Year: 2025
Type: article
Abstract: This paper introduces an innovative AI-based approach to detecting fake news, aiming to address its detrimental impact on society. The research integrates natural language processing (NLP), feature engineering, and advanced machine learning techniques to automatically identify deceptive news articles. By analyzing linguistic patterns and contextual cues, the system effectively distinguishes between authentic and misleading content. Deep learning models like recurrent neural networks (RNNs) and BERT are explored to enhance detection accuracy. Experimental evaluations on diverse datasets validate the system's effectiveness, demonstrating strong performance in precision, recall, and overall accuracy.
DOI: 10.55041/ijsrem45280
Author: Mrs. Disha Sharma
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4409643847