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A Cognitive-based scheme for user reliability and expertise assessment in Q&A social networks

Pelechrinis, K and Zadorozhny, V and Oleshchuk, V (2011) A Cognitive-based scheme for user reliability and expertise assessment in Q&A social networks. In: UNSPECIFIED.

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Abstract

Q&A social media has gained a great deal of attention during recent years. People rely on these sites to obtain information due to the number of advantages they offer as compared to conventional sources of knowledge (e.g., asynchronous and convenient access). However, for the same question one may find highly contradictory answers, causing ambiguity with respect to the correct information. This can be attributed to the presence of unreliable and/or non-expert users. In this work, we propose a novel approach for estimating the reliability and expertise of a user based on human cognitive traits. Every user can individually estimate these values based on local pairwise interactions. We examine the convergence performance of our algorithm and we find that it can accurately assess the reliability and the expertise of a user and can successfully react to the latter's behavior change. © 2011 IEEE.

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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Pelechrinis, Kkpele@pitt.eduKPELE0000-0002-6443-3935
Zadorozhny, V
Oleshchuk, V
Date: 29 September 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Proceedings of the 2011 IEEE International Conference on Information Reuse and Integration, IRI 2011
Page Range: 545 - 550
Event Type: Conference
DOI or Unique Handle: 10.1109/iri.2011.6009614
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISBN: 9781457709661
Date Deposited: 13 Jun 2012 15:03
Last Modified: 31 Jul 2020 14:56
URI: http://d-scholarship.pitt.edu/id/eprint/12367

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