Aniket Kittur

Aniket Kittur (Alternative names for this author)
Affiliation	Unknown [+]
Country	United States
Co-authors	Aaron Halfaker, Bongwon Suh, Bryan A. Pendleton, Ed H. Chi, Haiyi Zhu, Jeffrey Rzeszotarski, John Riedl, Robert E. Kraut, Yi C. Wang
Website	http://kittur.org/
Statistics
Authorship	Publications (12), datasets (0), tools (0)
Citations	Total (32), average (2.66666666667), median (1.5), max (16), min (0)
Keywords
Annotation Applied machine learning Collaboration Collective intelligence Conflict Coordination Distributed cognition Distributed collaboration Experience Mapping Motivation Online production Ownership Peer Peer review Productivity Quality Revert Reverted work Social computing Visualisation Wiki Wikipedia WikiWork
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Aniket Kittur is an author from United States.

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
Learning from history: predicting reverted work at the word level in wikipedia	Applied machine learning Reverted work Wikipedia	Computer-Supported Cooperative Work	English	2012		0	0
Don't bite the newbies: how reverts affect the quantity and quality of Wikipedia work	WikiWork Wikipedia Experience Motivation Productivity Quality Revert	WikiSym	English	2011	Reverts are important to maintaining the quality of Wikipedia. They fix mistakes, repair vandalism, and help enforce policy. However, reverts can also be damaging, especially to the aspiring editor whose work they destroy. In this research we analyze 400,000 Wikipedia revisions to understand the effect that reverts had on editors. We seek to understand the extent to which they demotivate users, reducing the workforce of contributors, versus the extent to which they help users improve as encyclopedia editors. Overall we find that reverts are powerfully demotivating, but that their net influence is that more quality work is done in Wikipedia as a result of reverts than is lost by chasing editors away. However, we identify key conditions – most specifically new editors being reverted by much more experienced editors – under which reverts are particularly damaging. We propose that reducing the damage from reverts might be one effective path for Wikipedia to solve the newcomer retention problem.	0	0
Identifying shared leadership in Wikipedia		Proceedings of the 2011 annual conference on Human factors in computing systems	English	2011	In this paper, we introduce a method to measure shared leadership in Wikipedia as a step in developing a new model of online leadership. We show that editors with varying degrees of engagement and from peripheral as well as central roles all act like leaders, but that core and peripheral editors show different profiles of leadership behavior. Specifically, we developed machine learning models to automatically identify four types of leadership behaviors from 4 million messages sent between Wikipedia editors. We found strong evidence of shared leadership in Wikipedia, with editors in peripheral roles producing a large proportion of leadership behaviors.	4	1
Beyond Wikipedia: Coordination and Conflict in Online Production Groups	Wiki Wikipedia Coordination Conflict Social computing Collective intelligence Distributed cognition Collaboration Online production	Computer-Supported Cooperative Work	English	2010	Online production groups have the potential to transform the way that knowledge is produced and disseminated. One of the most widely used forms of online production is the wiki, which has been used in domains ranging from science to education to enterprise. We examined the development of and interactions between coordination and conflict in a sample of 6811 wiki production groups. We investigated the influence of four coordination mechanisms: intra-article communication, inter-user communication, concentration of workgroup structure, and policy and procedures. We also examined the growth of conflict, finding the density of users in an information space to be a significant predictor. Finally, we analyzed the effectiveness of the four coordination mechanisms on managing conflict, finding differences in how each scaled to large numbers of contributors. Our results suggest that coordination mechanisms effective for managing conflict are not always the same as those effective for managing task quality, and that designers must take into account the social benefits of coordination mechanisms in addition to their production benefits.	0	2
A Jury of Your Peers: Quality, Experience and Ownership in Wikipedia	WikiWork Wikipedia Experience Ownership Peer Peer review Quality	WikiSym	English	2009	Wikipedia is a highly successful example of what mass collaboration in an informal peer review system can accomplish. In this paper, we examine the role that the quality of the contributions, the experience of the contributors and the ownership of the content play in the decisions over which contributions become part of Wikipedia and which ones are rejected by the community. We introduce and justify a versatile metric for automatically measuring the quality of a contribution. We find little evidence that experience helps contributors avoid rejection. In fact, as they gain experience, contributors are even more likely to have their work rejected. We also find strong evidence of ownership behaviors in practice despite the fact that ownership of content is discouraged within Wikipedia.	0	3
