activity
20202025
most citedNo Community Can Do Everything: Why People Participate in Similar Online Communities

29 citations · 46 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CY2025★ 1 cited

AI Didn't Start the Fire: Examining the Stack Exchange Moderator and Contributor Strike

Yiwei Wu, Leah Ajmani, Nathan TeBlunthuis +1

Online communities and their host platforms are mutually dependent yet conflict-prone. When platform policies clash with community values, communities have resisted through strikes…

cs.HC2025

The Relational Origins of Rules in Online Communities

Charles Kiene, Sohyeon Hwang, Nathan TeBlunthuis +3

Where do rules come from in online communities? This study investigates how and why online communities adopt and change their rules. We conducted a grounded theory-based analysis o…

cs.SI2025

Niche Dynamics in Complex Online Community Ecosystems

Nathan TeBlunthuis

Online communities are important organizational forms where members socialize and share information. Curiously, different online communities often overlap considerably in topic and…

cs.SI2024

The Effects of Group Sanctions on Participation and Toxicity: Quasi-experimental Evidence from the Fediverse

Carl Colglazier, Nathan TeBlunthuis, Aaron Shaw

Online communities often overlap and coexist, despite incongruent norms and approaches to content moderation. When communities diverge, decentralized and federated communities may…

cs.SI2022★ 29 cited

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

Nathan TeBlunthuis, Charles Kiene, Isabella Brown +3

Large-scale quantitative analyses have shown that individuals frequently talk to each other about similar things in different online spaces. Why do these overlapping communities ex…

cs.HC2021★ 12 cited

Identifying Competition and Mutualism Between Online Groups

Nathan TeBlunthuis, Benjamin Mako Hill

Platforms often host multiple online groups with overlapping topics and members. How can researchers and designers understand how related groups affect each other? Inspired by popu…

cs.CY2020★ 1 cited

How individual behaviors drive inequality in online community sizes: an agent-based simulation

Jeremy Foote, Nathan TeBlunthuis, Benjamin Mako Hill +1

Why are online community sizes so extremely unequal? Most answers to this question have pointed to general mathematical processes drawn from physics like cumulative advantage. Thes…

cs.CY2020★ 3 cited

Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia

Nathan TeBlunthuis, Benjamin Mako Hill, Aaron Halfaker

Online community moderators often rely on social signals such as whether or not a user has an account or a profile page as clues that users may cause problems. Reliance on these cl…