Cargando…
A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia
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 suic...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751152/ https://www.ncbi.nlm.nih.gov/pubmed/35010601 http://dx.doi.org/10.3390/ijerph19010343 |
_version_ | 1784631624665661440 |
---|---|
author | Law, Phillip Cheuk Fung Too, Lay San Hill, Nicole T. M. Robinson, Jo Gould, Madelyn Occhipinti, Jo-An Spittal, Matthew J. Witt, Katrina Sinyor, Mark Till, Benedikt Osgood, Nathaniel Prodan, Ante Zahan, Rifat Pirkis, Jane |
author_facet | Law, Phillip Cheuk Fung Too, Lay San Hill, Nicole T. M. Robinson, Jo Gould, Madelyn Occhipinti, Jo-An Spittal, Matthew J. Witt, Katrina Sinyor, Mark Till, Benedikt Osgood, Nathaniel Prodan, Ante Zahan, Rifat Pirkis, Jane |
author_sort | Law, Phillip Cheuk Fung |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8751152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87511522022-01-12 A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia Law, Phillip Cheuk Fung Too, Lay San Hill, Nicole T. M. Robinson, Jo Gould, Madelyn Occhipinti, Jo-An Spittal, Matthew J. Witt, Katrina Sinyor, Mark Till, Benedikt Osgood, Nathaniel Prodan, Ante Zahan, Rifat Pirkis, Jane Int J Environ Res Public Health Article 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. MDPI 2021-12-29 /pmc/articles/PMC8751152/ /pubmed/35010601 http://dx.doi.org/10.3390/ijerph19010343 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Law, Phillip Cheuk Fung Too, Lay San Hill, Nicole T. M. Robinson, Jo Gould, Madelyn Occhipinti, Jo-An Spittal, Matthew J. Witt, Katrina Sinyor, Mark Till, Benedikt Osgood, Nathaniel Prodan, Ante Zahan, Rifat Pirkis, Jane A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia |
title | A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia |
title_full | A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia |
title_fullStr | A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia |
title_full_unstemmed | A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia |
title_short | A Pilot Case-Control Study of the Social Media Activity Following Cluster and Non-Cluster Suicides in Australia |
title_sort | pilot case-control study of the social media activity following cluster and non-cluster suicides in australia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751152/ https://www.ncbi.nlm.nih.gov/pubmed/35010601 http://dx.doi.org/10.3390/ijerph19010343 |
work_keys_str_mv | AT lawphillipcheukfung apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT toolaysan apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT hillnicoletm apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT robinsonjo apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT gouldmadelyn apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT occhipintijoan apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT spittalmatthewj apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT wittkatrina apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT sinyormark apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT tillbenedikt apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT osgoodnathaniel apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT prodanante apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT zahanrifat apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT pirkisjane apilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT lawphillipcheukfung pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT toolaysan pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT hillnicoletm pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT robinsonjo pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT gouldmadelyn pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT occhipintijoan pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT spittalmatthewj pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT wittkatrina pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT sinyormark pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT tillbenedikt pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT osgoodnathaniel pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT prodanante pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT zahanrifat pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia AT pirkisjane pilotcasecontrolstudyofthesocialmediaactivityfollowingclusterandnonclustersuicidesinaustralia |