Homophily in online dating: when do you like someone like yourself?
CHI '05 Extended Abstracts on Human Factors in Computing Systems
The truth about lying in online dating profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Assessing attractiveness in online dating profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Computers in Human Behavior
Who's Right and Who Writes: People, Profiles, Contacts, and Replies in Online Dating
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Relevance and ranking in online dating systems
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Reciprocal recommender system for online dating
Proceedings of the fourth ACM conference on Recommender systems
A Social Matching System for an Online Dating Network: A Preliminary Study
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
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This study examines the publically available stories of self-identified successful couples that met using the online dating services Match.com, eHarmony, or OkCupid. We enumerate four main findings; 1) the distribution of relationship status (Dating, Engaged, Married) varies among websites, 2) approximately half of all stories explicitly thank the service they used, 3) the locations of successful couples from Match.com and eHarmony are not statistically different when analyzed at a regional level, and 4) while the distribution of these couples follows general population trends, there are low population density islands where many self-identified successful couples live. These findings, coupled with a review of the existing literature, establish the context for future research into the technological and societal contexts in which online dating exists. This research has broad impacts of informing the design and development of online dating websites and other information and communication technologies (ICTs) such as social networking sites.