A novel approach to fake news detection in social networks using genetic algorithm applying machine learning classifiers

• Published in: Multimedia tools and applications Vol. 82; no. 6; pp. 9029 - 9045
• Main Authors: Choudhury, Deepjyoti, Acharjee, Tapodhir
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2023; Springer Nature B.V
• Subjects: 1209: Recent Advances on Social Media Analytics and Multimedia Systems: Issues and Challenges; Accuracy; Classifiers; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Datasets; Evolutionary algorithms; Genetic algorithms; Machine learning; Multimedia Information Systems; News media; Regression analysis; Social networks; Special Purpose and Application-Based Systems; Support vector machines; Genetic algorithm; Fake news; Social media; Machine learning

Now-a-days fake news have become part and parcel of our everyday life due to its quick spreading in different social media. Fake news identification has been emerging as an important research subject due to the widespread dissemination of fake news on social and news media. Current fake news identif...