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Social and Personal Disclosure in a Location-Based Real Time Dating App
2015 48th Hawaii International Conference on System Sciences
Users of location-based real time dating (LBRTD) apps must decide what to disclose in their profiles. Based on 25,365 profiles from one app, our study explores users whose profile photos disclose a face, a personal disclosure that identifies them as an individual, in relation to available social disclosures, those that do not identify them as an individual. Using logistic regression models with face disclosure as the outcome, we find: older users, and users who share race are less likely todoi:10.1109/hicss.2015.237 dblp:conf/hicss/FitzpatrickBB15 fatcat:sewkib5pbvci3cu27likj4dctm