Publication statistics

Pub. period:2001-2011
Pub. count:5
Number of co-authors:7


Number of publications with 3 favourite co-authors:

Marti A. Hearst:
Coye Cheshire:
G. A. Mendelsohn:



Productive colleagues

Andrew T. Fiore's 3 most productive colleagues in number of publications:

Marti A. Hearst:23
Judith S. Donath:23
Marc A. Smith:15

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Andrew T. Fiore

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Andrew T. Fiore is pursuing a Ph.D. in Information Management and Systems at UC-Berkeley, where he studies online dating behavior, including attraction, relationship formation, and relationship outcomes. 


Publications by Andrew T. Fiore (bibliography)

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Fiore, Andrew T., Taylor, Lindsay Shaw, Mendelsohn, G. A. and Cheshire, Coye (2011): Predicting relationship outcomes in online dating: a longitudinal survey. In: Proceedings of the 2011 iConference 2011. pp. 670-671.

This poster presents preliminary results from a longitudinal survey of online dating users. Participants' initial online and subsequent offline impressions of their dates were used to predict both relationship duration in weeks and relationship quality metrics, including perceived intimacy and relationship satisfaction, two weeks after the first meeting. We find that impressions assessed before online daters met in person did not predict relationship duration, but they did predict metrics of relationship quality.

© All rights reserved Fiore et al. and/or ACM Press

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Fiore, Andrew T., Taylor, Lindsay Shaw, Mendelsohn, G. A. and Hearst, Marti A. (2008): Assessing attractiveness in online dating profiles. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 797-806.

Online dating systems play a prominent role in the social lives of millions of their users, but little research has considered how users perceive one another through their personal profiles. We examined how users perceive attractiveness in online dating profiles, which provide their first exposure to a potential partner. Participants rated whole profiles and profile components on such qualities as how attractive, extraverted, and genuine and trustworthy they appeared. As past research in the psychology of attraction would suggest, the attractiveness and other qualities of the photograph were the strongest predictors of whole profile attractiveness, but they were not alone: the free-text component also played an important role in predicting overall attractiveness. In turn, numerous other qualities predicted the attractiveness ratings of photos and free-text components, albeit in different ways for men and women. The fixed-choice elements of a profile, however, were unrelated to attractiveness.

© All rights reserved Fiore et al. and/or ACM Press

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Fiore, Andrew T. and Donath, Judith S. (2005): Homophily in online dating: when do you like someone like yourself?. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 1371-1374.

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.

© All rights reserved Fiore and Donath and/or ACM Press

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Fiore, Andrew T., Tiernan, Scott Lee and Smith, Marc A. (2002): Observed behavior and perceived value of authors in usenet newsgroups: bridging the gap. In: Terveen, Loren (ed.) Proceedings of the ACM CHI 2002 Conference on Human Factors in Computing Systems Conference April 20-25, 2002, Minneapolis, Minnesota. pp. 323-330.

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Smith, Marc A. and Fiore, Andrew T. (2001): Visualization Components for Persistent Conversations. In: Beaudouin-Lafon, Michel and Jacob, Robert J. K. (eds.) Proceedings of the ACM CHI 2001 Human Factors in Computing Systems Conference March 31 - April 5, 2001, Seattle, Washington, USA. pp. 136-143.

An appropriately designed interface to persistent, threaded conversations could reinforce socially beneficial behavior by prominently featuring how frequently and to what degree each user exhibits such behaviors. Based on the data generated by the Netscan data-mining project [9], we have developed a set of tools for illustrating the structure of discussion threads like those found in Usenet newsgroups and the patterns of participation within the discussions. We describe the benefits and challenges of integrating these tools into a multi-faceted dashboard for navigating and reading discussions in social cyberspaces like Usenet and related interaction media. Visualizations of the structure of online discussions have applications for research into the sociology of online groups as well as possible interface designs for their members.

© All rights reserved Smith and Fiore and/or ACM Press

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