School of Management, Harbin Institute of Technology, Harbin 150001, China.
Int J Environ Res Public Health. 2020 Jul 13;17(14):5023. doi: 10.3390/ijerph17145023.
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.
在线社区已成为研究人员了解和帮助抑郁症患者的一种工具。根据其管理方面的运作模式，社区可分为管理型抑郁症社区（MDC）和非管理型抑郁症社区（LDC）。本研究旨在调查 LDC 与 MDC 的特点和影响。从 LDC 和 MDC 收集了前一年的所有帖子。提取并编码关键词以确定主题，并构建文本分类器以识别帖子中表达的情绪和社会支持类型。然后对社区成员进行聚类，以探索他们不同的参与模式。我们发现，在 LDC 中，表达负面情绪是最受欢迎的主题，缺乏有关抑郁症治疗的信息和缺乏社会支持提供者，提供者的参与度较低，寻求支持的人没有得到关注。这些结果揭示了社区管理的必要性，并可用于制定更有效的措施来支持在线抑郁症社区的成员。
