

A Surveillance on those Who Disseminate Fake News
Abstract
Real people have a significant role in the spread of false information. False information is mainly disseminated on online social networks by online news readers and active users. Some people create online accounts in order to disseminate false material masquerading as news. This paper explores several state-of-the-art techniques for identifying fake news and talks about their limitations. It also looked at various methods of identifying and identifying false news, including those based on timing, social context, credibility, and the news's actual content. Finally, an algorithm is given and a variety of datasets utilized for fake news detection are examined in the paper.
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