{"title":"审计 YouTube 上的娱乐陷阱：推荐算法如何让用户远离新闻","authors":"Shengchun Huang, Tian Yang","doi":"10.1080/10584609.2024.2343769","DOIUrl":null,"url":null,"abstract":"Recommendation algorithms that customize information feeds for individuals have raised concerns about exacerbating inequalities in news exposure among citizens. In response to these concerns, we co...","PeriodicalId":20264,"journal":{"name":"Political Communication","volume":"74 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Auditing Entertainment Traps on YouTube: How Do Recommendation Algorithms Pull Users Away from News\",\"authors\":\"Shengchun Huang, Tian Yang\",\"doi\":\"10.1080/10584609.2024.2343769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recommendation algorithms that customize information feeds for individuals have raised concerns about exacerbating inequalities in news exposure among citizens. In response to these concerns, we co...\",\"PeriodicalId\":20264,\"journal\":{\"name\":\"Political Communication\",\"volume\":\"74 1\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Political Communication\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/10584609.2024.2343769\",\"RegionNum\":1,\"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":"Political Communication","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/10584609.2024.2343769","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
Auditing Entertainment Traps on YouTube: How Do Recommendation Algorithms Pull Users Away from News
Recommendation algorithms that customize information feeds for individuals have raised concerns about exacerbating inequalities in news exposure among citizens. In response to these concerns, we co...
期刊介绍：
Political Communication is a quarterly international journal showcasing state-of-the-art, theory-driven empirical research at the nexus of politics and communication. Its broad scope addresses swiftly evolving dynamics and urgent policy considerations globally. The journal embraces diverse research methodologies and analytical perspectives aimed at advancing comprehension of political communication practices, processes, content, effects, and policy implications. Regular symposium issues delve deeply into key thematic areas.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
