AI-Powered Fake News Detection: Using NLP and Machine Learning to Combat Misinformation
The identification of fake news by AI stands as an essential requirement in current world conditions. Researchers examine unorthodox ways to analyse different news articles alongside other pieces of content. The system gathers data through multiple processes while obtaining essential features. The detection of fake news depends on technical combinations of Machine Learning (ML), Artificial Intelligence (AI) and Natural Language Processing (NLP) which both identify and prevent false information spread. The research goal entails developing advanced AI systems with effective scaling ability and clear interpretive functionality for stopping misinformation spread with intelligent techniques.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-08
- DOI
- https://doi.org/10.5281/zenodo.17077852
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00