Fake News Detection Based on Natural Language Processing and Block chain Approaches
Keywords:
reinforcement learning, fake media, block chain, Natural language processingAbstract
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
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