Literature DB >> 26392678

A content analysis of depression-related Tweets.

Patricia A Cavazos-Rehg1, Melissa J Krauss1, Shaina Sowles1, Sarah Connolly1, Carlos Rosas1, Meghana Bharadwaj1, Laura J Bierut1.   

Abstract

This study examines depression-related chatter on Twitter to glean insight into social networking about mental health. We assessed themes of a random sample (n=2,000) of depression-related tweets (sent 4-11 to 5-4-14). Tweets were coded for expression of DSM-5 symptoms for Major Depressive Disorder (MDD). Supportive or helpful tweets about depression was the most common theme (n=787, 40%), closely followed by disclosing feelings of depression (n=625; 32%). Two-thirds of tweets revealed one or more symptoms for the diagnosis of MDD and/or communicated thoughts or ideas that were consistent with struggles with depression after accounting for tweets that mentioned depression trivially. Health professionals can use our findings to tailor and target prevention and awareness messages to those Twitter users in need.

Entities:  

Keywords:  Social media; depression

Year:  2016        PMID: 26392678      PMCID: PMC4574287          DOI: 10.1016/j.chb.2015.08.023

Source DB:  PubMed          Journal:  Comput Human Behav        ISSN: 0747-5632


  20 in total

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  31 in total

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Review 7.  Adapting Evidence-Based Treatments for Digital Technologies: a Critical Review of Functions, Tools, and the Use of Branded Solutions.

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8.  A content analysis of an online pro-eating disorder community on Reddit.

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9.  Examining Thematic Similarity, Difference, and Membership in Three Online Mental Health Communities from Reddit: A Text Mining and Visualization Approach.

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10.  Twitter Users' Views on Mental Health Crisis Resolution Team Care Compared With Stakeholder Interviews and Focus Groups: Qualitative Analysis.

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