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Understanding Fake News Detection on Social Media: A Survey on Methodologies and Datasets

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Artificial Intelligence (ISAI 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1695))

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Abstract

Technological progress opens new ways for us to discover new things every day. Nowadays, we are far too dependent on modern technologies such as social media and digital platforms. The scenario of our daily life has changed drastically within a couple of decades. Just a few decades ago, most people started their morning by looking at the daily newspaper. But the popularity of social media has changed the concept of news consumption. With the ease and popularity of spreading news on social media and online platforms, this has led to some serious problems for our society. The problem that has particularly serious implications in this context is Fake News. In recent years, researchers have tried to solve this complex problem of detecting Fake News. In this review, various aspects of the methods developed so far to detect Fake News are presented. First, we review some previous work on Fake News. Then, we discuss some benchmark datasets available for Fake News detection. Some techniques and methods proposed so far by different researchers are described. All the proposed methods are analyzed in terms of the tools used, the datasets used and the accuracy achieved. Some challenges and future possibilities for Fake News detection are also highlighted and critically discussed.

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Acknowledgements

This study is funded by the Department of Science and Technology – Science and Engineering Research Board (DST-SERB), Govt. of India under the research project entitled “Fake Image and News Detection on Social Media Through Trustware Based Community Portal”. (No-EEQ/2019/000317). The authors are thankful to the Vidyasagar University for providing infrastructural facilities required for carrying out the project.

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Authors and Affiliations

  1. Department of Computer Science, Vidyasagar University, West Midnapore, 721102, West Bengal, India

    Debasish Patra & Biswapati Jana

  2. School of Computer Science and Engineering, XIM University, Harirajpur, 752050, Odisha, India

    Sourav Mandal & Arif Ahamed Sekh

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  1. Debasish Patra
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  2. Biswapati Jana
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  3. Sourav Mandal
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  4. Arif Ahamed Sekh
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Correspondence to Debasish Patra .

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Editors and Affiliations

  1. XIM University, Bhubaneswar, India

    Arif Ahmed Sk

  2. King Abdulaziz University, Jeddah, Saudi Arabia

    Turki Turki

  3. Haldia Institute of Technology, Haldia, India

    Tarun Kumar Ghosh

  4. Haldia Institute of Technology, Haldia, India

    Subhankar Joardar

  5. Haldia Institute of Technology, Haldia, India

    Subhabrata Barman

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Patra, D., Jana, B., Mandal, S., Sekh, A.A. (2022). Understanding Fake News Detection on Social Media: A Survey on Methodologies and Datasets. In: Sk, A.A., Turki, T., Ghosh, T.K., Joardar, S., Barman, S. (eds) Artificial Intelligence. ISAI 2022. Communications in Computer and Information Science, vol 1695. Springer, Cham. https://doi.org/10.1007/978-3-031-22485-0_21

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