ArticleInternational journal of environmental research and public health2020
A Comparative Study of Online Depression Communities in China.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Do Informational and Emotional Elements Differ between Online Psychological and Physiological Disease Communities in China? A Comparative Study of Depression and Diabetes.International journal of environmental research and public health · 2022Article
- Characteristics of High Suicide Risk Messages From Users of a Social Network-Sina Weibo "Tree Hole".Frontiers in psychiatry · 2022Article
- Emotional Contagion in the Online Depression Community.Healthcare (Basel, Switzerland) · 2021Article
- What Happens When People with Depression Gather Online?International journal of environmental research and public health · 2021Article
- Exploring the Online Behavior of Users of Online Depression-Focused Communities: Comparing Communities with Different Management Types.Psychology research and behavior management · 2021Article
- Heterogeneous Influences of Social Support on Physical and Mental Health: Evidence from China.International journal of environmental research and public health · 2020Article
- "No man is an island": How Chinese netizens use deliberate metaphors to provide "depression sufferers" with social support.Digital healthArticle
- How depression self-disclosure shapes engagement and discourse on Chinese social media.Digital healthArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Online communities have become a tool for researchers to understand and help individuals with depression. According to their operation mode in terms of management, communities can be divided into management depression communities (MDCs) and lacking-management depression communities (LDCs). This study aimed to investigate the characteristics and impact of LDCs in comparison with MDCs. All postings from the previous year were collected from the LDC and MDC. Keywords were extracted and coded to identify the themes, and a text classifier was built to identify the type of emotions and social support expressed in the postings. Community members were then clustered to explore their different participation patterns. We found that in the LDC, the expression of negative emotions was the most popular theme, there was a lack of information about the treatment of depression and a lack of social support providers, the level of engagement of providers was low, and support seekers did not receive attention. These results reveal the need for community management and can be used to develop more effective measures to support members of online depression communities.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.