Nathan TeBlunthuis

schoolUniversity Of Washingtonbar_chart#3457 Global Rank

Total Papers

HCI Rank

#3457

Research Areas

Years Active

Recent Publications

No Community Can Do Everything: Why People Participate in Similar Online Communities

Large-scale quantitative analyses have shown that individuals frequently talk to each other about similar thingsin different online spaces. Why do these overlapping communities exist? We provide an answer grounded inthe analysis of 20 interviews with active participants in clusters of highly related subreddits: Within…

CSCW '211st AuthorSpecialist and Collaborative Work // Algorithmic Fairness

Effects of Algorithmic Flagging on Fairness: Quasi-experimental Evidence from Wikipedia

Online community moderators often rely on social signals like whether or not a user has an account or a profile page as clues that users are likely to cause problems. Reliance on these clues may lead to ``over-profiling'' bias when moderators focus on these signals but overlook misbehavior by others. We propose that a…

CSCW '192nd AuthorWikis and Wikipedia

All Talk: How Increasing Interpersonal Communication on Wikis May Not Enhance Productivity

Prior research suggests that facilitating easier communication in social computing systems will increase both interpersonal interactions as well as group productivity. This study tests these claims by examining the impact of a new communication feature called "message walls'' that allows for faster and more intuitive…

CHI '181st AuthorCommunity Collaboration & Wikipedia +1

Revisiting “The Rise and Decline” in a Population of Peer Production Projects

Do patterns of growth and stabilization found in large peer production systems such as Wikipedia occur in other communities? This study assesses the generalizability of Halfaker et al.'s influential 2013 paper on “The Rise and Decline of an Open Collaboration System.” We replicate its tests of several theories related…

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