Homophily in online dating: when do you like someone like yourself? Share on. Authors: Andrew T. Fiore. MIT Media Laboratory, Cambridge, MA. MIT Media Laboratory, Cambridge, MA. View Profile An analysis of dyadic interactions of approximately 65, heterosexual users of an online dating system in the U.S. showed that, despite these differences, users of the system sought people like We conducted two studies: (1) an experiment in which we randomly manipulated the political characteristics of online dating profiles presented to participants and (2) an analysis of communication behavior in a large, national online dating community. The two studies have nonoverlapping strengths and weaknesses for identifying choice-based political homophily. The first study maximizes internal Cited by:
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MIT Media Laboratory, Cambridge, MA. Please log in to your account. Psychologists have found that actual and perceived similarity between potential romantic partners in demographics, attitudes, values, and attractiveness correlate positively with attraction and, later, relationship satisfaction.
Online dating systems provide a new way for users to identify and communicate with potential partners, but the information they provide differs dramatically from what a person might glean from face-to-face interaction.
An analysis of dyadic interactions of approximately 65, heterosexual users of an online dating system in the U. showed that, homophily in online dating, despite these differences, users of the system sought people like them much more often than chance would predict, homophily in online dating, just as in the offline world. The users' preferences were most strongly same-seeking for attributes related to the life course, like marital history and whether one wants children, but they also demonstrated significant homophily in self-reported physical build, physical attractiveness, and smoking habits.
Human-centered computing. Human computer interaction HCI. Interaction paradigms. Web-based interaction. Check if you have access through your login credentials or your institution to get full access on this article. Homophily in online dating: when do you like someone like yourself? Authors: Andrew T. MIT Media Laboratory, Cambridge, MA View Profile. Judith S. Get Citation Alerts New Citation Alert added! This alert has been successfully added and will be sent to: You will be notified whenever a homophily in online dating that you have chosen has been cited.
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Sign in. Full Access Get this Publication. Information Contributors Published in. CHI EA ' CHI '05 Extended Abstracts on Human Factors in Computing Systems. ISBN: DOI: Conference Chair: Gerrit van der Veer Vrije Universiteit, The NetherlandsProgram Chair: Carolyn Gale Stanford University, Stanford, CA.
Association for Computing Machinery New York, NY, United States. Publication History Published: 2 April Permissions Request permissions about this article. Request Permissions. Author Tags attraction online dating online personals relationships computer-mediated communication. Qualifiers Article. Upcoming Conference CHI PLAY '21 Sponsor: sigchi. CHI PLAY ' The Annual Symposium on Computer-Human Interaction in Play October 18 - 21, Funding Sources.
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An analysis of dyadic interactions of approximately 65, heterosexual users of an online dating system in the U.S. showed that, despite these differences, users of the system sought people like them much more often than chance would predict, just as in the offline world. The users' preferences were most strongly same-seeking for attributes related to the life course, like marital history and whether one wants children, but they also demonstrated significant homophily Cited by: To date, much of the work on online dating behavior has explored a phenomenon that is extremely well-documented in the sociological literature: across virtually every human choice network, there is evidence of homophily: people se-lect exchange partners who are similar to them (McPherson, Smith-Lovin, and Cook ; Blossfeld ) This article examines age homophily on a Czech online dating site using real user data. With a sample of 10 unique users and the aid of negative binomial With a sample of 10 unique users and the aid of negative binomial
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