2019
DOI: 10.2196/12676
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Tobacco Use Behaviors, Attitudes, and Demographic Characteristics of Tobacco Opinion Leaders and Their Followers: Twitter Analysis

Abstract: BackgroundTobacco-related content on social media is generated and propagated by opinion leaders on the Web who disseminate messages to others in their network, including followers, who then continue to spread the information. Opinion leaders can exert powerful influences on their followers’ knowledge, attitudes, and behaviors; yet, little is known about the demographic characteristics and tobacco use behavior of tobacco opinion leaders on the Web and their followers, compared with general Twitter users.Object… Show more

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Cited by 21 publications
(11 citation statements)
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“…However, according to the individual's own habits, alienation, and the influence of neighboring nodes, the opinions of conformity are different. Moreover, people tend to be more amenable to the opinions of individuals who are more authoritative than they are; that is idea of the opinion leader [34,35]. For example, the words of close friends are more persuasive than those of a stranger.…”
Section: A Polarization Model Combining Individual Dynamic Conformitymentioning
confidence: 99%
“…However, according to the individual's own habits, alienation, and the influence of neighboring nodes, the opinions of conformity are different. Moreover, people tend to be more amenable to the opinions of individuals who are more authoritative than they are; that is idea of the opinion leader [34,35]. For example, the words of close friends are more persuasive than those of a stranger.…”
Section: A Polarization Model Combining Individual Dynamic Conformitymentioning
confidence: 99%
“…Typically, influencers are identified using arbitrary cut-offs for the number of followers. However, our social network theory-grounded findings here and elsewhere [36,38] suggest that influence goes beyond just counting to involve the networks of socially influential users. Therefore, using increasingly accessible tools, public health professionals can use real-time interactions on Twitter and potentially other social media channels to identify unique users.…”
Section: Discussionmentioning
confidence: 57%
“…This information is important to not only understand the breadth of communication challenges, but also their depth and unique causes that may be consequential for the efficient and accurate dissemination and uptake of scientific information [34,35]. Second, by using SNA, we and others are able to make visible the invisible social influence on social media that is not reflected in more traditional social media metrics [36][37][38]. Typically, influencers are identified using arbitrary cut-offs for the number of followers.…”
Section: Discussionmentioning
confidence: 99%
“…Influencers promoting tobacco products can potentially affect their followers’ attitudes and use of tobacco products. Followers of tobacco influencers are more likely to be an especially vulnerable group because they tend to be younger, have lower education, and are more likely to report past month tobacco use than those who do not follow tobacco influencers [ 20 ]. The positive association between exposure and engagement with tobacco-related social media content and tobacco use among youth warrants investigation into the prevalence of tobacco-related influencer promotions on social media [ 21 ].…”
Section: Introductionmentioning
confidence: 99%