Romantic regressions : an analysis of behavior in online dating systems

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2004.

Bibliographic Details
Main Author: Fiore, Andrew Rocco Tresolini, 1979-
Other Authors: Judith S. Donath.
Format: Thesis
Language:en_US
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/28773
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author Fiore, Andrew Rocco Tresolini, 1979-
author2 Judith S. Donath.
author_facet Judith S. Donath.
Fiore, Andrew Rocco Tresolini, 1979-
author_sort Fiore, Andrew Rocco Tresolini, 1979-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2004.
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spelling mit-1721.1/287732019-04-12T11:53:45Z Romantic regressions : an analysis of behavior in online dating systems Fiore, Andrew Rocco Tresolini, 1979- Judith S. Donath. Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences. Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences. Architecture. Program in Media Arts and Sciences. Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2004. Includes bibliographical references (p. 65-68). Online personal advertisements have shed their stigma as matchmakers for the awkward to claim a prominent role in the social lives of millions of people. Web sites for online dating allow users to post lengthy personal ads, including text and photos; search the database of users for potential romantic partners; and contact other users through a private messaging system. This work begins with psychological and sociological perspectives on online dating and discusses the various types of online dating Web sites. Next, it presents an analysis of user behavior on one site in particular, which has more than 57,000 active users from the United States and Canada. A demographic description of the population is given, and then 250,000 messages exchanged by the active users over an eight-month period are analyzed. An examination of which characteristics are "bounding" finds that life course attributes such as marital status and whether one wants children are most likely to be the same across the two users in a dyadic interaction. To understand which characteristics are important to users in deciding whom to contact, regression models show the relative strength of a variety of attributes in predicting how many messages a user with those attributes will receive. By far the strongest predictor of messages received is the number of messages sent. For men, age, educational level, and self-rated physical attractiveness are the next most important qualities. For women, they are not being overweight, self-rated physical attractiveness, and having a photo. Finally, a discussion of the design implications of these findings and other design issues follow the results. Andrew Rocco Tresolini Fiore. S.M. 2005-09-27T18:16:02Z 2005-09-27T18:16:02Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28773 60128830 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 90 p. 3084841 bytes 3094833 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Architecture. Program in Media Arts and Sciences.
Fiore, Andrew Rocco Tresolini, 1979-
Romantic regressions : an analysis of behavior in online dating systems
title Romantic regressions : an analysis of behavior in online dating systems
title_full Romantic regressions : an analysis of behavior in online dating systems
title_fullStr Romantic regressions : an analysis of behavior in online dating systems
title_full_unstemmed Romantic regressions : an analysis of behavior in online dating systems
title_short Romantic regressions : an analysis of behavior in online dating systems
title_sort romantic regressions an analysis of behavior in online dating systems
topic Architecture. Program in Media Arts and Sciences.
url http://hdl.handle.net/1721.1/28773
work_keys_str_mv AT fioreandrewroccotresolini1979 romanticregressionsananalysisofbehaviorinonlinedatingsystems