FNDNet – A deep convolutional neural network for fake news detection-Reference-Cited by-同舟云学术

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FNDNet – A deep convolutional neural network for fake news detection

Published:2020-06 Issue: Volume:61 Page:32-44
ISSN:1389-0417
Container-title:Cognitive Systems Research
language:en
Short-container-title:Cognitive Systems Research

Author:

Kaliyar Rohit Kumar,Goswami Anurag,Narang Pratik,Sinha Soumendu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,Software

Reference53 articles.

1. Detection of online fake news using n-gram analysis and machine learning techniques;Ahmed,2017

2. Enhancing deep learning sentiment analysis with ensemble techniques in social applications;Araque;Expert Systems with Applications,2017

3. Online public shaming on twitter: Detection, analysis, and mitigation;Basak;IEEE Transactions on Computational Social Systems,2019

4. Semantics derived automatically from language corpora contain human-like biases;Caliskan;Science,2017

5. Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities;Camacho-Collados;Artificial Intelligence,2016

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