{"title":"具有价值和多样性意识的新闻推荐系统:算法把关能否引导读者浏览多元化新闻?","authors":"Donghee Shin, Shuhua Zhou","doi":"10.1177/10776990241246680","DOIUrl":null,"url":null,"abstract":"Personalized news recommendation systems (NRSs) have become essential tools for users to view the vast amount of online news. Current NRSs, however, face crucial challenges in ensuring users’ right to view diverse news and viewpoints. We propose a conceptual framework for personalized recommendation nudges that can promote diverse news consumption on online platforms. We test the effects of diversity nudges by examining how users make sense of algorithmic nudges and how nudges influence users’ views on personalization and attitudes toward news diversity and media pluralism. The findings show that algorithmic nudges play a crucial role in understanding normative values in NRSs, which then influence the user’s intention to consume diverse news. The results further imply the personalization paradox that personalized news recommendations can enhance and decrease user engagement with the systems. The results provide conceptual and operational bases for diversity-aware NRS design, improving the diversity and personalization of news recommendations. We offer a conceptual framework of algorithmic nudges and news diversity, and from there, we develop theoretically grounded paths for facilitating diversity and pluralism in NRSs.","PeriodicalId":48095,"journal":{"name":"Journalism & Mass Communication Quarterly","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Value and Diversity-Aware News Recommendation Systems: Can Algorithmic Gatekeeping Nudge Readers to View Diverse News?\",\"authors\":\"Donghee Shin, Shuhua Zhou\",\"doi\":\"10.1177/10776990241246680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Personalized news recommendation systems (NRSs) have become essential tools for users to view the vast amount of online news. Current NRSs, however, face crucial challenges in ensuring users’ right to view diverse news and viewpoints. We propose a conceptual framework for personalized recommendation nudges that can promote diverse news consumption on online platforms. We test the effects of diversity nudges by examining how users make sense of algorithmic nudges and how nudges influence users’ views on personalization and attitudes toward news diversity and media pluralism. The findings show that algorithmic nudges play a crucial role in understanding normative values in NRSs, which then influence the user’s intention to consume diverse news. The results further imply the personalization paradox that personalized news recommendations can enhance and decrease user engagement with the systems. The results provide conceptual and operational bases for diversity-aware NRS design, improving the diversity and personalization of news recommendations. We offer a conceptual framework of algorithmic nudges and news diversity, and from there, we develop theoretically grounded paths for facilitating diversity and pluralism in NRSs.\",\"PeriodicalId\":48095,\"journal\":{\"name\":\"Journalism & Mass Communication Quarterly\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journalism & Mass Communication Quarterly\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1177/10776990241246680\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journalism & Mass Communication Quarterly","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/10776990241246680","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
A Value and Diversity-Aware News Recommendation Systems: Can Algorithmic Gatekeeping Nudge Readers to View Diverse News?
Personalized news recommendation systems (NRSs) have become essential tools for users to view the vast amount of online news. Current NRSs, however, face crucial challenges in ensuring users’ right to view diverse news and viewpoints. We propose a conceptual framework for personalized recommendation nudges that can promote diverse news consumption on online platforms. We test the effects of diversity nudges by examining how users make sense of algorithmic nudges and how nudges influence users’ views on personalization and attitudes toward news diversity and media pluralism. The findings show that algorithmic nudges play a crucial role in understanding normative values in NRSs, which then influence the user’s intention to consume diverse news. The results further imply the personalization paradox that personalized news recommendations can enhance and decrease user engagement with the systems. The results provide conceptual and operational bases for diversity-aware NRS design, improving the diversity and personalization of news recommendations. We offer a conceptual framework of algorithmic nudges and news diversity, and from there, we develop theoretically grounded paths for facilitating diversity and pluralism in NRSs.
期刊介绍:
Journalism & Mass Communication Quarterly focuses on research in journalism and mass communication. Each issue features reports of original investigation, presenting the latest developments in theory and methodology of communication, international communication, journalism history, and social and legal problems. Journalism & Mass Communication Quarterly also contains book reviews. Refereed. Published four times a year.