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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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 |
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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 |