2015
DOI: 10.1016/j.jadohealth.2014.10.270
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Twitter Chatter About Marijuana

Abstract: Purpose-We sought to examine the sentiment and themes of marijuana-related chatter on Twitter sent by influential Twitter users, and to describe the demographics of these Twitter users.Methods-We assessed the sentiment and themes of a random sample (n=7000) of influential marijuana-related Tweets (sent from 2/5 -3/5/2014). Demographics of the users Tweeting about marijuana were inferred using a social media analytics company (DemographicsPro for Twitter).Results-Most marijuana-related tweets reflected a positi… Show more

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Cited by 162 publications
(199 citation statements)
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“…33 Experimenting with e-cigarettes might also increase a youth's curiosity about marijuana, reduce perceived harm of marijuana use, and increase the social access to marijuana from peers and friends. As a result of marketing and social media promotion, 34,35 vaping cannabis is gaining popularity. 19,20 Youth who experiment with e-cigarettes may use the same device or switch to newer generation devices for vaping marijuana, 20,36 which could lead to use of substance with stronger addictive effects.…”
Section: Discussionmentioning
confidence: 99%
“…33 Experimenting with e-cigarettes might also increase a youth's curiosity about marijuana, reduce perceived harm of marijuana use, and increase the social access to marijuana from peers and friends. As a result of marketing and social media promotion, 34,35 vaping cannabis is gaining popularity. 19,20 Youth who experiment with e-cigarettes may use the same device or switch to newer generation devices for vaping marijuana, 20,36 which could lead to use of substance with stronger addictive effects.…”
Section: Discussionmentioning
confidence: 99%
“…However, 57% of the studies (n = 8) lacked demographic filters and indicators due to privacy restrictions, presenting issues of sampling bias and limiting generalizability. 56,57,[61][62][63][64]67,68 Convenient small samples also limited generalizability. 60,68,69 Hanson et al 65 noted their inability to observe actual behavior made it impossible to determine which public tweets corresponded with actual illicit drug use.…”
Section: Journal Of Public Healthmentioning
confidence: 99%
“…60 Five studies analyzed data from Twitter. 57,[63][64][65][66] Other SNSs that were analyzed included Facebook and LiveJournal. …”
mentioning
confidence: 99%
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