Transcription of Fake News Detection - IJARIIT
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Fake News Detection - IJARIIT
Gahirwal Manisha et. al; International Journal of Advance Research, Ideas and Innovations in Technology 2018, All Rights Reserved Page |817 ISSN: 2454-132X Impact factor: (Volume 4, Issue 1) Available online at: fake news Detection Manisha Gahirwal Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Sanjana Moghe Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Tanvi Kulkarni Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Devansh Khakhar Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra Jayesh Bhatia Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra ABSTRACT fake news , one of the biggest new-age problems has the potential to mould opinions and influence decisions.
To detect fake news on social media, [3] presents a data mining perspective which includes fake news characterization on psychology and social theories. This article discusses two major factors responsible for widespread acceptance of fake news by the user which are Naive Realism and Confirmation Bias.
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