{"title":"Rethinking Engagement: Challenging the Financial Model of Social Media Platforms","authors":"Thomas Casey","doi":"10.1162/99608f92.f09b190b","DOIUrl":null,"url":null,"abstract":"Editor’s Note: Social media has long been accused of contributing to mental health issues, but this call to action cuts to the heart of the matter: engagement with the platform has become the most important metric, and the algorithms that best produce results tap into negative bias of the users. Thomas Casey makes the case for a financial model that would be more beneficial to users of these platforms and society overall.","PeriodicalId":73195,"journal":{"name":"Harvard data science review","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Harvard data science review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1162/99608f92.f09b190b","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Editor’s Note: Social media has long been accused of contributing to mental health issues, but this call to action cuts to the heart of the matter: engagement with the platform has become the most important metric, and the algorithms that best produce results tap into negative bias of the users. Thomas Casey makes the case for a financial model that would be more beneficial to users of these platforms and society overall.