DocumentCode
2195820
Title
Social and Personal Disclosure in a Location-Based Real Time Dating App
Author
Fitzpatrick, Colin ; Birnholtz, Jeremy ; Brubaker, Jed R.
Author_Institution
Northwestern Univ., Evanston, IL, USA
fYear
2015
fDate
5-8 Jan. 2015
Firstpage
1983
Lastpage
1992
Abstract
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 to disclose a face, and higher body mass index (BMI) users, users who disclose relationship status, and users who are seeking friends or relationships are more likely to disclose a face. We frame and discuss these results in relation to literature on location norms, body image, race relations, and social stigma, and propose future work to investigate these findings, particularly those of race, relationship status, and goals, in qualitative depth.
Keywords
data privacy; mobile computing; regression analysis; social aspects of automation; social networking (online); location-based real time dating app; logistic regression models; personal disclosure; profile photos; social disclosures; Cities and towns; Computational modeling; Context; Face; Logistics; Real-time systems; Torso; disclosure; identity; location; logistic regression; photos; profiles;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location
Kauai, HI
ISSN
1530-1605
Type
conf
DOI
10.1109/HICSS.2015.237
Filename
7070049
Link To Document