Employing Methodologies from the Field of Artificial Intelligence for Identifying Fake News

The constant development of social media platforms has made it possible for anyone to disseminate news immediately and to a large audience. Because of this, there has been a significant reduction in the amount of complexity everywhere. This indicates that it is becoming an increasingly difficult task to differentiate between authentic and fake news in the environment. In this research, we propose a realistic solution to the issues that are encountered while detecting false news by utilizing artificial intelligence (AI) and machine learning (ML) methodologies in conjunction with semantic features. This solution is aimed at identifying fake news. In order to assist us in making a decision, a number of research articles on machine learning were analyzed.