Andrew T. Fiore
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Featured researches published by Andrew T. Fiore.
human factors in computing systems | 2001
Marc A. Smith; Andrew T. Fiore
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.
human factors in computing systems | 2008
Andrew T. Fiore; Lindsay Shaw Taylor; G. A. Mendelsohn; Marti A. Hearst
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.
human factors in computing systems | 2004
Andrew T. Fiore; Judith S. Donath
Online personal advertisements have recently become an easy, socially acceptable way to meet partners for dates or relationships. Because popular personals systems not only reflect but also have the potential to reshape how people attract one another, date, and fall in love, the design of these systems merits careful consideration. We present a survey of current styles of online personals, including searchable profile listings, personality matching, and social network systems. Finally, we encourage the community to study this booming phenomenon.
New Media & Society | 2014
Nicole B. Ellison; Rebecca Gray; Cliff Lampe; Andrew T. Fiore
Facebook-enabled resource mobilization attempts—broadcasted status updates in which people ask questions or request information, favors, or other forms of assistance from one’s network—can provide insight into social capital dynamics as they unfold on Facebook. Specifically, these requests and the responses they receive can serve as a window into how, why, and with what results individuals turn to their Friends network for help. In this study, we synthesize the existing research on resource mobilization requests via Facebook and present new analyses of survey data collected from a random sample of Facebook users who have made any post in the past 28 days (n = 573) and a sample of those who have posted a mobilization request in the past 28 days (n = 1074). To identify mobilization requests, an automated classifier trained on a hand-labeled sample of public status updates was used. Using participants’ self-reported survey data and server-level behavioral data, we examine how mobilization request behaviors relate to perceptions of bridging and bonding social capital, participants’ perceptions of Facebook’s utility regarding these requests, and related variables such as engagement in Facebook Relational Maintenance Behaviors. We find that those who post mobilization requests on Facebook report higher social capital, are more likely to try to respond to Friends’ expressed needs, and tend to see the site as a better source of information, coordination, and networked communication.
hawaii international conference on system sciences | 2010
Andrew T. Fiore; Lindsay Shaw Taylor; Xiaomeng Zhong; G. A. Mendelsohn; Coye Cheshire
In this analysis of profiles and messaging behavior on a major online dating service, we find that, consistent with predictions of evolutionary psychology, women as compared to men state more restrictive preferences for their ideal date. Furthermore, women contact and reply to others more selectively than men. Additionally, we identify connections among messaging behavior, textual self-descriptions in dating profiles, and relationship-relevant traits such as neuroticism.
Personality and Social Psychology Bulletin | 2011
Lindsay Shaw Taylor; Andrew T. Fiore; G. A. Mendelsohn; Coye Cheshire
The matching hypothesis predicts that individuals on the dating market will assess their own self-worth and select partners whose social desirability approximately equals their own. It is often treated as well established, despite a dearth of empirical evidence to support it. In the current research, the authors sought to address conceptual and methodological inconsistencies in the extant literature and to examine whether matching occurs as defined by Walster et al. and more generally. Using data collected in the laboratory and from users of a popular online dating site, the authors found evidence for matching based on self-worth, physical attractiveness, and popularity, but to different degrees and not always at the same stage of the dating process.
International Journal of Social Research Methodology | 2017
Charles Q. Lau; Melissa Baker; Andrew T. Fiore; Diana Greene; Min Lieskovsky; Kim Matu; Emilia Peytcheva
Abstract Survey researchers are increasingly concerned that the presence of other people (bystanders) may affect data quality in structured, face-to-face survey interviews. In this article, we study bystanders using data from 15,309 face-to-face surveys about technology from Ghana, Nigeria, Uganda, Brazil and Guatemala. Our analysis (1) describes the frequency of bystander presence (spouses, parents, other family and non-family members), (2) investigates the correlates of bystander presence, and (3) studies whether bystanders affect response distributions, ‘don’t know’ responses, and satisficing behavior. We also consider the influence of other environmental factors – noise and distractions – on interviewer–respondent interaction and satisficing. The results are encouraging for the field of survey research. Bystanders did not affect response distributions, the number of ‘don’t know’ responses, or satisficing behavior. Although noise negatively affected interviewer–respondent interactions, noise did not affect data quality. Our research suggests that for less sensitive topics, bystanders have limited influence, and also that respondents and interviewers are resilient to challenges such as noisy environments.
Ethnographic Praxis in Industry Conference Proceedings | 2015
Min Lieskovsky; Lufi Paris; Andrew T. Fiore
Understanding Internet connectivity in remote regions presents a host of logistical and methodological challenges. As researchers and business professionals, we cannot just assume that these places are simply Unconnected. We must understand the challenges people face in connecting, in what ways they have connectivity, and in what ways they do not. This paper examines research methods and framing to investigate Internet connectivity options for residents of the diverse terrain of the Himalayan foothills.
Internet and Higher Education | 2012
David C. DeAndrea; Nicole B. Ellison; Robert LaRose; Charles Steinfield; Andrew T. Fiore
human factors in computing systems | 2005
Andrew T. Fiore; Judith S. Donath