Fake News Detection System
Abstract: In this research paper, we are creating a model to help identify fake news using a type of computer learning called logistic regression. Fake News is the news or data that can mislead to the whole countries people . So our system will identify if the news or the article is real or fake by checking . Using logistic regression , we aim to give the output of the news whether its fake or real very quickly and accurately .For training the model , we will use the set tagged news articles to help the model to identify that if the news is fake or real patterns . Then we will test that how much our model is identifying the real and fake news correctly. This research aims to detect fake news by using computer algorithms to spot false stories.
Authors
- S. Prasad
- Supriya S. Telsang
- Pranav M. Pendse
- Pranav R. Dhanayate
- Pranav V. Apsingekar
- Pratha P. Sawant
- Pratyunsh D. Katkar
Institutions
- International Institute of Information Technology (IN)
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2024-11-27
- DOI
- https://doi.org/10.22214/ijraset.2024.65521
- Citations
- 2
- Primary Topic
- Spam and Phishing Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.78