{"title":"改进负责任的媒体对学生自杀的报道,减少负面舆论:基于中国新浪微博的文本挖掘。","authors":"Meijie Chu, Chun-Yang Lee, Shiling Huang, Xiaoke Zhang, Lijie Wang, Tianmu Chen, Yi-Chen Chiang","doi":"10.1177/00302228241240945","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":74338,"journal":{"name":"Omega","volume":" ","pages":"302228241240945"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving responsible Media Reporting on Student Suicide to Reduce Negative Public Opinion: Text Mining Based on Sina Weibo in China.\",\"authors\":\"Meijie Chu, Chun-Yang Lee, Shiling Huang, Xiaoke Zhang, Lijie Wang, Tianmu Chen, Yi-Chen Chiang\",\"doi\":\"10.1177/00302228241240945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":74338,\"journal\":{\"name\":\"Omega\",\"volume\":\" \",\"pages\":\"302228241240945\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Omega\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/00302228241240945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Omega","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00302228241240945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在探讨学生自杀报道是否符合媒体对自杀报道的建议;分析公众对学生自杀报道的看法和情绪。本研究在微博平台上进行了关键词搜索。本研究收录了 113 篇学生自杀报道帖子和 176,262 条读者对自杀新闻报道的评论。研究采用层次广义线性模型分析了报道建议的遵循与读者评论中负面情绪之间的关系。结果发现,没有一家媒体对学生自杀事件的报道符合所有媒体对自杀事件报道的建议。当报道描述自杀方式时,网民发表负面评论的可能性较低(OR 1.169,95% CI 1.022∼1.337),而不说明自杀原因是公众负面情绪的保护因素(OR 0.799,95% CI 0.707,0.905)。研究结果表明,媒体应加强对学生自杀事件的负责任报道,以减少公众的负面情绪。
Improving responsible Media Reporting on Student Suicide to Reduce Negative Public Opinion: Text Mining Based on Sina Weibo in China.
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.