Fake News Detection Using Machine Learning Techniques

These days, wide spread of fake news on different social media platforms and different news sources are one of the strong reasons to cause social damage which is a serious concern. Through different social media platforms such as: Instagram, Twitter, Facebook and YouTube etc. fake news are spread among billions of people daily. In this approach, our aim to distribute something more on Fake News Detection, we focus more on techniques to classify among fake and genuine news. We aim to provide people with the real news to avoid conflicts.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/aece62803.2024.10911448
Citations
4
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
4.53
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article

Fake News Detection Using Machine Learning Techniques

J.S. Saini, Arjun Singh, Ankita Agarwal, Prakhar Mittal et al.
4 citations
Misinformation and Its Impacts
4.53
article

Fake News Detection Using Machine Learning Techniques

J.S. Saini, Arjun Singh, Ankita Agarwal, Prakhar Mittal, Sandeep Kumar, Rajeev Kumar Maheshwari
article en
4 citations

Abstract

These days, wide spread of fake news on different social media platforms and different news sources are one of the strong reasons to cause social damage which is a serious concern. Through different social media platforms such as: Instagram, Twitter, Facebook and YouTube etc. fake news are spread among billions of people daily. In this approach, our aim to distribute something more on Fake News Detection, we focus more on techniques to classify among fake and genuine news. We aim to provide people with the real news to avoid conflicts.

IILM Institute for Higher Education (IN), Technova Corporation (United States) (US)
Openalex Percentile: Top 5%
Misinformation and Its Impacts
4.53
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