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The Canary in the Coal Mine Tweets: Social Media Reveals Public Perceptions of Non-Medical Use of Opioids

Overview of attention for article published in PLOS ONE, August 2015
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Title
The Canary in the Coal Mine Tweets: Social Media Reveals Public Perceptions of Non-Medical Use of Opioids
Published in
PLOS ONE, August 2015
DOI 10.1371/journal.pone.0135072
Pubmed ID
Authors

Brian Chan, Andrea Lopez, Urmimala Sarkar

Abstract

Non-medical prescription opioid use is a growing public health concern. Social media is an emerging tool to understand health attitudes, beliefs, and behaviors. We retrieved a sample of publicly available Twitter messages in early 2014, using common opioid medication names and slang search terms. We used content analysis to code messages by user, context of message (personal vs general experiences), and key content themes. We reviewed 540 messages, of which 375 (69%) messages were related to opioid behaviors. Of these, 316 (84%) originated from individual user accounts; 125 messages expressed personal experience with opioids. The majority of personal messages referenced using opioids to obtain a "high", use for sleep, or other non-intended use (87,70%). General attitudes regarding opioid use included positive sentiment (52, 27%), comments on others peoples opioid use (57, 30%), and messages containing public health information or links (48, 25%). In a sample of social media messages mentioning opioid medications, the most common theme amongst English users related to various forms of opioid misuse. Social media can provide insights into the types of misuse of opioids that might aid public health efforts to reduce non-medical opioid use.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Unknown 97 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 19%
Student > Ph. D. Student 12 12%
Researcher 10 10%
Student > Doctoral Student 8 8%
Student > Bachelor 5 5%
Other 20 20%
Unknown 24 24%
Readers by discipline Count As %
Medicine and Dentistry 19 19%
Social Sciences 12 12%
Computer Science 8 8%
Nursing and Health Professions 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 20 20%
Unknown 30 31%