{"title":"The Affective Algorithms of Conspiracy TikTok","authors":"Justin Grandinetti, Jeffrey Bruinsma","doi":"10.1080/08838151.2022.2140806","DOIUrl":null,"url":null,"abstract":"ABSTRACT The initial optimism about the embedded and everyday integration of social media has, over time, given way to pessimism via the acknowledgment of these platforms’ role in the spread of mis(dis)information and the erosion of democratic ideals. Inspired by emergent accounts of how users encounter, experience, and make sense of algorithms in their everyday lives, we offer an ethnographic investigation into Conspiracy TikTok, tracing the affective flows of mis(dis)information on the platform. Specifically, we highlight our observations on reverse engineering TikTok’s algorithm, the affective pull of conspiracy content, and the critical element of algorithmic personalization.","PeriodicalId":48051,"journal":{"name":"Journal of Broadcasting & Electronic Media","volume":"67 1","pages":"274 - 293"},"PeriodicalIF":2.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Broadcasting & Electronic Media","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/08838151.2022.2140806","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 2
Abstract
ABSTRACT The initial optimism about the embedded and everyday integration of social media has, over time, given way to pessimism via the acknowledgment of these platforms’ role in the spread of mis(dis)information and the erosion of democratic ideals. Inspired by emergent accounts of how users encounter, experience, and make sense of algorithms in their everyday lives, we offer an ethnographic investigation into Conspiracy TikTok, tracing the affective flows of mis(dis)information on the platform. Specifically, we highlight our observations on reverse engineering TikTok’s algorithm, the affective pull of conspiracy content, and the critical element of algorithmic personalization.
期刊介绍:
Published quarterly for the Broadcast Education Association, the Journal of Broadcasting & Electronic Media contains timely articles about new developments, trends, and research in electronic media written by academicians, researchers, and other electronic media professionals. The Journal invites submissions of original research that examine a broad range of issues concerning the electronic media, including the historical, technological, economic, legal, policy, cultural, social, and psychological dimensions. Scholarship that extends a historiography, tests theory, or that fosters innovative perspectives on topics of importance to the field, is particularly encouraged. The Journal is open to a diversity of theoretic paradigms and methodologies.