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

Objectives A growing body of health communication scholarship has explored the utility of social media platforms for eliciting social support, although much of this scholarship has focused on Facebook and Twitter . This study contributes to this body of research by identifying support in comments su...

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Main Author: Brent J Hale
Format: Article
Language:English
Published: SAGE Publishing 2019-10-01
Series:Digital Health
Online Access:https://doi.org/10.1177/2055207619890476
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spelling doaj-59a6cef9f67c4142802f048da41be91c2020-11-25T03:31:08ZengSAGE PublishingDigital Health2055-20762019-10-01510.1177/2055207619890476Responding to depression-related Imgur posts: A content analysis of social support and non-bona fide features in user-generated commentsBrent J HaleObjectives A growing body of health communication scholarship has explored the utility of social media platforms for eliciting social support, although much of this scholarship has focused on Facebook and Twitter . This study contributes to this body of research by identifying support in comments submitted to depression-related Imgur posts. Furthermore, the use of non-bona fide linguistic features (e.g. humor, sarcasm, and irony) is documented for comparison with supportive elements. Methods A content analysis was performed of 1530 comments submitted in response to 20 popular Imgur posts about depression, including the emergence of four social support types outlined by the Multi-Dimensional Support Scale—reassuring, empathic, informational, and tangible support—as well as non-bona fide features. Results Findings suggest a supportive discourse, with nearly 60% of comments containing some supportive element. Reassuring and informational support emerged most prominently (26.3% and 26.2% of comments, respectively), followed by empathic (22.9%) and tangible (0.3%) support types. Non-bona fide features manifested in 28.8% of comments. Results indicate significant covariation between non-bona fide features and support, as these infrequently co-occurred. Conclusions This study’s findings suggest that depression-related messages frequently receive support from Imgur commenters, especially reassuring and informational support. Additionally, this study provides a conceptual framework for future analyses of online social support by integrating non-bona fide communication with established support types. The results of this study could have implications for health professionals and scholars interested in the use of social media platforms such as Imgur , which serves a predominantly young male demographic, for support provision.https://doi.org/10.1177/2055207619890476
collection DOAJ
language English
format Article
sources DOAJ
author Brent J Hale
spellingShingle Brent J Hale
Responding to depression-related Imgur posts: A content analysis of social support and non-bona fide features in user-generated comments
Digital Health
author_facet Brent J Hale
author_sort Brent J Hale
title Responding to depression-related Imgur posts: A content analysis of social support and non-bona fide features in user-generated comments
title_short Responding to depression-related Imgur posts: A content analysis of social support and non-bona fide features in user-generated comments
title_full Responding to depression-related Imgur posts: A content analysis of social support and non-bona fide features in user-generated comments
title_fullStr Responding to depression-related Imgur posts: A content analysis of social support and non-bona fide features in user-generated comments
title_full_unstemmed Responding to depression-related Imgur posts: A content analysis of social support and non-bona fide features in user-generated comments
title_sort responding to depression-related imgur posts: a content analysis of social support and non-bona fide features in user-generated comments
publisher SAGE Publishing
series Digital Health
issn 2055-2076
publishDate 2019-10-01
description Objectives A growing body of health communication scholarship has explored the utility of social media platforms for eliciting social support, although much of this scholarship has focused on Facebook and Twitter . This study contributes to this body of research by identifying support in comments submitted to depression-related Imgur posts. Furthermore, the use of non-bona fide linguistic features (e.g. humor, sarcasm, and irony) is documented for comparison with supportive elements. Methods A content analysis was performed of 1530 comments submitted in response to 20 popular Imgur posts about depression, including the emergence of four social support types outlined by the Multi-Dimensional Support Scale—reassuring, empathic, informational, and tangible support—as well as non-bona fide features. Results Findings suggest a supportive discourse, with nearly 60% of comments containing some supportive element. Reassuring and informational support emerged most prominently (26.3% and 26.2% of comments, respectively), followed by empathic (22.9%) and tangible (0.3%) support types. Non-bona fide features manifested in 28.8% of comments. Results indicate significant covariation between non-bona fide features and support, as these infrequently co-occurred. Conclusions This study’s findings suggest that depression-related messages frequently receive support from Imgur commenters, especially reassuring and informational support. Additionally, this study provides a conceptual framework for future analyses of online social support by integrating non-bona fide communication with established support types. The results of this study could have implications for health professionals and scholars interested in the use of social media platforms such as Imgur , which serves a predominantly young male demographic, for support provision.
url https://doi.org/10.1177/2055207619890476
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