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

Overview

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.

publication date

  • June 26, 2020

Research

keywords

  • Betacoronavirus
  • Cannabis
  • Coronavirus Infections
  • Pandemics
  • Pneumonia, Viral
  • Social Media
  • Substance-Related Disorders

Identity

PubMed Central ID

  • PMC7337407

Scopus Document Identifier

  • 85087408440

Digital Object Identifier (DOI)

  • 10.3233/SHTI200479

PubMed ID

  • 32604586

Additional Document Info

volume

  • 272