Brian Keegan

From WikiPapers
Jump to: navigation, search

Brian Keegan is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Hot Off the Wiki: Structures and Dynamics of Wikipedia's Coverage of Breaking News Events Collaboration
News
Social network
Wikipedia
American Behavioral Scientist English 2013 Wikipedia's coverage of breaking news and current events dominates editor contributions and reader attention in any given month. Collaborators on breaking news articles rapidly synthesize content to produce timely information in spite of steep coordination demands. Wikipedia's coverage of breaking news events thus presents a case to test theories about how open collaborations coordinate complex, time-sensitive, and knowledge-intensive work in the absence of central authority, stable membership, clear roles, or reliable information. Using the revision history from Wikipedia articles about over 3,000 breaking news events, we investigate the structure of interactions between editors and articles. Because breaking article collaborations unfold more rapidly and involve more editors than most Wikipedia articles, they potentially regenerate prior forms of organizing. We analyze whether the structures of breaking and nonbreaking article networks are (a) similarly structured over time, (b) exhibit features of organizational regeneration, and (c) have similar collaboration dynamics over time. Breaking and nonbreaking article exhibit similarities in their structural characteristics over the long run, and there is less evidence of organizational regeneration on breaking articles than nonbreaking articles. However, breaking articles emerge into well-connected collaborations more rapidly than nonbreaking articles, suggesting early contributors play a crucial role in supporting these high-tempo collaborations. 0 0
Staying in the Loop: Structure and Dynamics of Wikipedia's Breaking News Collaborations Wikipedia
High-tempo collaboration
Network analysis
Breaking news
Collaboration
Multigraph
WikiSym English August 2012 Despite the fact that Wikipedia articles about current events are more popular and attract more contributions than typical articles, canonical studies of Wikipedia have only analyzed articles about pre-existing information. We expect the co-authoring of articles about breaking news incidents to exhibit high-tempo coordination dynamics which are not found in articles about historical events and information. Using 1.03 million revisions made by 158,384 users to 3,233 English Wikipedia articles about disasters, catastrophes, and conflicts since 1990, we construct “article trajectories” of editor interactions as they coauthor an article. Examining a subset of this corpus, our analysis demonstrates that articles about current events exhibit structures and dynamics distinct from those observed among articles about non-breaking events. These findings have implications for how collective intelligence systems can be leveraged to process and make sense of complex information. 0 0
Do editors or articles drive collaboration? Multilevel statistical network analysis of wikipedia coauthorship Co-authorship
Collaboration
Ergm
Exponential random graph model
Network analysis
Socio-material
Wikipedia
English 2012 Prior scholarship on Wikipedia's collaboration processes has examined the properties of either editors or articles, but not the interactions between both. We analyze the coauthorship network of Wikipedia articles about breaking news demanding intense coordination and compare the properties of these articles and the editors who contribute to them to articles about contemporary and historical events. Using p*/ERGM methods to test a multi-level, multi-theoretical model, we identify how editors' attributes and editing patterns interact with articles' attributes and authorship history. Editors' attributes like prior experience have a stronger influence on collaboration patterns, but article attributes also play significant roles. Finally, we discuss the implications our findings and methods have for understanding the socio-material duality of collective intelligence systems beyond Wikipedia. 0 1
Staying in the loop: Structure and dynamics of Wikipedia's breaking news collaborations Breaking news
Collaboration
High-tempo collaboration
Multigraph
Network analysis
Wikipedia
WikiSym 2012 English 2012 Despite the fact that Wikipedia articles about current events are more popular and attract more contributions than typical articles, canonical studies of Wikipedia have only analyzed articles about pre-existing information. We expect the co-authoring of articles about breaking news incidents to exhibit high-tempo coordination dynamics which are not found in articles about historical events and information. Using 1.03 million revisions made by 158,384 users to 3,233 English Wikipedia articles about disasters, catastrophes, and conflicts since 1990, we construct "article trajectories" of editor interactions as they coauthor an article. Examining a subset of this corpus, our analysis demonstrates that articles about current events exhibit structures and dynamics distinct from those observed among articles about non-breaking events. These findings have implications for how collective intelligence systems can be leveraged to process and make sense of complex information. 0 0
What aren't we measuring?: Methods for quantifying wiki-work Measure
Method
Metric
Open collaboration
Peer production
Wiki
WikiSym 2012 English 2012 Wikis and other open collaboration systems rely on the work of contributors to survive. But what is work and how do we quantify it? Answering this question in the right context is essential for attaining robust and generalizable results across open contribution systems. Our goal is to develop a repertoire of metrics and understand their possible dimensions in order to refine our ability as a research community to measure wikis and wiki activity appropriately across a wide range of contexts. This panel explores the current practice of measuring work in wikis, offers perspectives about the limitations of current approaches and suggests new opportunities for measuring contribution behavior. 0 0
Hot off the Wiki: Dynamics, Practices, and Structures in Wikipedia’s Coverage of the Tōhoku Catastrophes Wikipedia
Breaking news
Current events
Network analysis
Bipartite network
Emergent group
High tempo
Collaboration
WikiSym English 2011 Wikipedia editors are uniquely motivated to collaborate around current and breaking news events. However, the speed, urgency, and intensity with which these collaborations unfold also impose a substantial burden on editors’ abilities to effectively coordinate tasks and process information. We analyze the patterns of activity on Wikipedia following the 2011 Tōhoku earthquake and tsunami to understand the dynamics of editor attention and participation, novel practices employed to collaborate on these articles, and the resulting coauthorship structures which emerge between editors and articles. Our findings have implications for supporting future coverage of breaking news articles, theorizing about motivations to participate in online community, and illuminating Wikipedia’s potential role in storing cultural memories of catastrophe. 0 0
Egalitarians at the gate: One-sided gatekeeping practices in social media Collaboration
Decision-making
Deliberation
Gatekeeping
Social computing
Wiki
Wikipedia
English 2010 Although Wikipedia has increasingly attracted attention for its in-depth and timely coverage of breaking news stories, the social dynamics of how Wikipedia editors process breaking news items has not been systematically examined. Through a 3-month study of 161 deliberations over whether a news item should appear on Wikipedia's front page, we demonstrate that elite users fulfill a unique gatekeeping role that permits them to leverage their community position to block the promotion of inappropriate items. However, these elite users are unable to promote their supported news items more effectively than other types of editors. These findings suggest that "one-sided gatekeeping" may reflect a crucial stasis in social media where the community has to balance the experience of its elite users while encouraging contributions from non-elite users. Copyright 2010 ACM. 0 1