What's in Wikipedia?: mapping topics and conflict using socially annotated category structure	Wikipedia Annotation Conflict Distributed collaboration Mapping Social computing Visualisation Wiki	CHI	English	2009		0	1
What’s in Wikipedia? Mapping Topics and Conflict Using Socially Annotated Category Structure			English	2009		0	0
Can you ever trust a wiki?: impacting perceived trustworthiness in Wikipedia			English	2008	Wikipedia has become one of the most important information resources on the Web by promoting peer collaboration and enabling virtually anyone to edit anything. However, this mutability also leads many to distrust it as a reliable source of information. Although there have been many attempts at developing metrics to help users judge the trustworthiness of content, it is unknown how much impact such measures can have on a system that is perceived as inherently unstable. Here we examine whether a visualization that exposes hidden article information can impact readers' perceptions of trustworthiness in a wiki environment. Our results suggest that surfacing information relevant to the stability of the article and the patterns of editor behavior can have a significant impact on users' trust across a variety of page types.	0	0
Harnessing the wisdom of crowds in Wikipedia: quality through coordination			English	2008	Wikipedia's success is often attributed to the large numbers of contributors who improve the accuracy, completeness and clarity of articles while reducing bias. However, because of the coordination needed to write an article collaboratively, adding contributors is costly. We examined how the number of editors in Wikipedia and the coordination methods they use affect article quality. We distinguish between explicit coordination, in which editors plan the article through communication, and implicit coordination, in which a subset of editors structure the work by doing the majority of it. Adding more editors to an article improved article quality only when they used appropriate coordination techniques and was harmful when they did not. Implicit coordination through concentrating the work was more helpful when many editors contributed, but explicit coordination through communication was not. Both types of coordination improved quality more when an article was in a formative stage. These results demonstrate the critical importance of coordination in effectively harnessing the "wisdom of the crowd" in online production environments.	0	2
Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard			English	2008	Wikis are collaborative systems in which virtually anyone can edit anything. Although wikis have become highly popular in many domains, their mutable nature often leads them to be distrusted as a reliable source of information. Here we describe a social dynamic analysis tool called WikiDashboard which aims to improve social transparency and accountability on Wikipedia articles. Early reactions from users suggest that the increased transparency afforded by the tool can improve the interpretation, communication, and trustworthiness of Wikipedia articles.	0	3
He says, she says: conflict and coordination in Wikipedia			English	2007	Wikipedia, a wiki-based encyclopedia, has become one of the most successful experiments in collaborative knowledge building on the Internet. As Wikipedia continues to grow, the potential for conflict and the need for coordination increase as well. This article examines the growth of such non-direct work and describes the development of tools to characterize conflict and coordination costs in Wikipedia. The results may inform the design of new collaborative knowledge systems.	0	16
Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations		Visual Analytics Science and Technology	English	2007	Wikipedia is a wiki-based encyclopedia that has become one of the most popular collaborative on-line knowledge systems. As in any large collaborative system, as Wikipedia has grown, conflicts and coordination costs have increased dramatically. Visual analytic tools provide a mechanism for addressing these issues by enabling users to more quickly and effectively make sense of the status of a collaborative environment. In this paper we describe a model for identifying patterns of conflicts in Wikipedia articles. The model relies on users' editing history and the relationships between user edits, especially revisions that void previous edits, known as "reverts". Based on this model, we constructed Revert Graph, a tool that visualizes the overall conflict patterns between groups of users. It enables visual analysis of opinion groups and rapid interactive exploration of those relationships via detail drill- downs. We present user patterns and case studies that show the effectiveness of these techniques, and discuss how they could generalize to other systems.	0	4