Literature DB >> 23786172

Health organizations providing and seeking social support: a Twitter-based content analysis.

Jian Raymond Rui1, Yixin Chen, Amanda Damiano.   

Abstract

Providing and seeking social support are important aspects of social exchange. New communication technologies, especially social network sites (SNSs), facilitate the process of support exchange. An increasing number of health organizations are using SNSs. However, how they provide and seek social support via SNSs has yet to garner academic attention. This study examined the types of social support provided and sought by health organizations on Twitter. A content analysis was conducted on 1,500 tweets sent by a random sample of 58 health organizations within 2 months. Findings indicate that providing informational and emotional support, as well as seeking instrumental support, were the main types of social support exchanged by health organizations through Twitter. This study provides a typology for studying social support exchanges by health organizations, and recommends strategies for health organizations regarding the effective use of Twitter.

Mesh:

Year:  2013        PMID: 23786172     DOI: 10.1089/cyber.2012.0350

Source DB:  PubMed          Journal:  Cyberpsychol Behav Soc Netw        ISSN: 2152-2715


  6 in total

Review 1.  A Twitter Education: Why Psychiatrists Should Tweet.

Authors:  Matthew E Peters; Elisabeth Uible; Margaret S Chisolm
Journal:  Curr Psychiatry Rep       Date:  2015-12       Impact factor: 5.285

2.  What triggers online help-seeking retransmission during the COVID-19 period? Empirical evidence from Chinese social media.

Authors:  Chen Luo; Yuru Li; Anfan Chen; Yulong Tang
Journal:  PLoS One       Date:  2020-11-03       Impact factor: 3.240

3.  External Support for Elderly Care Social Enterprises in China: A Government-Society-Family Framework of Analysis.

Authors:  Huimin Li; Jianyuan Huang; Jiayun Liu
Journal:  Int J Environ Res Public Health       Date:  2022-07-06       Impact factor: 4.614

Review 4.  Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds.

Authors:  Eradah O Hamad; Marie Y Savundranayagam; Jeffrey D Holmes; Elizabeth Anne Kinsella; Andrew M Johnson
Journal:  J Med Internet Res       Date:  2016-03-08       Impact factor: 5.428

5.  The rate of reply and nature of responses to suicide-related posts on Twitter.

Authors:  Bridianne O'Dea; Melinda R Achilles; Mark E Larsen; Philip J Batterham; Alison L Calear; Helen Christensen
Journal:  Internet Interv       Date:  2018-07-19

6.  Responding to depression-related Imgur posts: A content analysis of social support and non-bona fide features in user-generated comments.

Authors:  Brent J Hale
Journal:  Digit Health       Date:  2019-11-20
  6 in total

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