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The Performance of Distributed News Aggregators

OII DPSN Working Paper No. 9

29 Pages Posted: 8 Jan 2009 Last revised: 5 Aug 2014

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

Date Written: November 17, 2008

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

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: https://ssrn.com/abstract=1324462 or http://dx.doi.org/10.2139/ssrn.1324462

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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