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Fake Reviews Detection Under Belief Function Framework

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018 (AISI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 845))

Abstract

Online reviews have become one of the most important sources of customers’ opinions. These reviews influence potential purchasers to make or reverse decisions. Unfortunately, the existence of profit and publicity has emerged fake reviews to promote or demote some target products. Furthermore, reviews are generally imprecise and uncertain. So, it is a difficult task to uncover fake reviews from the genuine ones. In this paper, we propose a fake reviews detection method using the belief function theory. This method deals with the uncertainty in the given rating reviews and takes into account the similarity with other provided votes to detect misleading. We propose numerical examples to intuitively evaluate our method. Then, to prove its performance, we conducted on a real database. Experimentation shows that the proposed method is a valuable solution for the fake reviews detection problem.

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Author information

Authors and Affiliations

  1. LARODEC, Institut Supérieur de Gestion de Tunis, Université de Tunis, Tunis, Tunisia

    Malika Ben Khalifa & Zied Elouedi

  2. Laboratoire de Génie Informatique et d’Automatique de l’Artois (LGI2A), EA 3926, Univ. Artois, 62400, Béthune, France

    Eric Lefèvre

Authors
  1. Malika Ben Khalifa
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  2. Zied Elouedi
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  3. Eric Lefèvre
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Corresponding authors

Correspondence to Malika Ben Khalifa , Zied Elouedi or Eric Lefèvre .

Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  4. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Ben Khalifa, M., Elouedi, Z., Lefèvre, E. (2019). Fake Reviews Detection Under Belief Function Framework. In: Hassanien, A., Tolba, M., Shaalan, K., Azar, A. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. AISI 2018. Advances in Intelligent Systems and Computing, vol 845. Springer, Cham. https://doi.org/10.1007/978-3-319-99010-1_36

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