Machine Learning-Based Approach for Fake News Detection

Authors

  • H. L. Gururaj Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy Of Higher Education, Manipal, India
  • H. Lakshmi Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India
  • B. C. Soundarya Department of Artificial Intelligence and Machine Learning, Alva’s Institute of Engineering and Technology, Mangalore, India
  • Francesco Flammini IDSIA USI-SUPSI, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, CH
  • V. Janhavi Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India

DOI:

https://doi.org/10.13052/jicts2245-800X.1042

Keywords:

Fake News, Machine Learning, Classification

Abstract

In the modern era where the internet is found everywhere and there is rapid adoption of social media which has led to the spread of information that was never seen within human history before. This is due to the usage of social media platforms where consumers are creating and sharing more information where most of them are misleading with no relevance with reality. Classifying the text article automatically as misinformation is a bit challenging task. This development addresses how automated classification of text articles can be done. We use a machine learning approach for the classification of news articles. Our study involves exploring different textual properties that may be often used to distinguish fake contents from real ones. By using those properties, can train the model with different machine learning algorithms and evaluate their performances. The classifier with the best performance is used to build the classification model which predicts the reliability of the news articles present in the dataset.

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Author Biographies

H. L. Gururaj, Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy Of Higher Education, Manipal, India

H. L. Gururaj Gururaj is currently working as Associate Professor, Department of Information Technology, Manipal Institute of Technology – MIT, Manipal Academy Of Higher Education (MAHE), Bangalore Campus, India. He holds a Ph.D. Degree in Computer Science and Engineering from Visweswaraya Technological University, Belagavi, India in 2019. He is a professional member of ACM and working as ACM Distinguish Speaker from 2018. He is the founder of Wireless Internetworking Group(WiNG). He is a Senior member of IEEE and lifetime member of ISTE and CSI.

H. Lakshmi, Department of Information Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India

H. Lakshmi is working as an assistant professor in the department of Information science and engineering, Vidyavardhaka College of Engineering, Mysuru. She has published papers in various national and international conferences and journals.

B. C. Soundarya, Department of Artificial Intelligence and Machine Learning, Alva’s Institute of Engineering and Technology, Mangalore, India

B. C. Soundarya is working as an assistant professor at Alva’s Institute of Engineering and Technology Mangalore in the Department of AIML. She is a member of IEEE and member of ACM-W. She published research papers in various international journals and conferences.

Francesco Flammini, IDSIA USI-SUPSI, Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, CH

Fransesco Flammini Since January 2020, Francesco Flammini is a Full Professor of Computer Science with a focus on Cyber-Physical Systems at Mälardalen University (MDH page).

He has been a Senior Lecturer and an Associate Professor (“Docent”) in Computer Science at the Department of Computer Science and Media Technology of Linnaeus University. He has led the Cyber-Physical Systems (CPS) research and education area within the Smarter Systems complete knowledge environment.

He got with honors his master (2003) and doctoral (2006) degrees in Computer Engineering from the University of Naples Federico II, Italy.

V. Janhavi, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India

V. Janhavi is working as an associate professor in the department of computer science and engineering, Vidyavardhaka College of Engineering, Mysuru. She has published papers in various national and international conferences and journals.

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Published

2022-12-02

How to Cite

Gururaj, H. L. ., Lakshmi, H. ., Soundarya, B. C. ., Flammini, F. ., & Janhavi, V. . (2022). Machine Learning-Based Approach for Fake News Detection. Journal of ICT Standardization, 10(04), 509–530. https://doi.org/10.13052/jicts2245-800X.1042

Issue

2022: Vol 10 Iss 4

Section

Articles