MOCK-UP DETECTION OF COVID NEWS IN TWITTER USING OPCNN

MOCK-UP DETECTION OF COVID NEWS IN TWITTER USING OPCNN

Neetu Reji1, Dr. Smitha C Thomas 2, Helen Susan Bejoy3

1 M. Tech Student, Computer Science and Engineering, APJ Abdul Kalam Technological University, Kerala, India

2 Asst. Professor, Computer Science and Engineering, Mount Zion College of Engineering, Kadammanitta,

Kerala, India

3 B.tech Student, Computer Science And Engineering, Mar Baselios College Of Engineering And Technology , Thiruvananthapuram

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Abstract - The misinformation spread in the news platform is a severe danger to social cohesiveness and well-being since it increases political polarization and people’s distrust of their leaders. Thus, fake news is a phenomenon that is having a significant impact on our social lives, particularly in politics. This paper proposes novel approaches based on Machine Learning (ML) and Deep Learning (DL) for the fake news detection system to address this phenomenon. The main aim of this paper is to find the optimal model that obtains high accuracy performance. Therefore, we propose an optimized Convolutional Neural Network model to detect fake news (OPCNN-FAKE).

Key Words:  Machine Learning, Deep Learning