Fake news detection using deep learning models: A novel approach

Sachin Kumar; Rohan Asthana; Shashwat Upadhyay; Nidhi Upreti; Mohammad Akbar

doi:10.1002/ett.3767

journal article Nov 05, 2019

Fake news detection using deep learning models: A novel approach

Sachin Kumar

Rohan Asthana Shashwat Upadhyay Nidhi Upreti Mohammad Akbar

Transactions on Emerging Telecommunications Technologies Vol. 31 No. 2 · Wiley

View at Publisher Save 10.1002/ett.3767

Abstract

AbstractWith the ever increase in social media usage, it has become necessary to combat the spread of false information and decrease the reliance of information retrieval from such sources. Social platforms are under constant pressure to come up with efficient methods to solve this problem because users' interaction with fake and unreliable news leads to its spread at an individual level. This spreading of misinformation adversely affects the perception about an important activity, and as such, it needs to be dealt with using a modern approach. In this paper, we collect 1356 news instances from various users via Twitter and media sources such as PolitiFact and create several datasets for the real and the fake news stories. Our study compares multiple state‐of‐the‐art approaches such as convolutional neural networks (CNNs), long short‐term memories (LSTMs), ensemble methods, and attention mechanisms. We conclude that CNN + bidirectional LSTM ensembled network with attention mechanism achieved the highest accuracy of 88.78%, whereas Ko et al tackled the fake news identification problem and achieved a detection rate of 85%.

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References

Details

Published: Nov 05, 2019
Vol/Issue: 31(2)
License: View

Authors

S

Sachin Kumar

Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India

R

Rohan Asthana

Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India

S

Shashwat Upadhyay

Department of Information Technology Ajay Kumar Garg Engineering College Ghaziabad India

N

Nidhi Upreti

Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India

M

Mohammad Akbar

Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India

Cite This Article

Sachin Kumar, Rohan Asthana, Shashwat Upadhyay, et al. (2019). Fake news detection using deep learning models: A novel approach. Transactions on Emerging Telecommunications Technologies, 31(2). https://doi.org/10.1002/ett.3767

Fake news detection using deep learning models: A novel approach

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