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Improving responsible Media Reporting on Student Suicide to Reduce Negative Public Opinion

Text Mining Based on Sina Weibo in China

Datos Bibliográficos

ID13627889
AutoresMeijie Chu (Xiamen University), Chun Yang Lee (0000-0002-1080-5297, Xiamen University), Chun-Yang Lee (Xiamen University Tan Kah Kee College), Shiling Huang (Xiamen University), Xiaoke Zhang (0000-0003-2906-131X, Xiamen University), Lijie Wang (0000-0002-1786-5962, Xiamen University), Tianmu Chen (0000-0003-0710-5086, Xiamen University, autor de correspondencia), Yi Chen Chiang (0000-0001-9630-1956, Xiamen University, autor de correspondencia)
Año2024
Volumen93
Número1
Páginas541-565
Fecha de publicación2024-07-24
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaOMEGA - Journal of Death and Dying (JOURNAL)
Identificadores de la revistaISSN: 0030-2228 • E-ISSN: 1541-3764
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/00302228241240945
PMID39049160
OpenAlexW4401001813
IdiomaEN
Referencias citadas60

The aims of this study were to explore whether student suicide reporting is consistent with media recommendations for suicide reporting; analyze public opinion and sentiments toward student suicide reports. A keyword search was performed on the WeiboReach platform. This study included 113 student suicide report posts and 176,262 readers' comments on suicide news reports. Hierarchical generalized linear modeling was used to analyze the relationships between adherence to reporting recommendations and negative emotions in readers' comments. None of the media reporting of student suicide was consistent with all of the media recommendations for suicide reporting. Netizens were less likely to post negative comments when the reports describe the suicide method used (OR 1.169, 95% CI 1.022∼1.337), and not specifying the cause of suicide was a protective factor for public negative emotion (OR 0.799, 95% CI 0.707, 0.905). The findings suggest improving responsible media reporting on student suicide to reduce negative public emotion

China · Internet privacy · Media coverage · Media studies · Political science · Public opinion · Social media · Sociology · World Wide Web · Computational and Text Analysis Methods · Computer Science · Law · Mental Health via Writing · Psychology

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