Surprisingly Free   /     Shane Greenstein on bias in Wikipedia articles

Description

Shane Greenstein, Kellogg Chair in Information Technology at Northwestern's Kellogg School of Management, discusses his recent paper, Collective Intelligence and Neutral Point of View: The Case of Wikipedia , coauthored by Harvard assistant professor Feng Zhu. Greenstein and Zhu's paper takes a look at whether Linus' Law applies to Wikipedia articles. Do Wikipedia articles have a slant or bias? If so, how can we measure it? And, do articles become less biased over time, as more contributors become involved? Greenstein explains his findings.

Subtitle
Shane Greenstein, Kellogg Chair in Information Technology at Northwestern's Kellogg School of Management, discusses his recent paper, Collective Intelligence and Neutral Point of View: The Case of Wikipedia ,
Duration
32:55
Publishing date
2014-03-11 10:00
Contributors
  Jerry Brito
author  
Enclosures
http://feedproxy.google.com/~r/tlf-podcast/~5/OOSUqgAqg7w/SFC-181-14-0310-Greenstein.mp3
audio/mpeg

Shownotes

Shane Greenstein, Kellogg Chair in Information Technology at Northwestern’s Kellogg School of Management, discusses his recent paper, Collective Intelligence and Neutral Point of View: The Case of Wikipedia, coauthored by Harvard assistant professor Feng Zhu. Greenstein and Zhu’s paper takes a look at whether Linus’ Law applies to Wikipedia articles. Do Wikipedia articles have a slant or bias? If so, how can we measure it? And, do articles become less biased over time, as more contributors become involved? Greenstein explains his findings.

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