Fake news detection using machine learning

• Published in: AIP conference proceedings Vol. 2857; no. 1
• Main Authors: Kumaravel, Deepika, Natarajan, Sasirekha, Rajappa, Shyamala
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Melville American Institute of Physics 18.08.2023
• Subjects: Algorithms; Availability; Classification; Digital media; Machine learning; News; Social networks
• DOI: 10.1063/5.0165193
• ISSN: 0094-243X

The simple availability and exponential expansion of information available on social media networks has made distinguishing between false and real information difficult. More information is being generated and shared by consumers in these days; some are deceptive and has no bearing on reality during the use of social media platforms. Machine learning has played a significant role in information classification, but with some drawbacks. For news article classification, we propose using a machine learning ensemble technique. The experiment is carried out using the Passive Aggressive Classifier algorithm. We wish to offer people by giving the option of categorizing information as false or true, and also calculating the percentage of false articles.