Fake News Detection and Reduction of Propagation in Social Media Using Social Network Analysis

Abstract

Nowadays, people rely mainly on social media for all kinds of information sharing and have also begun to acquire information through social media platforms. newlineSocial media is very popular nowadays for sharing news, communicating, and discussing trendy topics. The wide usage of social media platforms, many times leads to the spread of fake news. Fake news is considered as information that is not verified by the people at the time of posting. Social media platforms allow users to share and comment about such fake news. This scenario can harm our society. It is crucial to identify such fake news. newlineFirstly, the credibility of the news can be identified by checking the credibility of the user posting the news. This can be implemented by grouping similar behavior users, which is determined by their content similarity. These users can form a pattern for promoting things or creating negative impacts on a particular scenario. Identifying such groups of users and marking the incredible users will help us to identify the content posted by those users as not credible newline