Literature DB >> 28723265

A text-mining analysis of the public's reactions to the opioid crisis.

Elizabeth M Glowacki1,2, Joseph B Glowacki3, Gary B Wilcox1,4.   

Abstract

BACKGROUND: Opioid abuse has become an epidemic in the United States. On August 25, 2016, the former Surgeon General of the United States sent an open letter to care providers asking for their help with combatting this growing health crisis. Social media forums like Twitter allow for open discussions among the public and up-to-date exchanges of information about timely topics like opioids. Therefore, the goal of the current study is to identify the public's reactions to the opioid epidemic by identifying the most popular topics tweeted by users.
METHODS: We used a text-miner, algorithmic-driven statistical program to capture 73,235 original tweets and retweets posted within a two-month time span (August 15, 2016 through October 15, 2016). All tweets contained references to "opioids," "turnthetide," or similar keywords. We then analyzed the sets of tweets to identify the most prevalent topics.
RESULTS: The most discussed topics had to do with public figures addressing opioid abuse, creating better treatment options for teen addicts, using marijuana as an alternative for managing pain, holding foreign and domestic drug makers accountable for the epidemic, promoting the "Rx for Change" campaign, addressing double-standards in the perceptions and treatment of Black and White opioid users, and advertising opioid recovery programs.
CONCLUSIONS: Twitter allows users to find current information, voice their concerns, and share calls for action in response to the opioid epidemic. Monitoring the conversations about opioids that are taking place on social media forums like Twitter can help public health officials and care providers better understand how the public is responding to this health crisis.

Entities:  

Keywords:  Opioids; Twitter; health messaging; social media; text analytics

Mesh:

Year:  2017        PMID: 28723265     DOI: 10.1080/08897077.2017.1356795

Source DB:  PubMed          Journal:  Subst Abus        ISSN: 0889-7077            Impact factor:   3.716


  7 in total

1.  Opioid Discussion in the Twittersphere.

Authors:  Rachel L Graves; Christopher Tufts; Zachary F Meisel; Dan Polsky; Lyle Ungar; Raina M Merchant
Journal:  Subst Use Misuse       Date:  2018-04-16       Impact factor: 2.164

2.  Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data.

Authors:  Mike Conway; Mengke Hu; Wendy W Chapman
Journal:  Yearb Med Inform       Date:  2019-08-16

Review 3.  Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review.

Authors:  Tavleen Singh; Kirk Roberts; Trevor Cohen; Nathan Cobb; Jing Wang; Kayo Fujimoto; Sahiti Myneni
Journal:  JMIR Public Health Surveill       Date:  2020-11-30

4.  Service quality in football tourism: an evaluation model based on online reviews and data envelopment analysis with linguistic distribution assessments.

Authors:  Adjei Peter Darko; Decui Liang; Yinrunjie Zhang; Agbodah Kobina
Journal:  Ann Oper Res       Date:  2022-09-22       Impact factor: 4.820

5.  Using Twitter to Surveil the Opioid Epidemic in North Carolina: An Exploratory Study.

Authors:  Mohd Anwar; Dalia Khoury; Arnie P Aldridge; Stephanie J Parker; Kevin P Conway
Journal:  JMIR Public Health Surveill       Date:  2020-06-24

6.  Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis.

Authors:  Tareq Nasralah; Omar El-Gayar; Yong Wang
Journal:  J Med Internet Res       Date:  2020-08-13       Impact factor: 5.428

7.  What About Drug Checking? Systematic Review and Netnographic Analysis of Social Media.

Authors:  Amira Guirguis; Isma Moosa; Rosalind Gittins; Fabrizio Schifano
Journal:  Curr Neuropharmacol       Date:  2020       Impact factor: 7.363

  7 in total

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