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The Performance of Distributed News Aggregators

Wolf Richter
University of Oxford - Oxford Internet Institute

Tobias Escher
University of Oxford - Oxford Internet Institute

David A. Bray
National Defense University - Information Resources Management College; Emory University - Department of Decision & Information Analysis


November 17, 2008

OII DPSN Working Paper No. 9

Abstract:     
Originating as a study of the online news aggregator Digg, which relies on user ratings to determine which articles to put on the frontpage, this study evolved into a comprehensive survey of the online news aggregator space. This case study explores the conditions under which crowds are smart, analyzes the bias of several modes of information aggregation, and shows the risk of mob behaviour.

Keywords: distributed problem solving networks, internet, network, crowd sourcing, news aggregation, mobs, digg, problem solving, organization, knowledge, collaboration, digital networks, information sharing

Working Paper Series

Date posted: January 08, 2009 ; Last revised: January 19, 2009

Suggested Citation

Richter , Wolf, Escher, Tobias and Bray, David A., The Performance of Distributed News Aggregators (November 17, 2008). OII DPSN Working Paper No. 9 . Available at SSRN: http://ssrn.com/abstract=1324462


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Contact Information

David A. Bray (Contact Author)
National Defense University - Information Resources Management College ( email )
Washington, DC
HOME PAGE: http://www.linkedin.com/in/dbray
Emory University - Department of Decision & Information Analysis ( email )
1300 Clifton Road
Atlanta, GA 30322
United States
Tobias Escher
University of Oxford - Oxford Internet Institute ( email )
1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom
Wolf Richter
University of Oxford - Oxford Internet Institute ( email )
Feedback to SSRN (Beta)


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