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How is substance use portrayed in digital media and what impacts can it have?

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Title: How is substance use portrayed in digital media and what impacts can it have?
Authors: Riordan, Benjamin (AUTHOR), Scarf, Damian (AUTHOR), Merrill, Jennifer E. (AUTHOR), Lim, Megan S. C. (AUTHOR), Kuntsche, Emmanuel (AUTHOR)
Source: Drug & Alcohol Review. Jan2024, Vol. 43 Issue 1, p5-8. 4p.
Subjects: Digital media, Substance abuse, Drinking behavior, Social media, Media exposure, Social learning theory
Abstract: This article examines the portrayal of substance use in digital media and its potential effects. The study reveals that posts about alcohol, e-cigarettes, cannabis, and tobacco tend to be positive, while posts about opiates are more negative. The research suggests that exposure to positive substance-related posts on social media may contribute to the perception that substance use is common and acceptable. The article also discusses the connection between self-reported exposure to substance use on social media and actual substance use, as well as the implications for policy and prevention. The authors recommend further research using new methods, such as machine learning, to better understand how substances are discussed on social media and to evaluate the effectiveness of prevention campaigns. They also emphasize the importance of critically evaluating digital media use to avoid being influenced by substance-related content. [Extracted from the article]
Copyright of Drug & Alcohol Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: How is substance use portrayed in digital media and what impacts can it have?
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  Data: <searchLink fieldCode="DE" term="%22Digital+media%22">Digital media</searchLink><br /><searchLink fieldCode="DE" term="%22Substance+abuse%22">Substance abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Drinking+behavior%22">Drinking behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Media+exposure%22">Media exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Social+learning+theory%22">Social learning theory</searchLink>
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  Data: This article examines the portrayal of substance use in digital media and its potential effects. The study reveals that posts about alcohol, e-cigarettes, cannabis, and tobacco tend to be positive, while posts about opiates are more negative. The research suggests that exposure to positive substance-related posts on social media may contribute to the perception that substance use is common and acceptable. The article also discusses the connection between self-reported exposure to substance use on social media and actual substance use, as well as the implications for policy and prevention. The authors recommend further research using new methods, such as machine learning, to better understand how substances are discussed on social media and to evaluate the effectiveness of prevention campaigns. They also emphasize the importance of critically evaluating digital media use to avoid being influenced by substance-related content. [Extracted from the article]
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  Data: <i>Copyright of Drug & Alcohol Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jan2024
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