Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12015/2662
Title: Measuring self-focus bias in community-maintained knowledge repositories
Authors: Hecht, Brent
Gergle, Darren
Issue Date: 2009
Publisher: ACM Press
metadata.dc.relation.ispartof: Communities and Technologies 2009: Proceedings of the Fourth Communities and Technologies Conference
metadata.mci.reference.pages: 11-20
Series/Report no.: Communities and Technologies
Abstract: Self-focus is a novel way of understanding a type of bias in community-maintained Web 2.0 graph structures. It goes beyond previous measures of topical coverage bias by encapsulating both node- and edge-hosted biases in a single holistic measure of an entire community-maintained graph. We outline two methods to quantify self-focus, one of which is very computationally inexpensive, and present empirical evidence for the existence of self-focus using a "hyperlingual" approach that examines 15 different language editions of Wikipedia. We suggest applications of our methods and discuss the risks of ignoring self-focus bias in technological applications.
metadata.dc.identifier.doi: 10.1145/1556460.1556463
URI: https://hdl.handle.net/20.500.12015/2662
metadata.mci.conference.sessiontitle: Full Papers
Appears in Collections:C&T 2009: Proceedings of the Fourth Communities and Technologies Conference

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