Evaluation measures for relevance and credibility in ranked lists

Christina Lioma, Jakob Grue Simonsen, Birger Larsen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

27 Citations (Scopus)

Abstract

Recent discussions on alternative facts, fake news, and post truth politics have motivated research on creating technologies that allow people not only to access information, but also to assess the credibility of the information presented to them by information retrieval systems. Whereas technology is in place for filtering information according to relevance and/or credibility [15], no single measure currently exists for evaluating the accuracy or precision (and more generally effectiveness) of both the relevance and the credibility of retrieved results. One obvious way of doing so is to measure relevance and credibility effectiveness separately, and then consolidate the two measures into one. There at least two problems with such an approach: (I) it is not certain that the same criteria are applied to the evaluation of both relevance and credibility (and applying different criteria introduces bias to the evaluation); (II) many more and richer measures exist for assessing relevance effectiveness than for assessing credibility effectiveness (hence risking further bias). Motivated by the above, we present two novel types of evaluation measures that are designed to measure the effectiveness of both relevance and credibility in ranked lists of retrieval results. Experimental evaluation on a small human-annotated dataset (that we make freely available to the research community) shows that our measures are expressive and intuitive in their interpretation.

Original languageEnglish
Title of host publicationICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval
Number of pages8
PublisherAssociation for Computing Machinery (ACM)
Publication date1 Oct 2017
Pages91-98
ISBN (Electronic)978-1-4503-4490-6
DOIs
Publication statusPublished - 1 Oct 2017
Event7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017 - Amsterdam, Netherlands
Duration: 1 Oct 20174 Oct 2017

Conference

Conference7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017
Country/TerritoryNetherlands
CityAmsterdam
Period01/10/201704/10/2017
SponsorSpecial Interest Group on Information Retrieval (ACM SIGIR)

Keywords

  • Credibility
  • Evaluation measures
  • Relevance

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