Predicting website correctness from consensus analysis

  • Authors:
  • Steven O'Hara;Tom Bylander

  • Affiliations:
  • University of Texas San Antonio, One UTSA Circle, San Antonio, TX;University of Texas San Antonio, One UTSA Circle, San Antonio, TX

  • Venue:
  • Proceedings of the 2012 ACM Research in Applied Computation Symposium
  • Year:
  • 2012

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Abstract

Websites vary in terms of reliability. One could assume that NASA's website will be very accurate for Astronomy questions. Wikipedia is less accurate but is still more accurate than a generic Google search. In this research we ask a large number of "factoid" questions to several different search engines. We collect those responses and determine the correctness of each candidate answer. The answers are grouped by website source, and are compared to other websites to infer website correctness.