2013
DOI: 10.2196/jmir.2741
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An Exploration of Social Circles and Prescription Drug Abuse Through Twitter

Abstract: BackgroundPrescription drug abuse has become a major public health problem. Relationships and social context are important contributing factors. Social media provides online channels for people to build relationships that may influence attitudes and behaviors.ObjectiveTo determine whether people who show signs of prescription drug abuse connect online with others who reinforce this behavior, and to observe the conversation and engagement of these networks with regard to prescription drug abuse.MethodsTwitter s… Show more

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Cited by 143 publications
(135 citation statements)
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“…About 7.0% of posts about use (31/442) requested information about substances, suggesting that this population assigns some value to the knowledge base of their peers. A previous study identified prescription drug abusers on Twitter and found that persons in their social circles tended to discuss prescription drug abuse online, as well [17], providing further evidence of the influence from, and reinforcement of, online content.…”
Section: Discussionmentioning
confidence: 78%
“…About 7.0% of posts about use (31/442) requested information about substances, suggesting that this population assigns some value to the knowledge base of their peers. A previous study identified prescription drug abusers on Twitter and found that persons in their social circles tended to discuss prescription drug abuse online, as well [17], providing further evidence of the influence from, and reinforcement of, online content.…”
Section: Discussionmentioning
confidence: 78%
“…A large subset of the public health-related research using social media data, including our prior work in the domain, focuses on mining information (e.g., adverse drug reactions, medication abuse, and user sentiment) from posts mentioning medications (Korkontzelos et al, 2016;Hanson et al, 2013b;Nikfarjam et al, 2015). Typically, these and similar studies focus on information at the population level, but processing and deriving information from individual user posts poses significant challenges from the natural language processing (NLP) perspective.…”
Section: Introductionmentioning
confidence: 99%
“…Researchers attempt to overcome the noise and inaccuracies in the data by relying on large amounts of data. For example, Hanson et al (2013b;2013a) attempted to estimate the abuse of Adderall® using Twitter by detecting the total number of mentions of the medication. The authors did not attempt to assess if a mention represented personal intake or not.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have used Twitter content to explore such conditions as depression and suicide [22,23], electronic cigarette use [24,25], tobacco use [26,27], alcohol use [28], influenza [29][30][31], and substance abuse [32,33].…”
mentioning
confidence: 99%
“…Mental illness-related communities have developed on multiple social media platforms including Twitter, possibly due to the unique combination of anonymity and freedom to express opinions [32].…”
mentioning
confidence: 99%