CHI '04 Extended Abstracts on Human Factors in Computing Systems
Judging you by the company you keep: dating on social networking sites
Proceedings of the 2007 international ACM conference on Supporting group work
Assessing attractiveness in online dating profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Friends and foes: ideological social networking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pick me!: link selection in expertise search results
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Me, myself and I: The role of interactional context on self-presentation through avatars
Computers in Human Behavior
Scalable learning of collective behavior based on sparse social dimensions
Proceedings of the 18th ACM conference on Information and knowledge management
You are who you know: inferring user profiles in online social networks
Proceedings of the third ACM international conference on Web search and data mining
Cooperation and competition dynamics in an online game community
OCSC'07 Proceedings of the 2nd international conference on Online communities and social computing
RECON: a reciprocal recommender for online dating
Proceedings of the fourth ACM conference on Recommender systems
Factors mediating disclosure in social network sites
Computers in Human Behavior
Leveraging social media networks for classification
Data Mining and Knowledge Discovery
Group Profiling for Understanding Social Structures
ACM Transactions on Intelligent Systems and Technology (TIST)
Not just a wink and smile: an analysis of user-defined success in online dating
Proceedings of the 2012 iConference
A study of homophily on social media
World Wide Web
Human mate choice is a complex system
Complexity
Online dating recommender systems: the split-complex number approach
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
Disclosure, ambiguity and risk reduction in real-time dating sites
Proceedings of the 17th ACM international conference on Supporting group work
An Adaptive Match-Making System reflecting the explicit and implicit preferences of users
Expert Systems with Applications: An International Journal
Combating homophily through design
Proceedings of the 2013 conference on Computer supported cooperative work companion
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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 65,000 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 in self-reported physical build, physical attractiveness, and smoking habits.