Participant behavior and community response in online mental health communities: Insights from Reddit

IF 8.9 1区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Computers in Human Behavior Pub Date : 2025-04-01 Epub Date: 2024-12-24 DOI:10.1016/j.chb.2024.108544
Virginia Morini , Maria Sansoni , Giulio Rossetti , Dino Pedreschi , Carlos Castillo
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Abstract

The growing presence of online mutual-help communities has significantly changed how people access and provide mental health (MH) support. While extensive research has explored self-disclosure and social support dynamics within these communities, less is known about users’ distinctive behavioral patterns, posting intents, and community response. This study analyzed a large-scale, five-year Reddit dataset of 67 MH-related subreddits, comprising over 3.4 million posts and 24 million comments from approximately 2.4 million users. We categorized subreddits based on the Diagnostic and Statistical Manual of Mental Disorders and compared the behavioral patterns in these communities with Reddit non-MH ones. Leveraging Reddit’s post flair feature, we defined a ground truth for post intents and applied an automated classification method to infer intents across the dataset. We then used causal inference analysis to assess the effect of community responses on subsequent user behavior. Our analysis revealed that MH-related subreddits featured unique characteristics in content length, throwaway account usage, user actions, persistence, and community response. These online behaviors mirrored those in other mutual-help Reddit communities and resonated with offline patterns while diverging from non-support-oriented subreddits. We also found that seeking support and venting are the predominant posting intents, with users tending to maintain consistent intents over time. Furthermore, we observed that receiving comments and reactions significantly influenced users’ follow-up engagement, fostering increased participation. These findings highlight the supportive role of online MH communities and emphasize the need for tailored design to optimize user experience and support for individuals facing MH challenges.
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在线心理健康社区的参与者行为和社区反应:来自Reddit的见解
越来越多的在线互助社区极大地改变了人们获取和提供精神卫生支持的方式。虽然广泛的研究已经探索了这些社区中的自我表露和社会支持动态,但对用户独特的行为模式、发帖意图和社区反应知之甚少。这项研究分析了一个大规模的、为期五年的Reddit数据集,其中包括67个与mh相关的子Reddit,包括来自大约240万用户的340多万篇帖子和2400万条评论。我们根据《精神疾病诊断与统计手册》对子Reddit进行分类,并将这些社区的行为模式与Reddit非mh社区进行比较。利用Reddit的帖子风格功能,我们为帖子意图定义了一个基本事实,并应用了一个自动分类方法来推断整个数据集的意图。然后,我们使用因果推理分析来评估社区反应对后续用户行为的影响。我们的分析显示,与mh相关的子reddit在内容长度、一次性账户使用、用户行为、持久性和社区反应方面具有独特的特征。这些在线行为反映了其他互助型Reddit社区的行为,并与线下模式产生了共鸣,同时与非支持导向的子Reddit有所不同。我们还发现,寻求支持和发泄是发帖的主要目的,随着时间的推移,用户倾向于保持一致的意图。此外,我们观察到,接受评论和反应显著影响用户的后续参与,促进了参与度的提高。这些发现强调了在线MH社区的支持作用,并强调了定制设计的必要性,以优化用户体验,并为面临MH挑战的个人提供支持。
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来源期刊
CiteScore
19.10
自引率
4.00%
发文量
381
审稿时长
40 days
期刊介绍: Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.
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