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Fake News Detection Methods: A Survey and New Perspectives

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) (AI2SD 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1418))

Abstract

The world today is witnessing a tremendous evolution in the field of information dissemination, where millions of people can publish and receive free information and news instantly. However, detecting and reducing the spread of misinformation on online social media is a challenging problem. In this paper, we present a comprehensive review of fake news detection methods and introduce two methods that we implemented using word embedding techniques in order to come up with a text representation which is intended to capture the pertinent information characterizing fake news. More concretely, we first discuss the feature engineering used when working with fake news extraction, then we provide a comprehensive summary of the unsupervised and the supervised methods for fake news detection. Finally, we discuss open-ended questions and future research directions relating to fake news detection paradigms.

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Authors and Affiliations

  1. Networks and Distributed Systems Laboratory, University of Sétif 1, Sétif, Algeria

    Zineb Ferhat Hamida, Allaoua Refoufi & Ahlem Drif

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  1. Zineb Ferhat Hamida
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  2. Allaoua Refoufi
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  3. Ahlem Drif
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Correspondence to Zineb Ferhat Hamida .

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Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

    Janusz Kacprzyk

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  3. Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

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Ferhat Hamida, Z., Refoufi, A., Drif, A. (2022). Fake News Detection Methods: A Survey and New Perspectives. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1418. Springer, Cham. https://doi.org/10.1007/978-3-030-90639-9_11

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