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A Multi-Aspect Evaluation Framework for Comments on the Social Web

Patkos, T; Bikakis, A; Flouris, G; (2016) A Multi-Aspect Evaluation Framework for Comments on the Social Web. In: Baral, C and Delgrande, J and Wolter, F, (eds.) Proceedings [of the] Fifteenth International Conference On Principles Of Knowledge Representation And Reasoning (KR-16). (pp. pp. 593-596). Association for the Advancement of Artificial Intelligence (AAAI) Press: Palo Alto, California. Green open access

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Abstract

Users' reviews, comments and votes on the Social Web form the modern version of word-of-mouth communication, which has a huge impact on people’s habits and businesses. Nonetheless, there are only few attempts to formally model and analyze them using Computational Models of Argument, which achieved a first significant step in bringing these two fields closer. In this paper, we attempt their further integration by formalizing standard features of the Social Web, such as commentary and social voting, and by proposing methods for the evaluation of the comments' quality and acceptance.

Type: Proceedings paper
Title: A Multi-Aspect Evaluation Framework for Comments on the Social Web
Event: KR 2016: 15th International Conference on Principles of Knowledge Representation and Reasoning, 25-29 April 2016, Cape Town, South Africa
ISBN-13: 9781577357551
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.aaai.org/Press/Proceedings/kr16.php
Language: English
Additional information: Copyright © 2016, Association for the Advancement of Artificial Intelligence (AAAI) (www.aaai.org). All rights reserved.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies
URI: https://discovery.ucl.ac.uk/id/eprint/1500934
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