Evidence map›Paper›PMID 26380801›Full record

ArticlePeerJ2015

Attitudes towards suicide attempts broadcast on social media: an exploratory study of Chinese microblogs.

Ang Li, Xiaoxiao Huang, Bibo Hao, Bridianne O'Dea, Helen Christensen, Tingshao Zhu

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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 · 2021
    Article
  7. Article
  8. Article
  9. A Psycholinguistic Analysis of Responses to Live-Stream Suicides on Social Media.International journal of environmental research and public health · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Exploring Behavior of People with Suicidal Ideation in a Chinese Online Suicidal Community.International journal of environmental research and public health · 2018
    Article
  14. Article
  15. Article
  16. Review
  17. Review
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

6 authors.

Ang LiDepartment of Psychology, Beijing Forestry University , Beijing , China ; Black Dog Institute, University of New South Wales , Sydney, NSW , Australia ; Institute of Psychology, Chinese Academy of Sciences , Beijing , China.
Xiaoxiao HuangInstitute of Psychology, Chinese Academy of Sciences , Beijing , China.
Bibo HaoInstitute of Psychology, Chinese Academy of Sciences , Beijing , China ; School of Computer and Control, University of Chinese Academy of Sciences , Beijing , China.
Bridianne O'DeaBlack Dog Institute, University of New South Wales , Sydney, NSW , Australia.
Helen ChristensenBlack Dog Institute, University of New South Wales , Sydney, NSW , Australia.
Tingshao ZhuInstitute of Psychology, Chinese Academy of Sciences , Beijing , China ; Institute of Computing Technology, Chinese Academy of Sciences , Beijing , China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction. Broadcasting a suicide attempt on social media has become a public health concern in many countries, particularly in China. In these cases, social media users are likely to be the first to witness the suicide attempt, and their attitudes may determine their likelihood of joining rescue efforts. This paper examines Chinese social media (Weibo) users' attitudes towards suicide attempts broadcast on Weibo. Methods. A total of 4,969 Weibo posts were selected from a customised Weibo User Pool which consisted of 1.06 million active users. The selected posts were then independently coded by two researchers using a coding framework that assessed: (a) Themes, (b) General attitudes, (c) Stigmatising attitudes, (d) Perceived motivations, and (e) Desired responses. Results and Discussion. More than one third of Weibo posts were coded as "stigmatising" (35%). Among these, 22%, 16%, and 15% of posts were coded as "deceitful," "pathetic," and "stupid," respectively. Among the posts which reflected different types of perceived motivations, 57% of posts were coded as "seeking attention." Among the posts which reflected desired responses, 37% were "not saving" and 28% were "encouraging suicide." Furthermore, among the posts with negative desired responses (i.e., "not saving" and "encouraging suicide"), 57% and 17% of them were related to different types of stigmatising attitudes and perceived motivations, respectively. Specifically, 29% and 26% of posts reflecting both stigmatising attitudes and negative desired responses were coded as "deceitful" and "pathetic," respectively, while 66% of posts reflecting both perceived motivations, and negative desired responses were coded as "seeking attention." Very few posts "promoted literacy" (2%) or "provided resources" (8%). Gender differences existed in multiple categories. Conclusions. This paper confirms the need for stigma reduction campaigns for Chinese social media users to improve their attitudes towards those who broadcast their suicide attempts on social media. Results of this study support the need for improved public health programs in China and may be insightful for other countries and other social media platforms.

Indexed as

ChinaMicroblogSocial mediaStigmaSuicideWeibo

Identifiers

PMID26380801
PMCPMC4570843

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.