Fetching the paper…
Reading the bibliography…
The proliferation of fake news and its propagation on social media has become a major concern due to its ability to create devastating impacts.
Divergence measures based on the shannon entropy
Jianhua Lin · 1991
Earlier work this paper cites.
A nearest neighbor bootstrap for resampling hydrologic time series
Upmanu Lall and Ashish Sharma · 1996
Earlier work this paper cites.
Multidimensional scaling
J Douglas Carroll and Phipps Arabie · 1998
Earlier work this paper cites.
A study using n-gram features for text categorization
Johannes Fürnkranz · 1998
Earlier work this paper cites.
Automatic early stopping using cross validation: quantifying the criteria
Lutz Prechelt · 1998
Earlier work this paper cites.
Early stopping-but when?
Lutz Prechelt · 1998
Earlier work this paper cites.
Latent dirichlet allocation
David M Blei, Andrew Y Ng, and Michael I Jordan · 2003
Earlier work this paper cites.
Are loss functions all the same?
Lorenzo Rosasco, Ernesto De Vito, Andrea Caponnetto, Michele Piana, and Alessandro Verri · 2004
Earlier work this paper cites.
Naive bayes spam filtering using word-position-based attributes
Johan Hovold · 2005
Earlier work this paper cites.
Model compression
Cristian Buciluǎ, Rich Caruana, and Alexandru Niculescu-Mizil · 2006
Earlier work this paper cites.
Syntactic stylometry for deception detection
Song Feng, Ritwik Banerjee, and Yejin Choi · 2012
Earlier work this paper cites.
The sarcasm detector, 2014
Mathieu Cliche · 2014
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning · 2014
Earlier work this paper cites.
Misleading online content: Recognizing clickbait as false news
Yimin Chen, Niall J Conroy, and Victoria L Rubin · 2015
Earlier work this paper cites.
Automatic deception detection: Methods for finding fake news
Niall J Conroy, Victoria L Rubin, and Yimin Chen · 2015
Earlier work this paper cites.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
Earlier work this paper cites.
Deception detection for news: three types of fakes
Victoria L Rubin, Yimin Chen, and Niall J Conroy · 2015
Earlier work this paper cites.
Empath: Understanding topic signals in large-scale text
Ethan Fast, Binbin Chen, and Michael S Bernstein · 2016
Earlier work this paper cites.
Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov · 2016
Earlier work this paper cites.
Fake news or truth? using satirical cues to detect potentially misleading news
Victoria Rubin, Niall Conroy, Yimin Chen, and Sarah Cornwell · 2016
Earlier work this paper cites.
Detection of online fake news using n-gram analysis and machine learning techniques
Hadeer Ahmed, Issa Traore, and Sherif Saad · 2017
Earlier work this paper cites.
Social media and fake news in the 2016 election
Hunt Allcott and Matthew Gentzkow · 2017
Earlier work this paper cites.
From clickbait to fake news detection: an approach based on detecting the stance of headlines to articles
Peter Bourgonje, Julian Moreno Schneider, and Georg Rehm · 2017
Cited alongside, same era.
Evaluating machine learning algorithms for fake news detection
Shlok Gilda · 2017
Cited alongside, same era.
Fake news detection using naive bayes classifier
Mykhailo Granik and Volodymyr Mesyura · 2017
Cited alongside, same era.
Trump’s lies
David Leonhardt and Stuart A Thompson · 2017
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
Cited alongside, same era.
Truth of varying shades: Analyzing language in fake news and political fact-checking
Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, and Yejin Choi · 2017
Mvae: Multimodal variational autoencoder for fake news detection
Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, and Vasudeva Varma · 2019
Closest in time.
Team yeon-zi at semeval-2019 task 4: Hyperpartisan news detection by de-noising weakly-labeled data
Nayeon Lee, Zihan Liu, and Pascale Fung · 2019
Closest in time.
Exploiting bert for end-to-end aspect-based sentiment analysis
Xin Li, Lidong Bing, Wenxuan Zhang, and Wai Lam · 2019
Closest in time.
Fine-tune bert for extractive summarization
Yang Liu · 2019
Closest in time.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Csi: A hybrid deep model for fake news detection
Natali Ruchansky, Sungyong Seo, and Yan Liu · 2017
Cited alongside, same era.
Fake news detection on social media: A data mining perspective
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu · 2017
Cited alongside, same era.
3han: A deep neural network for fake news detection
Sneha Singhania, Nigel Fernandez, and Shrisha Rao · 2017
Cited alongside, same era.
Some like it hoax: Automated fake news detection in social networks
Eugenio Tacchini, Gabriele Ballarin, Marco L Della Vedova, Stefano Moret, and Luca de Alfaro · 2017
Cited alongside, same era.
Fake news stance detection using stacked ensemble of classifiers
James Thorne, Mingjie Chen, Giorgos Myrianthous, Jiashu Pu, Xiaoxuan Wang, and Andreas Vlachos · 2017
Cited alongside, same era.
” liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang · 2017
Cited alongside, same era.
Closest in time.
Fine-grained sentiment classification using bert
Manish Munikar, Sushil Shakya, and Aakash Shrestha · 2019
Closest in time.
Yifan Peng, Shankai Yan, and Zhiyong Lu · 2019
Closest in time.
Alberto: Italian bert language understanding model for nlp challenging tasks based on tweets
Marco Polignano, Pierpaolo Basile, Marco de Gemmis, Giovanni Semeraro, and Valerio Basile · 2019
Closest in time.
Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 2019
Closest in time.
defend: Explainable fake news detection
Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, and Huan Liu · 2019
Closest in time.
How to fine-tune bert for text classification?
Chi Sun, Xipeng Qiu, Yige Xu, and Xuanjing Huang · 2019
Closest in time.
Bert rediscovers the classical nlp pipeline
Ian Tenney, Dipanjan Das, and Ellie Pavlick · 2019
Closest in time.
Network-based fake news detection: A pattern-driven approach
Xinyi Zhou and Reza Zafarani · 2019
Closest in time.
Arabert: Transformer-based model for arabic language understanding
Wissam Antoun, Fady Baly, and Hazem Hajj · 2020
Closest in time.
Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning · 2020
Closest in time.
Ginger cannot cure cancer: Battling fake health news with a comprehensive data repository
Enyan Dai, Yiwei Sun, and Suhang Wang · 2020
Closest in time.
Survey on fake news detection techniques
Sanjeev M Dwivedi and Sunil B Wankhade · 2020
Closest in time.
Comparing bert against traditional machine learning text classification
Santiago González-Carvajal and Eduardo C Garrido-Merchán · 2020
Closest in time.
A hybrid approach for fake news detection in twitter based on user features and graph embedding
Tarek Hamdi, Hamda Slimi, Ibrahim Bounhas, and Yahya Slimani · 2020
Closest in time.
Application of the bert-based architecture in fake news detection
Sebastian Kula, Michał Choraś, and Rafał Kozik · 2020
Closest in time.
Deep learning based text classification: A comprehensive review
Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, and Jianfeng Gao · 2020
Closest in time.
An overview of online fake news: Characterization, detection, and discussion
Xichen Zhang and Ali A Ghorbani · 2020
Closest in time.