Qing Xiao, Yuhang Zheng, Xianzhe Fan, Bingbing Zhang, Zhicong Lu
{"title":"让我们一起影响算法:数百万粉丝如何建立对算法的集体理解并组织协调算法行动","authors":"Qing Xiao, Yuhang Zheng, Xianzhe Fan, Bingbing Zhang, Zhicong Lu","doi":"arxiv-2409.10670","DOIUrl":null,"url":null,"abstract":"Previous research pays attention to how users strategically understand and\nconsciously interact with algorithms but mainly focuses on an individual level,\nmaking it difficult to explore how users within communities could develop a\ncollective understanding of algorithms and organize collective algorithmic\nactions. Through a two-year ethnography of online fan activities, this study\ninvestigates 43 core fans who always organize large-scale fans' collective\nactions and their corresponding general fan groups. This study aims to reveal\nhow these core fans mobilize millions of general fans through collective\nalgorithmic actions. These core fans reported the rhetorical strategies used to\npersuade general fans, the steps taken to build a collective understanding of\nalgorithms, and the collaborative processes that adapt collective actions\nacross platforms and cultures. Our findings highlight the key factors that\nenable computer-supported collective algorithmic actions and extend collective\naction research into large-scale domain targeting algorithms.","PeriodicalId":501032,"journal":{"name":"arXiv - CS - Social and Information Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Let's Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions\",\"authors\":\"Qing Xiao, Yuhang Zheng, Xianzhe Fan, Bingbing Zhang, Zhicong Lu\",\"doi\":\"arxiv-2409.10670\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Previous research pays attention to how users strategically understand and\\nconsciously interact with algorithms but mainly focuses on an individual level,\\nmaking it difficult to explore how users within communities could develop a\\ncollective understanding of algorithms and organize collective algorithmic\\nactions. Through a two-year ethnography of online fan activities, this study\\ninvestigates 43 core fans who always organize large-scale fans' collective\\nactions and their corresponding general fan groups. This study aims to reveal\\nhow these core fans mobilize millions of general fans through collective\\nalgorithmic actions. These core fans reported the rhetorical strategies used to\\npersuade general fans, the steps taken to build a collective understanding of\\nalgorithms, and the collaborative processes that adapt collective actions\\nacross platforms and cultures. Our findings highlight the key factors that\\nenable computer-supported collective algorithmic actions and extend collective\\naction research into large-scale domain targeting algorithms.\",\"PeriodicalId\":501032,\"journal\":{\"name\":\"arXiv - CS - Social and Information Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Social and Information Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.10670\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Social and Information Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Let's Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions
Previous research pays attention to how users strategically understand and
consciously interact with algorithms but mainly focuses on an individual level,
making it difficult to explore how users within communities could develop a
collective understanding of algorithms and organize collective algorithmic
actions. Through a two-year ethnography of online fan activities, this study
investigates 43 core fans who always organize large-scale fans' collective
actions and their corresponding general fan groups. This study aims to reveal
how these core fans mobilize millions of general fans through collective
algorithmic actions. These core fans reported the rhetorical strategies used to
persuade general fans, the steps taken to build a collective understanding of
algorithms, and the collaborative processes that adapt collective actions
across platforms and cultures. Our findings highlight the key factors that
enable computer-supported collective algorithmic actions and extend collective
action research into large-scale domain targeting algorithms.