Fake News Detection Based on Natural Language Processing and Block chain Approaches

Abstract

Based on advancements and modern technologies in the field of social media network, computer science, are one of the significant components of human life. This environment, which is the primary period for data collection and transmission, has become a well known platform for exchanging news and information on a daily report and variety of topics. Although this environment has many benefits, there are also many false reports and pieces of information that deceive readers and users into believing they are receiving the correct information. Now a
days all users are using social media to access news content but sometime some malicious users will alter genuine news and then spread fake news which may degrade social media fame and to avoid such fake news many existing algorithms were introduced but all those algorithms are based on traditional machine learning algorithms such as SVM or RF. This algorithms lack of security and authorization