{"title":"数字道德愤怒、集体内疚和集体行动:在印度与Covid-19相关的移民危机期间,推特用户如何表达他们的痛苦。","authors":"Neelam Sharma","doi":"10.1177/01968599221081127","DOIUrl":null,"url":null,"abstract":"<p><p>This paper examines the intersection of group-based expressions including digital moral outrage, collective guilt, and collective action on Twitter, following the tragic incident of 8 May 2020, in which 16 migrant workers were run over by a train after the Indian government imposed a sudden COVID-19-related lockdown. Twitter data were gathered immediately at three different times - May 8-15, May 16- 23, May 24-May 31, and 4598 tweets were manually coded. The analysis revealed that digital moral outrage was the most frequently expressed emotion. It, however, gradually decreased, signaling digital outrage fatigue. Collective guilt and sympathy constituted the second-largest portion of the total tweets, and tweets reflecting collective action by the community progressively increased. The network of relationships among different group-based emotions, the promotion of one-sided narratives and virtue signaling on social media platforms are discussed.</p>","PeriodicalId":45677,"journal":{"name":"Journal of Communication Inquiry","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676108/pdf/10.1177_01968599221081127.pdf","citationCount":"2","resultStr":"{\"title\":\"Digital Moral Outrage, Collective Guilt, And Collective Action: An Examination of How Twitter Users Expressed Their Anguish During India's Covid-19 Related Migrant Crisis.\",\"authors\":\"Neelam Sharma\",\"doi\":\"10.1177/01968599221081127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This paper examines the intersection of group-based expressions including digital moral outrage, collective guilt, and collective action on Twitter, following the tragic incident of 8 May 2020, in which 16 migrant workers were run over by a train after the Indian government imposed a sudden COVID-19-related lockdown. Twitter data were gathered immediately at three different times - May 8-15, May 16- 23, May 24-May 31, and 4598 tweets were manually coded. The analysis revealed that digital moral outrage was the most frequently expressed emotion. It, however, gradually decreased, signaling digital outrage fatigue. Collective guilt and sympathy constituted the second-largest portion of the total tweets, and tweets reflecting collective action by the community progressively increased. The network of relationships among different group-based emotions, the promotion of one-sided narratives and virtue signaling on social media platforms are discussed.</p>\",\"PeriodicalId\":45677,\"journal\":{\"name\":\"Journal of Communication Inquiry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676108/pdf/10.1177_01968599221081127.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Communication Inquiry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/01968599221081127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Communication Inquiry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/01968599221081127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMMUNICATION","Score":null,"Total":0}
Digital Moral Outrage, Collective Guilt, And Collective Action: An Examination of How Twitter Users Expressed Their Anguish During India's Covid-19 Related Migrant Crisis.
This paper examines the intersection of group-based expressions including digital moral outrage, collective guilt, and collective action on Twitter, following the tragic incident of 8 May 2020, in which 16 migrant workers were run over by a train after the Indian government imposed a sudden COVID-19-related lockdown. Twitter data were gathered immediately at three different times - May 8-15, May 16- 23, May 24-May 31, and 4598 tweets were manually coded. The analysis revealed that digital moral outrage was the most frequently expressed emotion. It, however, gradually decreased, signaling digital outrage fatigue. Collective guilt and sympathy constituted the second-largest portion of the total tweets, and tweets reflecting collective action by the community progressively increased. The network of relationships among different group-based emotions, the promotion of one-sided narratives and virtue signaling on social media platforms are discussed.
期刊介绍:
The Journal of Communication Inquiry emphasizes interdisciplinary inquiry into communication and mass communication phenomena within cultural and historical perspectives. Such perspectives imply that an understanding of these phenomena cannot arise soley out of a narrowly focused analysis. Rather, the approaches emphasize philosophical, evaluative, empirical, legal, historical, and/or critical inquiry into relationships between mass communication and society across time and culture. The Journal of Communication Inquiry is a forum for such investigations.