Evidence map›Paper›PMID 35010601›Full record

ArticleInternational journal of environmental research and public health2021

A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia.

Phillip Cheuk Fung Law, Lay San Too, Nicole T M Hill, Jo Robinson, Madelyn Gould, Jo-An Occhipinti, Matthew J Spittal, Katrina Witt, Mark Sinyor, Benedikt Till and 4 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Phillip Cheuk Fung LawCentre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Parkville 3053, Australia.
Lay San TooCentre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Parkville 3053, Australia.
Nicole T M HillTelethon Kids Institute, Nedlands 6009, Australia.ORCID 0000-0003-1987-5299
Jo RobinsonOrygen, Parkville 3052, Australia.ORCID 0000-0001-5652-918X
Madelyn GouldDepartments of Epidemiology and Psychiatry, Columbia University, New York, NY 10032, USA.
Jo-An OcchipintiBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia.ORCID 0000-0002-2380-1092
Matthew J SpittalCentre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Parkville 3053, Australia.
Katrina WittOrygen, Parkville 3052, Australia.
Mark SinyorSunnybrook Health Sciences Centre, Department of Psychiatry, University of Toronto, Toronto, ON M4N 3M5, Canada.
Benedikt TillUnit Suicide Research & Mental Health Promotion, Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria.
Nathaniel OsgoodDepartment of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada.
Ante ProdanBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia.ORCID 0000-0001-9684-7967
Rifat ZahanDepartment of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada.
Jane PirkisCentre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Parkville 3053, Australia.ORCID 0000-0002-2538-4472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Social MediaSuicideAustraliaCase-Control StudiesHumansSentiment Analysisclusterscontagionsocial mediasuicide

Identifiers

PMID35010601
PMCPMC8751152

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.