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A Multi-criteria Decision Making Approach for the Assessment of Information Credibility in Social Media

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Fuzzy Logic and Soft Computing Applications (WILF 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10147))

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Abstract

In Social Media, large amounts of User Generated Content (UGC) generally diffuse without any form of trusted external control. In this context, the risk of running into misinformation is not negligible. For this reason, assessing the credibility of both information and its sources in Social Media platforms constitutes nowadays a fundamental issue for users. In the last years, several approaches have been proposed to address this issue. Most of them employ machine learning techniques to classify information and misinformation. Other approaches exploit multiple kinds of relationships connecting entities in Social Media applications, focusing on credibility and trust propagation. Unlike previous approaches, in this paper we propose a model-driven approach based on Multi-Criteria Decision Making (MCDM) and quantifier guided aggregation. An overall credibility estimate for each piece of information is obtained based on multiple criteria connected to both UGC and users generating it. The proposed model is evaluated in the context of opinion spam detection in review sites, on a real-world dataset crawled from Yelp, and it is compared with well-known supervised machine learning techniques.

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Notes

  1. 1.

    For the sake of conciseness, we omit the details concerning the definition of the function Q for the OWA + LQ + I scheme.

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Authors and Affiliations

  1. Dipartimento di Informatica, Sistemistica e Comunicazione (DISCo), Università degli Studi di Milano-Bicocca, Viale Sarca, 336 – Edificio U14, 20127, Milano, Italy

    Marco Viviani & Gabriella Pasi

Authors
  1. Marco Viviani
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  2. Gabriella Pasi
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Correspondence to Marco Viviani .

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Editors and Affiliations

  1. University of Naples “Parthenope”, Naples, Italy

    Alfredo Petrosino

  2. University of Salerno, Fisciano, (Salerno), Italy

    Vincenzo Loia

  3. University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

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Viviani, M., Pasi, G. (2017). A Multi-criteria Decision Making Approach for the Assessment of Information Credibility in Social Media. In: Petrosino, A., Loia, V., Pedrycz, W. (eds) Fuzzy Logic and Soft Computing Applications. WILF 2016. Lecture Notes in Computer Science(), vol 10147. Springer, Cham. https://doi.org/10.1007/978-3-319-52962-2_17

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  • DOI: https://doi.org/10.1007/978-3-319-52962-2_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52961-5

  • Online ISBN: 978-3-319-52962-2

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