Studying the effect of similarity in online task-focused interactions

Cosley, Dan; Ludford, Pamela; Terveen, Loren

doi:10.1145/958160.958212

Cited by 12 publications

(5 citation statements)

References 22 publications

(11 reference statements)

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“…The effects of SCT have also been found in online environments, where people tend to like and prefer to interact with those who are demographically similar to them (Cosley, Ludford, & Terveen, 2003). Ingroup preferences hold true even in conditions when the persuasive message comes from a 'virtual human' or a computer-created digital representation of a human in a virtual world (Guadagno, Blascovich, Bailenson, & McCall, 2007).…”

Section: Group Identification and Information Evaluationmentioning

confidence: 99%

Connecting with the user-generated Web: how group identification impacts online information sharing and evaluation

Flanagin

Hocevar

Samahito³

2013

Information, Communication & Society

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Online information pools, such as user-generated encyclopedias and websites that aggregate users' ratings of various products and experiences, are increasingly popular venues where people seek out and share information. While cues about the identity of information sources may be limited in these venues, they may nonetheless incite a sense of shared group membership and social identity among users. This study applies Social Identity Theory and Self-Categorization Theory to examine the effects of group identification on people's information contribution and evaluation behaviors in online information pools. Experimental results indicate that shared group identification positively influences motivation, which in turn influences contribution to information pools. Additionally, people tend to find information contributed by similar others to be more credible and they are also more likely to indicate that they will act on this information. The implications of these findings on the sustenance of information pools, and for information sharing in the contemporary media environment more broadly, are discussed.

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Section: Group Identification and Information Evaluationmentioning

confidence: 99%

Connecting with the user-generated Web: how group identification impacts online information sharing and evaluation

Flanagin

Hocevar

Samahito³

2013

Information, Communication & Society

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“…Providing information about the importance of one's information for other members was shown to enhance the quality of information exchange in laboratory setting (Cress, Kimmerle, & Hesse, ). Likewise, field studies in the context of online communities demonstrated the positive consequences of, on the one hand, homogeneity of the group, and on the other hand, feedback concerning uniqueness of contribution for participation (Cosley, Ludford, & Terveen, ; Ling et al, ; Ludford, Cosley, Frankowski, & Terveen, ; Rashid et al, ). It might appear to be difficult to balance members' similarity as well as uniqueness in member profiles, but in the end, profiles should enable to transport those characteristics members share with the group (e.g., shared demographic characteristics, interest, attitude, value, or taste).…”

Section: Function Of Profiles and Profile Designmentioning

confidence: 99%

What to Tell About Me? Self-Presentation in Online Communities

Schwämmlein¹,

Wodzicki²

2012

J Comput-Mediat Comm

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Managing self-presentation in online communities is an integral part of private and professional life. In member profiles on social networking sites such as Facebook, people disclose intimate details that deliver a rich picture of their personality and tell stories about recent activities with colleagues, family, and friends. In communities such as Wikipedia, people selectively present personal information that is related to their effort within the community, for example, information about their interests, expertise, or professional activities. Finally, online self-presentation enables initiation of interaction, building relationships, and access to knowledge resources. The kind of personal information people present about themselves differs to a high degree between communities (Le, Beschastnikh, & McDonald, 2010;Schrammel, Köffel, & Tscheligi, 2009). Nevertheless, we do not know much about the factors that explain these differences. Are differences in self-presentation just a consequence of different opportunities to present oneself through predefined profile fields? Indeed, profiles in different communities vary in layout, content, and format. However, communities also support different kinds of interactions among their members: Social networking sites, on the one hand, support getting and staying in contact with family, friends, and colleagues. Communities focusing on content creation, on the other hand, support sharing and developing knowledge and ideas. This paper investigates whether people adapt their self-presentation in online communities to different interaction situations, independent of the profile template the community offers. For this purpose, we build on the theoretical distinction between common-bond and common-identity groups

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“…This project uses social science theories concerning motivation to design systems that increase participation in online communities. We have studied how contributions to groups are affected by goal-setting [1], knowing who benefits from a contribution [26,34], the effect of similarity to other group members [9,27], linguistic characteristics of discussion posts [18], the costs and benefits of contributing [13], and editorial review [6]. Here, we bring Commu-nityLab techniques to bear on the challenge of intelligent task routing.…”

Section: Intelligent Task Routing Theory and Practicementioning

confidence: 99%

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Cosley

Frankowski

Terveen

et al. 2007

Proceedings of the 12th International Conference on Intelligent User Interfaces

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186

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Member-maintained communities ask their users to perform tasks the community needs. From Slashdot, to IMDb, to Wikipedia, groups with diverse interests create communitymaintained artifacts of lasting value (CALV) that support the group's main purpose and provide value to others. Said communities don't help members find work to do, or do so without regard to individual preferences, such as Slashdot assigning meta-moderation randomly. Yet social science theory suggests that reducing the cost and increasing the personal value of contribution would motivate members to participate more.We present SuggestBot, software that performs intelligent task routing (matching people with tasks) in Wikipedia. Sug-gestBot uses broadly applicable strategies of text analysis, collaborative filtering, and hyperlink following to recommend tasks. SuggestBot's intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles. Our contributions are: 1) demonstrating the value of intelligent task routing in a real deployment; 2) showing how to do intelligent task routing; and 3) sharing our experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research.

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Studying the effect of similarity in online task-focused interactions

Cited by 12 publications

References 22 publications

Connecting with the user-generated Web: how group identification impacts online information sharing and evaluation

Connecting with the user-generated Web: how group identification impacts online information sharing and evaluation

What to Tell About Me? Self-Presentation in Online Communities

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