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Post Sharing-Based Credibility Network for Social Network

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Intelligent Distributed Computing XI (IDC 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 737))

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Abstract

Social networks are intensively and extensively used to exchange news and contents in real time. The lack of a global authority for assessing posts truthfulness however allows malicious to exhibit unfair behaviours; identifying methodologies to detect hoaxes and defamatory content automatically is therefore more and more required. Social networks as Facebook and Twitter provided specific solutions and general approaches were also developed; in this paper we present a general model that takes into account both post as well as users’ credibility, using a duplex network of acquaintances and credibility among users. First experiments show that it is possible to distinguish individuals who post non-truthful content through a combined analysis of both the news content and the reposts they get from their contacts.

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Authors and Affiliations

  1. Dipartimento di Ingegneria Elettrica, Elettronica e Informatica (DIEEI), Università degli Studi di Catania, Catania, Italy

    V. Carchiolo, A. Longheu, M. Malgeri, G. Mangioni & M. Previti

Authors
  1. V. Carchiolo
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  2. A. Longheu
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  3. M. Malgeri
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  4. G. Mangioni
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  5. M. Previti
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Corresponding author

Correspondence to M. Previti .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanović

  2. Faculty of Automatics, Computer Science and Electronics, University of Craiova, Craiova, Romania

    Costin Bădică

  3. Institut für Informatik, Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Jürgen Dix

  4. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

    Zoran Jovanović

  5. Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Universita degli Studi di Catania, Catania, Italy

    Michele Malgeri

  6. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

    Miloš Savić

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Carchiolo, V., Longheu, A., Malgeri, M., Mangioni, G., Previti, M. (2018). Post Sharing-Based Credibility Network for Social Network. In: Ivanović, M., Bădică, C., Dix, J., Jovanović, Z., Malgeri, M., Savić, M. (eds) Intelligent Distributed Computing XI. IDC 2017. Studies in Computational Intelligence, vol 737. Springer, Cham. https://doi.org/10.1007/978-3-319-66379-1_14

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  • DOI: https://doi.org/10.1007/978-3-319-66379-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66378-4

  • Online ISBN: 978-3-319-66379-1

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