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.
Authors
- J.S. Saini (ORCID: https://orcid.org/0000-0002-6770-5967)
- Arjun Singh (ORCID: https://orcid.org/0000-0002-3475-077X)
- Ankita Agarwal (ORCID: https://orcid.org/0000-0003-0570-7374)
- Prakhar Mittal
- Sandeep Kumar (ORCID: https://orcid.org/0000-0002-5750-6112)
- Rajeev Kumar Maheshwari
Institutions
- IILM Institute for Higher Education (IN)
- Technova Corporation (United States) (US)
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