Cargando…

Emotional Contagion in the Online Depression Community

Negative emotions are prevalent in the online depression community (ODC), which potentially puts members at risk, according to the theory of emotional contagion. However, emotional contagion in the ODC has not been confirmed. The generalized estimating equation (GEE) was used to verify the extent of...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Jingyun, Yu, Guang, Yao, Xiaoxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700837/
https://www.ncbi.nlm.nih.gov/pubmed/34946335
http://dx.doi.org/10.3390/healthcare9121609
_version_ 1784620854228811776
author Tang, Jingyun
Yu, Guang
Yao, Xiaoxu
author_facet Tang, Jingyun
Yu, Guang
Yao, Xiaoxu
author_sort Tang, Jingyun
collection PubMed
description Negative emotions are prevalent in the online depression community (ODC), which potentially puts members at risk, according to the theory of emotional contagion. However, emotional contagion in the ODC has not been confirmed. The generalized estimating equation (GEE) was used to verify the extent of emotional contagion using data from 1548 sample users in China’s popular ODC. During interaction, the emotional themes were analyzed according to language use. The diurnal patterns of the interaction behaviors were also analyzed. We identified the susceptible groups and analyzed their characteristics. The results confirmed the occurrence of emotional contagion in ODC, that is, the extent to which the user’s emotion was affected by the received emotion. Our study also found that when positive emotional contagion occurred, the replies contained more hopefulness, and when negative emotional contagion occurred, the replies contained more hopelessness and fear. Second, positive emotions were easier to spread, and people with higher activity in ODC were more susceptible. In addition, nighttime was an active period for user interaction. The results can help community managers and support groups take measures to promote the spread of positive emotions and reduce the spread of negative emotions.
format Online
Article
Text
id pubmed-8700837
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-87008372021-12-24 Emotional Contagion in the Online Depression Community Tang, Jingyun Yu, Guang Yao, Xiaoxu Healthcare (Basel) Article Negative emotions are prevalent in the online depression community (ODC), which potentially puts members at risk, according to the theory of emotional contagion. However, emotional contagion in the ODC has not been confirmed. The generalized estimating equation (GEE) was used to verify the extent of emotional contagion using data from 1548 sample users in China’s popular ODC. During interaction, the emotional themes were analyzed according to language use. The diurnal patterns of the interaction behaviors were also analyzed. We identified the susceptible groups and analyzed their characteristics. The results confirmed the occurrence of emotional contagion in ODC, that is, the extent to which the user’s emotion was affected by the received emotion. Our study also found that when positive emotional contagion occurred, the replies contained more hopefulness, and when negative emotional contagion occurred, the replies contained more hopelessness and fear. Second, positive emotions were easier to spread, and people with higher activity in ODC were more susceptible. In addition, nighttime was an active period for user interaction. The results can help community managers and support groups take measures to promote the spread of positive emotions and reduce the spread of negative emotions. MDPI 2021-11-23 /pmc/articles/PMC8700837/ /pubmed/34946335 http://dx.doi.org/10.3390/healthcare9121609 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tang, Jingyun
Yu, Guang
Yao, Xiaoxu
Emotional Contagion in the Online Depression Community
title Emotional Contagion in the Online Depression Community
title_full Emotional Contagion in the Online Depression Community
title_fullStr Emotional Contagion in the Online Depression Community
title_full_unstemmed Emotional Contagion in the Online Depression Community
title_short Emotional Contagion in the Online Depression Community
title_sort emotional contagion in the online depression community
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700837/
https://www.ncbi.nlm.nih.gov/pubmed/34946335
http://dx.doi.org/10.3390/healthcare9121609
work_keys_str_mv AT tangjingyun emotionalcontagionintheonlinedepressioncommunity
AT yuguang emotionalcontagionintheonlinedepressioncommunity
AT yaoxiaoxu emotionalcontagionintheonlinedepressioncommunity