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.
Detecting fake news using AI - Applying NLP technology enables the analysis of language - Machine learning technologies enable professionals to analyze various information systems. - Deep learning techniques serve to identify patterns within news materials. - Identifying and tackling misinformation - A system detects text authenticity through classification procedures. - The analysis of sentiment helps discover false information containing biased or misleading content. Ethical considerations in AI and news credibility - The examination of news and deceptive content propagation processes within social media networks is performed. - Verifying news sources for accuracy - The study investigates computer methods of understanding and processing language. - A system that uses automation conducts factual analyses to combat phony information.