Fake News Detection System using Logical Regression
Year: 2025
Type: article
Abstract: Counterfeit news is a peculiarity which is fundamentally affecting our public activity, specifically in the political world. Counterfeit news location is an arising research region which is acquiring interest however elaborate a few difficulties because of the restricted measure of assets accessible. Data accuracy on Internet, particularly via online media, is an undeniably significant concern, yet web-scale information hampers, capacity to distinguish, assess and right such information, or purported "counterfeit news," present in these stages. This strategy utilizes NLP Classification model (Logical Regression) to anticipate whether a news on social media will be named as REAL or FAKE. With this undertaking we are attempting to get high exactness and furthermore decrease an opportunity to distinguish the Fake News. Key Words: Counterfeit news, NLP, Real, Fake, Logical Regression, Recognize
DOI: 10.55041/ijsrem43099
Authors: Pavithra bejawada, Naga durga prasad,, B.Venkanna babu,, Ch.Rohith kumar
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408879688