disseminate health education messages digitally and ultimately achieve optimal audience engagement. Objective: This study aims to assess the difference in audience engagement with identical antismoking health messages on three social media sites (Twitter, Facebook, and Instagram) and with a referring link to a tobacco prevention website cited in these messages. We hypothesized that health messages might not receive the same user engagement on these media, although these messages were identical and distributed at the same time. Methods: We measured the effect of health promotion messages on the risk of smoking among users of three social media sites (Twitter, Facebook, and Instagram) and disseminated 1275 health messages between April 19 and July 12, 2017 (85 days). The identical messages were distributed at the same time and as organic (unpaid) and advertised (paid) messages, each including a link to an educational website with more information about the topic. Outcome measures included message engagement (ie, the click-through rate [CTR] of the social media messages) and educational website engagement (ie, the CTR on the educational website [wCTR]). To analyze the data and model relationships, we used mixed effects negative binomial regression, z-statistic, and the Hosmer-Lemeshow goodness-of-fit test. Results: Comparisons between social media sites showed that CTRs for identical antitobacco health messages differed significantly across social media (P

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Reuter, K., Wilson, M. L., Moran, M., Le, N. Q., Angyan, P., Majmundar, A., … Unger, J. B. (2021). General audience engagement with antismoking public health messages across multiple social media sites: Comparative analysis. JMIR Public Health and Surveillance, 7(2). https://doi.org/10.2196/24429

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