Abstract

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.

Highlights

  • A total of 48 suicides were included in the cluster group as cluster cases and these were matched on sex and age group to 480 controls who were included in the non-cluster group

  • We identified the Facebook accounts of three of the 48 cluster cases (6% of cluster cases; all males; age range = 22–49 years; mean age = 36 years), all of whom were from Cluster 2

  • Anything that can be done to tease out the relationship between members of a suicide cluster is likely to take our knowledge forward, as are efforts to determine whether those who died by suicide later in a cluster were exposed to social media content about those who died earlier in the cluster

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Summary

Objectives

We aimed to help clarify the role social media plays in the initiation and perpetuation of suicide clusters. We aimed to determine whether there were differences in the linguistic style, social attributes and emotional attributes of

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