突发活动：在线心理健康论坛中寻求帮助和支持的时间模式
Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums
摘要：
近年来，社交媒体平台的兴起为患有精神疾病的个人提供了点对点的支持。对这些平台的影响的研究集中在单岗位线程的短期规模，或在任意时间段（数月或数年）的长期变化。虽然重要，但这种任意的时间段不一定跟随用户经历痛苦的急性期的进展。使用来自心理健康平台Talklife的数据，我们发现用户活动遵循高活动期与无活动期交错的独特模式，并提出了一种用于识别此类活动突发和中断的方法。然后，我们展示了如何在爆发期间研究活动可以为在线心理健康社区的一个关键问题提供个性化的中期分析：用户活动的哪些特征导致一些用户找到支持和帮助，而其他人则达不到？使用两个独立的结果指标，认知变化的时刻和自我报告的情绪变化在一个突发的活动，我们确定了两个可操作的功能，可以改善用户的结果：持久性内突发，并给予复杂的情感支持他人。我们的研究结果表明，在网上精神健康社区的心理社会变化的自然分析单位考虑突发的价值。
英文摘要：
Recent years have seen a rise in social media platforms that provide peer-to-peer support to individuals suffering from mental distress. Studies on the impact of these platforms have focused on either short-term scales of single-post threads, or long-term changes over arbitrary period of time (months or years). While important, such arbitrary periods do not necessarily follow users' progressions through acute periods of distress. Using data from Talklife, a mental health platform, we find that user activity follows a distinct pattern of high activity periods with interleaving periods of no activity, and propose a method for identifying such bursts and breaks in activity. We then show how studying activity during bursts can provide a personalized, medium-term analysis for a key question in online mental health communities: What characteristics of user activity lead some users to find support and help, while others fall short? Using two independent outcome metrics, moments of cognitive change and self-reported changes in mood during a burst of activity, we identify two actionable features that can improve outcomes for users: persistence within bursts, and giving complex emotional support to others. Our results demonstrate the value of considering bursts as a natural unit of analysis for psychosocial change in online mental health communities.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
