Multi-Modal Approaches to Fake News Detection: Text, Image, and Video Analysis

Authors

  • Md Rasel Sub Assistant Engineer, National Institute of Mass Communication, Bangladesh. Author
  • Ashif Mohammad Deputy Station Engineer, Bangladesh Betar, Dhaka, Bangladesh Author
  • Md. Abdus Salam Programmer, National Institute of Mass Communication, Bangladesh Author
  • Md Aminul Islam Researcher, School of Computing and Technology, University of Gloucestershire, UK Author
  • Reduanul Bari Shovon Lecturer, Department of Computer Science and Engineering, University of Scholars, Dhaka, Bangladesh Author

Keywords:

Fake News Detection, Multi-Modal Analysis, Text Analysis, Image Analysis, Video Analysis, Natural Language Processing (NLP), Computer Vision.

Abstract

The proliferation of fake news has become a significant challenge in the digital age,
requiring advanced techniques for accurate detection. This paper investigates the use of multimodal approaches for fake news detection, integrating text, image, and video analysis. By
leveraging the complementary strengths of different types of data, we propose a comprehensive
framework that cross-references textual content with visual information and video context to
improve the accuracy and robustness of fake news detection. Our methodology involves the
development of machine learning models capable of analyzing and synthesizing insights from
multiple media types, including natural language processing (NLP) for text, computer vision for
images, and deep learning techniques for video analysis. The proposed system is evaluated on a
diverse dataset, demonstrating significant improvements in detection performance compared to
uni-modal approaches. This multi-modal framework represents a promising direction for
combating misinformation by providing a more holistic understanding of the content being
analyzed.

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Author Biographies

  • Md Rasel, Sub Assistant Engineer, National Institute of Mass Communication, Bangladesh.

    Email: rasel.nimc@gmail.com

  • Ashif Mohammad, Deputy Station Engineer, Bangladesh Betar, Dhaka, Bangladesh

     E-mail: ashif028628@gmail.com

  • Md. Abdus Salam, Programmer, National Institute of Mass Communication, Bangladesh

    Email: salam_cst4324@yahoo.com

  • Md Aminul Islam, Researcher, School of Computing and Technology, University of Gloucestershire, UK

    Email: mdaminulislam1@connect.glos.ac.uk

  • Reduanul Bari Shovon, Lecturer, Department of Computer Science and Engineering, University of Scholars, Dhaka, Bangladesh

    E-mail: reduanul.bari@ius.edu.bd

Published

2024-05-22

How to Cite

Multi-Modal Approaches to Fake News Detection: Text, Image, and Video Analysis. (2024). International Journal of Advanced Engineering Technologies and Innovations, 1(3), 449-475. http://ijaeti.com/index.php/Journal/article/view/386