Literature DB >> 26075917

Prevalence of Marijuana-Related Traffic on Twitter, 2012-2013: A Content Analysis.

Leah Thompson1,2, Frederick P Rivara1,3, Jennifer M Whitehill1,4.   

Abstract

This study assessed marijuana-related content posted by adolescents on Twitter and examined content variation before and after the 2012 U.S. election legalizing recreational use in two states. For two 3-week periods occurring 6 months before and after the election, a 1% random sample was obtained of all tweets matching a set of marijuana-related queries. Original content was separated from reposted content (retweets), and foreign language tweets and those not related to marijuana were excluded. Using a structured codebook, tweet content was categorized (e.g., mention of personal marijuana use, parents' views, perceived effects.) Self-reported age was extracted from tweet metadata when available. Chi-square tests were used to assess differences in content by whether the user self-identified as an adolescent and to compare content pre- versus post-election. The full sample consisted of 71,901 tweets. After excluding nonrelevant tweets and separating original tweets from retweets, the analytic sample included 36,969 original tweets. A majority (65.6%) of original tweets by adolescents (n=1,928) reflected a positive attitude toward marijuana, and 42.9% indicated personal use. Of adolescents' tweets that mentioned parents, 36.0% of tweets indicated parental support for the adolescent's marijuana use. Tweets about personal marijuana use increased from 2012 to 2013, as did positive perceptions about the drug. Adolescents and others on Twitter are exposed to positive discussion normalizing use. Over the study period, Twitter was increasingly used to disclose marijuana use.

Entities:  

Mesh:

Year:  2015        PMID: 26075917      PMCID: PMC4491148          DOI: 10.1089/cyber.2014.0620

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  33 in total

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Authors:  Harrison G Pope; Amanda J Gruber; James I Hudson; Geoffrey Cohane; Marilyn A Huestis; Deborah Yurgelun-Todd
Journal:  Drug Alcohol Depend       Date:  2003-04-01       Impact factor: 4.492

2.  Persistent cannabis users show neuropsychological decline from childhood to midlife.

Authors:  Madeline H Meier; Avshalom Caspi; Antony Ambler; HonaLee Harrington; Renate Houts; Richard S E Keefe; Kay McDonald; Aimee Ward; Richie Poulton; Terrie E Moffitt
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3.  Decomposing the components of friendship and friends' influence on adolescent drinking and smoking.

Authors:  Kayo Fujimoto; Thomas W Valente
Journal:  J Adolesc Health       Date:  2012-02-10       Impact factor: 5.012

4.  Perceived parent and peer marijuana norms: the moderating effect of parental monitoring during college.

Authors:  Lucy E Napper; Justin F Hummer; Taona P Chithambo; Joseph W LaBrie
Journal:  Prev Sci       Date:  2015-04

5.  Peer influence on marijuana use in different types of friendships.

Authors:  Joan S Tucker; Kayla de la Haye; David P Kennedy; Harold D Green; Michael S Pollard
Journal:  J Adolesc Health       Date:  2013-09-17       Impact factor: 5.012

6.  Chronic cannabinoid exposure produces lasting memory impairment and increased anxiety in adolescent but not adult rats.

Authors:  Melanie O'Shea; Malini E Singh; Iain S McGregor; Paul E Mallet
Journal:  J Psychopharmacol       Date:  2004-12       Impact factor: 4.153

7.  Online network influences on emerging adults' alcohol and drug use.

Authors:  Stephanie H Cook; José A Bauermeister; Deborah Gordon-Messer; Marc A Zimmerman
Journal:  J Youth Adolesc       Date:  2012-12-02

8.  Cross-lagged associations between substance use-related media exposure and alcohol use during middle school.

Authors:  Joan S Tucker; Jeremy N V Miles; Elizabeth J D'Amico
Journal:  J Adolesc Health       Date:  2013-06-14       Impact factor: 5.012

9.  Neurocognition in college-aged daily marijuana users.

Authors:  Mary P Becker; Paul F Collins; Monica Luciana
Journal:  J Clin Exp Neuropsychol       Date:  2014-03-12       Impact factor: 2.475

10.  An exploration of social circles and prescription drug abuse through Twitter.

Authors:  Carl Lee Hanson; Ben Cannon; Scott Burton; Christophe Giraud-Carrier
Journal:  J Med Internet Res       Date:  2013-09-06       Impact factor: 5.428

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  22 in total

1.  Mining Social Media Data for Biomedical Signals and Health-Related Behavior.

Authors:  Rion Brattig Correia; Ian B Wood; Johan Bollen; Luis M Rocha
Journal:  Annu Rev Biomed Data Sci       Date:  2020-05-04

2.  HARNESSING SOCIAL MEDIA FOR HEALTH INFORMATION MANAGEMENT.

Authors:  Lina Zhou; Dongsong Zhang; Chris Yang; Yu Wang
Journal:  Electron Commer Res Appl       Date:  2017-12-29       Impact factor: 6.014

3.  A content analysis of tweets about high-potency marijuana.

Authors:  Patricia A Cavazos-Rehg; Shaina J Sowles; Melissa J Krauss; Vivian Agbonavbare; Richard Grucza; Laura Bierut
Journal:  Drug Alcohol Depend       Date:  2016-07-04       Impact factor: 4.492

4.  Characterizing Blunt Use Among Twitter Users: Racial/Ethnic Differences in Use Patterns and Characteristics.

Authors:  LaTrice Montgomery; Kamonta Heidelburg; Cendrine Robinson
Journal:  Subst Use Misuse       Date:  2017-09-14       Impact factor: 2.164

5.  Perceptions of social norms and exposure to pro-marijuana messages are associated with adolescent marijuana use.

Authors:  Maria L Roditis; Kevin Delucchi; Audrey Chang; Bonnie Halpern-Felsher
Journal:  Prev Med       Date:  2016-10-14       Impact factor: 4.018

6.  "Retweet to Pass the Blunt": Analyzing Geographic and Content Features of Cannabis-Related Tweeting Across the United States.

Authors:  Raminta Daniulaityte; Francois R Lamy; G Alan Smith; Ramzi W Nahhas; Robert G Carlson; Krishnaprasad Thirunarayan; Silvia S Martins; Edward W Boyer; Amit Sheth
Journal:  J Stud Alcohol Drugs       Date:  2017-11       Impact factor: 2.582

7.  The Influence of Social Media on Addictive Behaviors in College Students.

Authors:  Mai-Ly N Steers; Megan A Moreno; Clayton Neighbors
Journal:  Curr Addict Rep       Date:  2016-10-12

8.  Detecting illicit opioid content on Twitter.

Authors:  Babak Tofighi; Yindalon Aphinyanaphongs; Christina Marini; Shouron Ghassemlou; Peyman Nayebvali; Isabel Metzger; Ananditha Raghunath; Shailin Thomas
Journal:  Drug Alcohol Rev       Date:  2020-03

9.  Cannabis Surveillance With Twitter Data: Emerging Topics and Social Bots.

Authors:  Jon-Patrick Allem; Patricia Escobedo; Likhit Dharmapuri
Journal:  Am J Public Health       Date:  2019-12-19       Impact factor: 9.308

10.  "When 'Bad' is 'Good'": Identifying Personal Communication and Sentiment in Drug-Related Tweets.

Authors:  Raminta Daniulaityte; Lu Chen; Francois R Lamy; Robert G Carlson; Krishnaprasad Thirunarayan; Amit Sheth
Journal:  JMIR Public Health Surveill       Date:  2016-10-24
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