{"title":"DATING THROUGH THE FILTERS","authors":"Karim Nader","doi":"10.1017/S0265052521000133","DOIUrl":null,"url":null,"abstract":"Abstract In this essay, I explore ethical considerations that might arise from the use of collaborative filtering algorithms on dating apps. Collaborative filtering algorithms can predict the preferences of a target user by looking at the past behavior of similar users. By recommending products through this process, they can influence the news we read, the movies we watch, and more. They are extremely powerful and effective on platforms like Amazon and Google. Recommender systems on dating apps are likely to group people by race, since they exhibit similar patterns of behavior: users on dating platforms seem to segregate themselves based on race, exclude certain races from romantic and sexual consideration (except their own), and generally show a preference for white men and women. As collaborative filtering algorithms learn from these patterns to predict preferences and build recommendations, they can homogenize the behavior of dating app users and exacerbate biased sexual and romantic behavior.","PeriodicalId":46601,"journal":{"name":"Social Philosophy & Policy","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/S0265052521000133","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Philosophy & Policy","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1017/S0265052521000133","RegionNum":4,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ETHICS","Score":null,"Total":0}
引用次数: 3
Abstract
Abstract In this essay, I explore ethical considerations that might arise from the use of collaborative filtering algorithms on dating apps. Collaborative filtering algorithms can predict the preferences of a target user by looking at the past behavior of similar users. By recommending products through this process, they can influence the news we read, the movies we watch, and more. They are extremely powerful and effective on platforms like Amazon and Google. Recommender systems on dating apps are likely to group people by race, since they exhibit similar patterns of behavior: users on dating platforms seem to segregate themselves based on race, exclude certain races from romantic and sexual consideration (except their own), and generally show a preference for white men and women. As collaborative filtering algorithms learn from these patterns to predict preferences and build recommendations, they can homogenize the behavior of dating app users and exacerbate biased sexual and romantic behavior.
期刊介绍：
Social Philosophy and Policy is an interdisciplinary journal with an emphasis on the philosophical underpinnings of enduring social policy debates. The issues are thematic in format, examining a specific area of concern with contributions from scholars in different disciplines, especially philosophy, economics, political science and law. While not primarily a journal of policy prescriptions, some articles in each issue will typically connect theory with practice. The 2006 issues are "Justice and Global Politics" and "Taxation, Economic Prosperity, and Distributive Justice". The 2007 issues will be "Liberalism: Old and New" and "Ancient Greek Political Theory".
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