Literature DB >> 32096449

Linguistic Predictors of Problematic Drinking in Alcohol-related Facebook Posts.

Lyn M van Swol1, Chen-Ting Chang1, Bradley Kerr2, Megan Moreno2.   

Abstract

Emerging adults often increase problematic drinking during college. Although they generally do not seek help for problematic drinking, college students discuss their drinking on social media. This study followed college students' Facebook profiles from the inception of their attendance at a university and identified alcohol-related posts. Within 28 days of their first alcohol-related Facebook post, participants were interviewed to assess problematic drinking (binge drinking episodes and number of drinks). Linguistic analysis of alcohol-related Facebook posts found that use of negative emotion language and swear words were related to problematic drinking, in support of proposed hypotheses. Results are situated within alcohol use disorder and health research examining the link between problematic drinking and anxiety, deviant behavior, and negative emotions.

Entities:  

Mesh:

Year:  2020        PMID: 32096449      PMCID: PMC7654720          DOI: 10.1080/10810730.2020.1731632

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  58 in total

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Authors:  Megan A Moreno; Leslie R Briner; Amanda Williams; Libby Brockman; Leslie Walker; Dimitri A Christakis
Journal:  J Adolesc Health       Date:  2010-03-20       Impact factor: 5.012

9.  Norms of online expressions of emotion: Comparing Facebook, Twitter, Instagram, and WhatsApp.

Authors:  Sophie F Waterloo; Susanne E Baumgartner; Jochen Peter; Patti M Valkenburg
Journal:  New Media Soc       Date:  2017-05-23

10.  Examining co-patterns of depression and alcohol misuse in emerging adults following university graduation.

Authors:  Jona R Frohlich; Karli K Rapinda; Roisin M O'Connor; Matthew T Keough
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  2 in total

1.  Using Facebook language to predict and describe excessive alcohol use.

Authors:  Rupa Jose; Matthew Matero; Garrick Sherman; Brenda Curtis; Salvatore Giorgi; Hansen Andrew Schwartz; Lyle H Ungar
Journal:  Alcohol Clin Exp Res       Date:  2022-05-16       Impact factor: 3.928

2.  Determining the prevalence of cannabis, tobacco, and vaping device mentions in online communities using natural language processing.

Authors:  Mengke Hu; Ryzen Benson; Annie T Chen; Shu-Hong Zhu; Mike Conway
Journal:  Drug Alcohol Depend       Date:  2021-09-06       Impact factor: 4.492

  2 in total

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