J. Med. Internet Res. - An exploration of social circles and prescription drug abuse through Twitter.

Tópicos

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Resumo

CKGROUND: Prescription 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.OBJECTIVE: To 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.METHODS: Twitter statuses mentioning prescription drugs were collected from November 2011 to November 2012. From this set, 25 Twitter users were selected who discussed topics indicative of prescription drug abuse. Social circles of 100 people were discovered around each of these Twitter users; the tweets of the Twitter users in these networks were collected and analyzed according to prescription drug abuse discussion and interaction with other users about the topic.RESULTS: From November 2011 to November 2012, 3,389,771 mentions of prescription drug terms were observed. For the 25 social circles (n=100 for each circle), on average 53.96% (SD 24.3) of the Twitter users used prescription drug terms at least once in their posts, and 37.76% (SD 20.8) mentioned another Twitter user by name in a post with a prescription drug term. Strong correlation was found between the kinds of drugs mentioned by the index user and his or her network (mean r=0.73), and between the amount of interaction about prescription drugs and a level of abusiveness shown by the network (r=0.85, P<.001).CONCLUSIONS: Twitter users who discuss prescription drug abuse online are surrounded by others who also discuss it-potentially reinforcing a negative behavior and social norm.

Resumo Limpo

ckground prescript drug abus becom major public health problem relationship social context import contribut factor social media provid onlin channel peopl build relationship may influenc attitud behaviorsobject determin whether peopl show sign prescript drug abus connect onlin other reinforc behavior observ convers engag network regard prescript drug abusemethod twitter status mention prescript drug collect novemb novemb set twitter user select discuss topic indic prescript drug abus social circl peopl discov around twitter user tweet twitter user network collect analyz accord prescript drug abus discuss interact user topicresult novemb novemb mention prescript drug term observ social circl n circl averag sd twitter user use prescript drug term least post sd mention anoth twitter user name post prescript drug term strong correl found kind drug mention index user network mean r amount interact prescript drug level abus shown network r pconclus twitter user discuss prescript drug abus onlin surround other also discuss itpotenti reinforc negat behavior social norm

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