A. Herasimenka, Jonathan Bright, Aleksi Knuutila, P. Howard
{"title":"基本上不受干扰的平台上的虚假信息和专业新闻:电报的案例","authors":"A. Herasimenka, Jonathan Bright, Aleksi Knuutila, P. Howard","doi":"10.1080/19331681.2022.2076272","DOIUrl":null,"url":null,"abstract":"ABSTRACT To date, there is little research to measure the scale of misinformation and understand how it spreads on largely unmoderated platforms. Our analysis of 200,000 Telegram posts demonstrates that links to known sources of misleading information are shared more often than links to professional news content, but the former stays confined to relatively few channels. We conclude that, contrary to popular received wisdom, the audience for misinformation is not a general one, but a small and active community of users. Our study strengthens an empirical consensus regarding the spread of misinformation and expands it for the case of Telegram.","PeriodicalId":47047,"journal":{"name":"Journal of Information Technology & Politics","volume":"20 1","pages":"198 - 212"},"PeriodicalIF":2.6000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Misinformation and professional news on largely unmoderated platforms: the case of telegram\",\"authors\":\"A. Herasimenka, Jonathan Bright, Aleksi Knuutila, P. Howard\",\"doi\":\"10.1080/19331681.2022.2076272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT To date, there is little research to measure the scale of misinformation and understand how it spreads on largely unmoderated platforms. Our analysis of 200,000 Telegram posts demonstrates that links to known sources of misleading information are shared more often than links to professional news content, but the former stays confined to relatively few channels. We conclude that, contrary to popular received wisdom, the audience for misinformation is not a general one, but a small and active community of users. Our study strengthens an empirical consensus regarding the spread of misinformation and expands it for the case of Telegram.\",\"PeriodicalId\":47047,\"journal\":{\"name\":\"Journal of Information Technology & Politics\",\"volume\":\"20 1\",\"pages\":\"198 - 212\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2022-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information Technology & Politics\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/19331681.2022.2076272\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Technology & Politics","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/19331681.2022.2076272","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
Misinformation and professional news on largely unmoderated platforms: the case of telegram
ABSTRACT To date, there is little research to measure the scale of misinformation and understand how it spreads on largely unmoderated platforms. Our analysis of 200,000 Telegram posts demonstrates that links to known sources of misleading information are shared more often than links to professional news content, but the former stays confined to relatively few channels. We conclude that, contrary to popular received wisdom, the audience for misinformation is not a general one, but a small and active community of users. Our study strengthens an empirical consensus regarding the spread of misinformation and expands it for the case of Telegram.