Fake News Detection using Natural Language Processing and TensorFlow in IoT System

Authors

  • Vivek Veeraiah Department of Computer Science, Adichunchanagiri University, Mandya, Karnataka, India
  • Ravikumar G. K. Professor, Department of Computer Science and Engineering, Adichunchanagiri University, Mandya, Karnataka, India
  • Veera Talukdar Professor, Department of Computer Science, D Y Patil International University, Akurdi Pune, Maharashtra, India
  • Shaziya Islam Associate Professor, Department of Computer Science and Engineering, Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India
  • Sudhir Sharma Assistant Professor, Department of DSE, School of IT, Manipal University Jaipur, Rajasthan, India
  • Rajesh Tulasi Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
  • Ankur Gupta Assistant Professor, Department of Computer Science and Engineering, Vaish College of Engineering, Rohtak, Haryana, India

Keywords:

Fake News Detection, NLP, IoT, TensorFlow

Abstract

The proliferation of fake news in today's digital landscape poses a significant threat to the integrity of information dissemination and public trust in media. Addressing this challenge requires advanced technological solutions, and this project focuses on the intersection of NLP & DL framework TensorFlow to combat fake news. NLP techniques empower machines to understand and interpret human language, making them adept at analyzing textual content for linguistic patterns and biases inherent in fake news articles. TensorFlow provides the computational prowess needed to build intricate deep learning models capable of discerning fake news in IoT system with precision. This project explores the utilization of NLP and TensorFlow to create a robust IoT based fake news detection system that can identify misinformation, sensationalism, and biased language. Through an in-depth analysis of linguistic features and cross-referencing with reliable sources, this research contributes to the ongoing battle against fake news, promoting a more accurate and trustworthy IoT based digital information ecosystem.

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Published

07.01.2024

How to Cite

Veeraiah, V. ., G. K., R. ., Talukdar, V. ., Islam, S. ., Sharma, S. ., Tulasi, R. ., & Gupta, A. . (2024). Fake News Detection using Natural Language Processing and TensorFlow in IoT System. International Journal of Intelligent Systems and Applications in Engineering, 12(10s), 199–207. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4362

Issue

Vol. 12 No. 10s (2024)

Section

Research Article

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Copyright (c) 2023 Vivek Veeraiah, Ravikumar G. K., Veera Talukdar, Shaziya Islam, Sudhir Sharma, Rajesh Tulasi, Ankur Gupta

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