Literature DB >> 32604586

Application of Social Network Analysis of COVID-19 Related Tweets Mentioning Cannabis and Opioids to Gain Insights for Drug Abuse Research.

Sunmoo Yoon1, Michelle Odlum2, Peter Broadwell3, Nicole Davis4, Hwayoug Cho5, Nanyi Deng6, Maria Patrao7, Deborah Schauer, Michael E Bales8, Carmela Alcantara9.   

Abstract

We applied social network analysis (SNA) to Tweets mentioning cannabis or opioid-related terms to publicly available COVID-19 related Tweets collected from Jan 21st to May 3rd, 2020 (n= 2,558,474 Tweets). We randomly extracted 16,154 Tweets mentioning cannabis and 4,670 Tweets mentioning opioids from the COVID-19 Tweet corpora for our analysis. The cannabis related Tweets created by 6,144 users were disseminated to 280,042,783 users and retweeted 11 times the number of original messages while opioid-related Tweets created by 3,412 users were disseminated to smaller number of users. The opioids Twitter network showed more cohesive online group activities and a cleaner online environment with less disinformation. The cannabis Twitter network showed a less desirable online environment with more disinformation (false information to mislead the public) and stakeholders lacking strong science knowledge. Application of SNA to Tweets provides insights for future online-based drug abuse research during the outbreak.

Entities:  

Keywords:  cannabis; drug abuse; opioids; pandemic; social media

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Substances:

Year:  2020        PMID: 32604586      PMCID: PMC7337407          DOI: 10.3233/SHTI200479

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Methods of knowledge discovery in tweets.

Authors:  Sunmoo Yoon; Suzanne Bakken
Journal:  NI 2012 (2012)       Date:  2012-06-23
  1 in total

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