The Fake News Detection using Dependency Tree based Recurrent Neural Network

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Kavya Parthiban
Shruthi S
Srivathshan KS


The objective of this research is to solve the fake news detection problem through a linguistic and a neural network approach, based only on its content. The problem is defined as the task of identifying news with the occurrence of intentional deceptions among those which stand to merely provide accurate information. The paper provides a sequential hybrid method, combining both a linguistic understanding and a recurrent neural network model, that aims at identifying fake news.

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ParthibanK., SS., & KSS. (2020). The Fake News Detection using Dependency Tree based Recurrent Neural Network. Probyto AI Journal, 1(01). Retrieved from


[1] Ciampaglia, G., Shiralkar, P., Rocha, L., Bollen, J. Menczer, F.,
Flammini, A. (2015)
Computational Fact Checking from Knowledge Networks.
[2] Rubin V., Conroy N, Chen Y (2015)
Towards News Verification: Deception Detection Methods for News
[3] Kai Shu, Amy Sliva, Suhang Wang (2017)
Fake News Detection on Social Media
[4] Richard Socher, Alex Perelygin, Jean Y. Wu, Jason Chuang, Christopher
D. Manning, Andrew Y. and Christopher Potts (2013)
Recursive Deep Models for Semantic Compositionality Over a Sentiment
[5] Gobinda G Chowdhury (2003)
Natural Language Processing
[6] Yimin Chen, Niall J Conroy, and Victoria L Rubin (2015)
Misleading online content: Recognizing clickbait as false news
[7] Rahangdale, A., Agrawa, A (2014)
Information extraction using discourse analysis from newswires
[8] Tomas Mikolov, Wen-tau Yih, Geoffrey Zweig (2013)
Linguistic Regularities in Continuous Space Word Representations
[9] Ilya Sutskever, Oriol Vinyals, Quoc V. Le (2014)
Sequence to Sequence Learning with Neural Networks
[10] Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning,
Andrew Y. Ng (2014)
Grounded Compositional Semantics for Finding and Describing Images
with Sentences
[11] Feng, S., Banerjee, R., Choi, Y (2012)
Syntactic Stylometry for Deception Detection
[12] De Marneffe et al. (2006)
Generating Typed Dependency Parses from Phrase Structure Parses
[13] Mohit Iyyer Jordan Boyd-Graber Leonardo Claudino (2014)
A Neural Network for Factoid Question Answering over Paragraphs
[14] Nicholas Usunier, Jason Wetson, Samy Bengio (2011)
Scaling upto Large Vocabulary Image Notation
[15] Feng, V., Hirst, G (2013)
Detecting deceptive opinion with profile compatibility

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