ArticleInternet interventions2018
The rate of reply and nature of responses to suicide-related posts on Twitter.
Article in Internet interventions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine Learning and Natural Language Processing in Mental Health: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Article
- The Pulse of Long COVID on Twitter: A Social Network Analysis.Archives of Iranian medicine · 2024Article
- Predicting negative attitudes towards suicide in social media texts: prediction model development and validation study.Frontiers in public health · 2024Article
- The assessment of Twitter discourse on the new COVID-19 variant, XBB.1.5, through social network analysis.Vaccine: X · 2023Article
- Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo.Journal of medical Internet research · 2022Article
- Commenting and connecting: A thematic analysis of responses to YouTube vlogs about borderline personality disorder.Internet interventions · 2022Article
- Mind the gap: Exploring differences in suicide literacy between cybersuicide and offline suicide.Frontiers in public health · 2022Article
- It's quality and quantity: the effect of the amount of comments on online suicidal posts.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2021Article
- The Use of Social Media for Health Research Purposes: Scoping Review.Journal of medical Internet research · 2021Article
- Ethics and Privacy in Social Media Research for Mental Health.Current psychiatry reports · 2020Review
- A Comparison of the Psycholinguistic Styles of Schizophrenia-Related Stigma and Depression-Related Stigma on Social Media: Content Analysis.Journal of medical Internet research · 2020Article
- Gaining a deeper understanding of nutrition using social networks and user-generated content.Internet interventions · 2020Article
- A Psycholinguistic Analysis of Responses to Live-Stream Suicides on Social Media.International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The social media platform Twitter has been used by individuals to communicate suicidal thoughts and intentions. Currently, the nature and rate of reply to this type of Twitter content is unknown. This brief report aimed to understand how Twitter users respond to suicide-related content as compared to non-suicide related content. Using a dataset of suicide and non-suicide related posts, replies, retweets and likes were analysed and compared. The content of the first replies to suicide-related posts were also reviewed. When compared to non-suicide related posts, those that were suicide-related received a significantly greater number of replies, with fewer retweets and likes. The rate of reply to the suicide-related posts was also significantly faster than that of the non-suicide related posts, with the average reply occurring within 1 h. Thematic analysis revealed that 62% of the first replies to suicidal posts were of a potentially helpful nature (e.g. discouraging suicide, caring, or clarifying), while 23% were dismissive or encouraging of the suicide. These findings indicate that Twitter users respond differently to suicidal content. Further research is needed to determine the effects of the replies on suicidal intentions or ideations, and whether this platform can be used to intervene, increase help-seeking, or provide anti-stigma campaigns.
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Registered trials
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.