Abstract

http://ssrn.com/abstract=1324462
 
 

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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


Harvard University; University of Oxford; National Defense University

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.

Number of Pages in PDF File: 29

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


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Date posted: January 8, 2009 ; Last revised: August 5, 2014

Suggested Citation

Richter, Wolf and 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 or http://dx.doi.org/10.2139/ssrn.1324462

Contact Information

Wolf Richter
University of Oxford - Oxford Internet Institute ( email )
Tobias Escher
University of Oxford - Oxford Internet Institute ( email )
1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom
David A. Bray (Contact Author)
Harvard University ( email )
1875 Cambridge Street
Cambridge, MA 02138
United States
University of Oxford
Oxford
United Kingdom
HOME PAGE: http://www.linkedin.com/in/dbray
National Defense University ( email )
Marshall Hall
300 5th Avenue
Washington, DC 20319-5066
United States
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