Centre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Parkville 3053, Australia.
Telethon Kids Institute, Nedlands 6009, Australia.
Int J Environ Res Public Health. 2021 Dec 29;19(1):343. doi: 10.3390/ijerph19010343.
Social media may play a role in the "contagion" mechanism thought to underpin suicide clusters. Our pilot case-control study presented a novel methodological approach to examining whether Facebook activity following cluster and non-cluster suicides differed. We used a scan statistic to identify suicide cluster cases occurring in spatiotemporal clusters and matched each case to 10 non-cluster control suicides. We identified the Facebook accounts of 3/48 cluster cases and 20/480 non-cluster controls and their respective friends-lists and retrieved 48 posthumous posts and replies (text segments) referring to the deceased for the former and 606 for the latter. We examined text segments for "putatively harmful" and "putatively protective" content (e.g., discussion of the suicide method vs. messages discouraging suicidal acts). We also used concept mapping, word-emotion association, and sentiment analysis and gauged user reactions to posts using the reactions-to-posts ratio. We found no "putatively harmful" or "putatively protective" content following any suicides. However, "family" and "son" concepts were more common for cluster cases and "xx", "sorry" and "loss" concepts were more common for non-cluster controls, and there were twice as many surprise- and disgust-associated words for cluster cases. Posts pertaining to non-cluster controls were four times as receptive as those about cluster cases. We hope that the approach we have presented may help to guide future research to explain suicide clusters and social-media contagion.
社交媒体可能在被认为是自杀集群背后的“传染”机制中发挥作用。我们的初步病例对照研究提出了一种新的方法来检验集群和非集群自杀后 Facebook 活动是否存在差异。我们使用扫描统计来识别在时空集群中发生的自杀集群病例,并为每个病例匹配 10 个非集群对照自杀。我们确定了 3/48 个集群病例和 20/480 个非集群对照的 Facebook 账户及其各自的朋友列表,并检索了 48 个提及死者的死后帖子和回复(文本片段),以及 606 个针对后者的回复。我们检查了文本片段中是否有“据称有害”和“据称保护”的内容(例如,讨论自杀方法与劝阻自杀行为的信息)。我们还使用概念映射、词-情感关联和情感分析,并使用反应到帖子的比例来衡量用户对帖子的反应。我们没有发现任何自杀后有“据称有害”或“据称保护”的内容。然而,集群病例中更常见的是“家庭”和“儿子”概念,而非集群对照中更常见的是“xx”、“抱歉”和“损失”概念,集群病例中与惊讶和厌恶相关的词多了两倍。关于非集群对照的帖子比关于集群病例的帖子接受程度高四倍。我们希望我们提出的方法可以帮助指导未来的研究,以解释自杀集群和社交媒体的传染。