{"title":"Sexual and geocultural algorithmic imaginaries: Examining approaches of participatory resignation among LGBTQ+ Instagrammers in Berlin and Montreal","authors":"Alex Chartrand, Stefanie Duguay","doi":"10.1177/13678779241267292","DOIUrl":null,"url":null,"abstract":"This study builds on theories of user imaginaries by examining how LGBTQ+ creators in Montreal, Canada and Berlin, Germany respond to perceived algorithmic bias. Through observation and close reading of creators’ Instagram content, the study finds that expectations of discrimination based on sexual and gender identity, embedded in geographical and sociocultural contexts, shape these users’ understandings of threats posed by algorithmic governance. Findings also identified three main responses to perceived algorithmic bias: direct calls for engagement, strategies for eluding algorithmic surveillance, and adaptation to presumed algorithmic parameters. Instead of giving up or leaving, these responses demonstrated users’ participatory resignation, as an expectation of algorithmic bias informed by past experiences of identity-based discrimination paired with determination to negotiate such bias to endure on the platform. Thus, this article contributes a novel comparative analysis that expands conceptualizations of algorithmic imaginaries while revealing how resignation is mobilized as resistance to algorithmic governance.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":"46 17","pages":""},"PeriodicalIF":16.4000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/13678779241267292","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study builds on theories of user imaginaries by examining how LGBTQ+ creators in Montreal, Canada and Berlin, Germany respond to perceived algorithmic bias. Through observation and close reading of creators’ Instagram content, the study finds that expectations of discrimination based on sexual and gender identity, embedded in geographical and sociocultural contexts, shape these users’ understandings of threats posed by algorithmic governance. Findings also identified three main responses to perceived algorithmic bias: direct calls for engagement, strategies for eluding algorithmic surveillance, and adaptation to presumed algorithmic parameters. Instead of giving up or leaving, these responses demonstrated users’ participatory resignation, as an expectation of algorithmic bias informed by past experiences of identity-based discrimination paired with determination to negotiate such bias to endure on the platform. Thus, this article contributes a novel comparative analysis that expands conceptualizations of algorithmic imaginaries while revealing how resignation is mobilized as resistance to algorithmic governance.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.