A paper titled “DeepNet: An Efficient Neural Network for Fake News Detection Using News-User Engagements” and authored by Sreyas Namboodiri (B Tech ECE, 2016 admissions) was presented in the 5th IEEE International Conference on Computing, Communication and Security (ICCCS-2020) held at IIT Patna, India during 4 – 6 October 2020.The paper was added to the IEEE Explore on 9 December 2020. Sreyas Namboodiri had completed a one month long summer internship under leadingindia.ai at Bennett University, Greater Noida, UP in 2019 and the paper is an outcome of the internship.
Fake news has an adverse impact on society as it may manipulate public opinions. Thus it is important to examine the credibility of news articles being shared on social media. In this paper, the author presents an effective deep neural network that is capable of handling not only the content of the news article but also the user-relationships in the social network.
|The paper is available HERE.|