Amitava Dutta

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Amitava Dutta 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
Network analysis of user generated content quality in Wikipedia Hubs
Network analysis
Quality
Social computing
Social media
Structural holes
Web sites
Wikipedia
Wiki
Online Information Review English 2013 Purpose - Social media platforms allow near-unfettered creation and exchange of user generated content (UGC). Drawing from network science, the purpose of this paper is to examine whether high and low quality UGC differ in their connectivity structures in Wikipedia (which consists of interconnected user generated articles). Design/methodology/approach - Using Featured Articles as a proxy for high quality, a network analysis was undertaken of the revision history of six different language Wikipedias, to offer a network-centric explanation for the emergence of quality in UGC. Findings - The network structure of interactions between articles and contributors plays an important role in the emergence of quality. Specifically the analysis reveals that high-quality articles cluster in hubs that span structural holes. Research limitations/implications - The analysis does not capture the strength of interactions between articles and contributors. The implication of this limitation is that quality is viewed as a binary variable. Extensions to this research will relate strength of interactions to different levels of quality in UGC. Practical implications - The findings help harness the "wisdom of the crowds" effectively. Organisations should nurture users and articles at the structural hubs from an early stage. This can be done through appropriate design of collaborative knowledge systems and development of organisational policies to empower hubs. Originality/value - The network centric perspective on quality in UGC and the use of a dynamic modelling tool are novel. The paper is of value to researchers in the area of social computing and to practitioners implementing and maintaining such platforms in organisations. Copyright 0 0
Network Analysis of User Generated Content Quality in Wikipedia Wikipedia
Network analysis
Social computing
Structural holes
User generated content
Quality
Online Information Review 2012 Social media platforms allow near-unfettered creation and exchange of User Generated Content (UGC). We use Wikipedia, which consists of interconnected user generated articles. Drawing from network science, we examine whether high and low quality UGC in Wikipedia differ in their connectivity structures. Using featured articles as a proxy for high quality, we undertake a network analysis of the revision history of six different language Wikipedias to offer a network-centric explanation for the emergence of quality in UGC. The network structure of interactions between articles and contributors plays an important role in the emergence of quality. Specifically, the analysis reveals that high quality articles cluster in hubs that span structural holes. The analysis does not capture the strength of interactions between articles and contributors. The implication of this limitation is that quality is viewed as a binary variable. Extensions to this research will relate strength of interactions to different levels of quality in user generated content. Practical implications Our findings help harness the ‘wisdom of the crowds’ effectively. Organizations should nurture users and articles at the structural hubs, from an early stage. This can be done through appropriate design of collaborative knowledge systems and development of organizational policies to empower hubs. Originality The network centric perspective on quality in UGC and the use of a dynamic modeling tool are novel. The paper is of value to researchers in the area of social computing and to practitioners implementing and maintaining such platforms in organizations. 0 0
Drivers of Knowledge Contribution in Open Fora: Findings from Wikipedians Wikipedia
Open-content
Focus-group
Contribution
Ability
Motivation
Opportunity
Proceedings of 16th Americas Conference on Information Systems, 12-15 August 2010, Lima, Peru English 2010 Today’s social computing platforms include many open content fora where users voluntarily create and edit content online. This has opened up a new mechanism for knowledge acquisition raising related research questions, including identification of the reasons why people contribute to open fora. While altruism is mentioned most frequently, it has been suggested that there may be additional drivers in play. To explore this possibility, we examine contribution behavior in the Wikipedia context using qualitative data from two focus groups of Wikipedians. Content analysis of the data reveals a number of different drivers of contributor behavior which we then map into the Motivation-Ability-Opportunity (MAO) theoretical framework developed in the organizational behavior literature on work performance. The mapping can provide a theoretical basis for quantitative examination of contributor behavior and lead to more effective methods of managing collective knowledge in other open forum settings, such as corporate wikis.. 0 0
Do wiki-pages have parents?An article-level inquiry into wikipedia's inequalities Corporate wikis
Inequality
Knowledge management
Parenting
Wikipedia
19th Workshop on Information Technologies and Systems, WITS 2009 English 2009 We hypothesize that articles on Wikipedia have "parents" who contribute a significant portion of their edits. We establish a notion of inequality based on the Gini Co-efficient for articles on Wikipedia and find support for the existence of this phenomenon of parenting. We base our study on data collected from the Tagalog and Croatian Wikipedias. Ultimately we claim that our research has significant implications for policy for both Corporate Wikis as also for Wikipedia. We state these implications and also suggest directions for future research. 0 0
The Small Worlds of Wikipedia: Implications for Growth, Quality and Sustainability of Collaborative Knowledge Networks Knowledge networks
Interaction networks
Small-worlds
AMCIS 2009: Americas Conference on Information Systems 2009 This work is a longitudinal network analysis of the interaction networks of Wikipedia, a free, user-led collaborativelygenerated online encyclopedia. Making a case for representing Wikipedia as a knowledge network, and using the lens of contemporary graph theory, we attempt to unravel its knowledge creation process and growth dynamics over time. Typical small-world characteristics of short path-length and high clustering have important theoretical implications for knowledge networks. We show Wikipedia’s small-world nature to be increasing over time, while also uncovering power laws and assortative mixing. Investigating the process by which an apparently un-coordinated, diversely motivated swarm of assorted contributors, create and maintain remarkably high quality content, we find an association between Quality and Structural Holes. We find that a few key high degree, cluster spanning nodes - ‘hubs’ - hold the growing network together, and discuss implications for the networks’ growth and emergent quality. 0 0
The small worlds of wikipedia: Implications for growth, quality and sustainability of collaborative knowledge networks Collaborative knowledge Networks
Network theory
Small-worlds
Wikipedia
15th Americas Conference on Information Systems 2009, AMCIS 2009 English 2009 This work is a longitudinal network analysis of the interaction networks of Wikipedia, a free, user-led collaborativelygenerated online encyclopedia. Making a case for representing Wikipedia as a knowledge network, and using the lens of contemporary graph theory, we attempt to unravel its knowledge creation process and growth dynamics over time. Typical small-world characteristics of short path-length and high clustering have important theoretical implications for knowledge networks. We show Wikipedia's small-world nature to be increasing over time, while also uncovering power laws and assortative mixing. Investigating the process by which an apparently un-coordinated, diversely motivated swarm of assorted contributors, create and maintain remarkably high quality content, we find an association between Quality and Structural Holes. We find that a few key high degree, cluster spanning nodes - 'hubs' - hold the growing network together, and discuss implications for the networks' growth and emergent quality. 0 0
Wikipedia Usage Patterns: The Dynamics of Growth Wikipedia
Behavioral factors
System dynamics
Simulation
Survey data
International Conference on Information Systems (ICIS 2008) 2008 Wikis have attracted attention as a powerful technological platform on which to harness the potential benefits of collective knowledge. Current literature identifies different behavioral factors that modulate the interaction between contributors and wikis. Some inhibit growth while others enhance it. However, while these individual factors have been identified in the literature, their collective effects have not yet been identified. In this paper, we use the system dynamics methodology, and a survey of Wikipedia users, to propose a holistic model of the interaction among different factors and their collective impact on Wikipedia growth. The model is simulated to examine its ability to replicate observed growth patterns of Wikipedia metrics. Results indicate that the model is a reasonable starting point for understanding observed Wiki growth patterns. To the best of our knowledge, this is the first attempt in the literature to synthesize a holistic model of the forces underlying Wiki growth. 0 0