Communication about childhood obesity on Twitter

Little is known about the use of social media as a tool for health communication. We used a mixed-methods design to examine communication about childhood obesity on Twitter. NodeXL was used to collect tweets sent in June 2013 containing the hashtag #childhoodobesity. Tweets were coded for content; t...

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Bibliographic Details
Published in:American journal of public health (1971) Vol. 104; no. 7; pp. e62 - e69
Main Authors: Harris, Jenine K, Moreland-Russell, Sarah, Tabak, Rachel G, Ruhr, Lindsay R, Maier, Ryan C
Format: Journal Article
Language:English
Published: United States American Public Health Association 01-07-2014
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Summary:Little is known about the use of social media as a tool for health communication. We used a mixed-methods design to examine communication about childhood obesity on Twitter. NodeXL was used to collect tweets sent in June 2013 containing the hashtag #childhoodobesity. Tweets were coded for content; tweeters were classified by sector and health focus. Data were also collected on the network of follower connections among the tweeters. We used descriptive statistics and exponential random graph modeling to examine tweet content, characteristics of tweeters, and the composition and structure of the network of connections facilitating communication among tweeters. We collected 1110 tweets originating from 576 unique Twitter users. More individuals (65.6%) than organizations (32.9%) tweeted. More tweets focused on individual behavior than environment or policy. Few government and educational tweeters were in the network, but they were more likely than private individuals to be followed by others. There is an opportunity to better disseminate evidence-based information to a broad audience through Twitter by increasing the presence of credible sources in the #childhoodobesity conversation and focusing the content of tweets on scientific evidence.
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Peer Reviewed
J. K. Harris conceptualized the article; led data collection, management, and analysis; and wrote and edited drafts of the article. S. Moreland-Russell and R. G. Tabak participated in data coding, analysis, and the writing and editing of the article. L. R. Ruhr and R. C. Maier participated in data coding and in the writing and editing of the article.
Contributors
ISSN:0090-0036
1541-0048
DOI:10.2105/AJPH.2013.301860