{"title":"吃你的蛋糕,并把它喂下去:YouTube、口口相传的渴望和持续存在的媒体成瘾问题","authors":"Steffen Krüger","doi":"10.5210/fm.v28i8.12917","DOIUrl":null,"url":null,"abstract":"Focusing on the case of recommendations on the video streaming platform YouTube, this article revisits questions of media addiction and addictive media that continue to trouble research in the field. Based on a close reading of Google/YouTube’s engineering papers, this paper argues that the platform’s recommender system — the machine learning system responsible for the personalisation and customisation of what videos users are offered — has been designed to function as a feeding tube and a precarious holding environment, thus corroborating widespread critiques about this system’s addictive — oral — strategies of user retention. Subsequently, this article discusses how the platform’s more recent promise of “responsible recommendations” has so far been articulated in the engineering papers. Specifically, this promise has taken the form of a fetishist structure that endorses responsibility but not at the expense of the time users spend watching. This structure is best captured in the proverbial Have your cake and eat it too.","PeriodicalId":38833,"journal":{"name":"First Monday","volume":"99 S6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Have your cake and feed it forward too: YouTube, oral cravings and the persistent question of media addiction\",\"authors\":\"Steffen Krüger\",\"doi\":\"10.5210/fm.v28i8.12917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Focusing on the case of recommendations on the video streaming platform YouTube, this article revisits questions of media addiction and addictive media that continue to trouble research in the field. Based on a close reading of Google/YouTube’s engineering papers, this paper argues that the platform’s recommender system — the machine learning system responsible for the personalisation and customisation of what videos users are offered — has been designed to function as a feeding tube and a precarious holding environment, thus corroborating widespread critiques about this system’s addictive — oral — strategies of user retention. Subsequently, this article discusses how the platform’s more recent promise of “responsible recommendations” has so far been articulated in the engineering papers. Specifically, this promise has taken the form of a fetishist structure that endorses responsibility but not at the expense of the time users spend watching. This structure is best captured in the proverbial Have your cake and eat it too.\",\"PeriodicalId\":38833,\"journal\":{\"name\":\"First Monday\",\"volume\":\"99 S6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First Monday\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5210/fm.v28i8.12917\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First Monday","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5210/fm.v28i8.12917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
Have your cake and feed it forward too: YouTube, oral cravings and the persistent question of media addiction
Focusing on the case of recommendations on the video streaming platform YouTube, this article revisits questions of media addiction and addictive media that continue to trouble research in the field. Based on a close reading of Google/YouTube’s engineering papers, this paper argues that the platform’s recommender system — the machine learning system responsible for the personalisation and customisation of what videos users are offered — has been designed to function as a feeding tube and a precarious holding environment, thus corroborating widespread critiques about this system’s addictive — oral — strategies of user retention. Subsequently, this article discusses how the platform’s more recent promise of “responsible recommendations” has so far been articulated in the engineering papers. Specifically, this promise has taken the form of a fetishist structure that endorses responsibility but not at the expense of the time users spend watching. This structure is best captured in the proverbial Have your cake and eat it too.
First MondayComputer Science-Computer Networks and Communications
CiteScore
2.20
自引率
0.00%
发文量
86
期刊介绍:
First Monday is one of the first openly accessible, peer–reviewed journals on the Internet, solely devoted to the Internet. Since its start in May 1996, First Monday has published 1,035 papers in 164 issues; these papers were written by 1,316 different authors. In addition, eight special issues have appeared. The most recent special issue was entitled A Web site with a view — The Third World on First Monday and it was edited by Eduardo Villanueva Mansilla. First Monday is indexed in Communication Abstracts, Computer & Communications Security Abstracts, DoIS, eGranary Digital Library, INSPEC, Information Science & Technology Abstracts, LISA, PAIS, and other services.