Fetching the paper…
Reading the bibliography…
Deepfake detection, the task of automatically discriminating machine-generated text, is increasingly critical with recent advances in natural language generative models.
Real or fake? learning to discriminate machine from human generated text
Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc’Aurelio Ranzato, and Arthur Szlam. 2019 · 1906
Earlier work this paper cites.
Gltr: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M Rush. 2019 · 1906
Earlier work this paper cites.
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 · 1907
Earlier work this paper cites.
Are we safe yet? the limitations of distributional features for fake news detection
Tal Schuster, Roei Schuster, Darsh J Shah, and Regina Barzilay. 2019 · 1908
Earlier work this paper cites.
Evaluating the factual consistency of abstractive text summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher. 2019 · 1910
Earlier work this paper cites.
Human and automatic detection of generated text
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, and Douglas Eck. 2019 · 1911
Earlier work this paper cites.
Weak supervision for fake news detection via reinforcement learning
Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, and Jing Gao. 2019 · 1912
Earlier work this paper cites.
Fake news detection with different models
Sairamvinay Vijayaraghavan, Ye Wang, Zhiyuan Guo, John Voong, Wenda Xu, Armand Nasseri, Jiaru Cai, Linda Li, Kevin Vuong, and Eshan Wadhwa. 2020 · 2003
Earlier work this paper cites.
Identifying real or fake articles: Towards better language modeling
Sameer Badaskar, Sachin Agarwal, and Shilpa Arora. 2008 · 2008
Cited alongside, same era.
Social media and fake news in the 2016 election
Hunt Allcott and Matthew Gentzkow. 2017 · 2016
Cited alongside, same era.
Partisanship, propaganda, and disinformation: Online media and the 2016 us presidential election
Robert Faris, Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler. 2017 · 2016
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
Cited alongside, same era.
Automatic detection of fake news
Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, and Rada Mihalcea. 2017 · 2017
Cited alongside, same era.
Fever: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
Later among the works it cites.
The spread of true and false news online
Soroush Vosoughi, Deb Roy, and Sinan Aral. 2018 · 2018
Later among the works it cites.
Wikipedia2vec: An efficient toolkit for learning and visualizing the embeddings of words and entities from wikipedia
Ikuya Yamada, Akari Asai, Jin Sakuma, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji, and Yuji Matsumoto. 2018 · 2018
Later among the works it cites.
Assessing the factual accuracy of generated text
Ben Goodrich, Vinay Rao, Peter J Liu, and Mohammad Saleh. 2019 · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Matthew E Peters, Waleed Ammar, Chandra Bhagavatula, and Russell Power. 2017 · 2017
Cited alongside, same era.
Fake news and alternative facts: Information literacy in a post-truth era
Nicole A Cooke. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
Later among the works it cites.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
Later among the works it cites.
Generating sentiment-preserving fake online reviews using neural language models and their human-and machine-based detection
David Ifeoluwa Adelani, Haotian Mai, Fuming Fang, Huy H Nguyen, Junichi Yamagishi, and Isao Echizen. 2020 · 2020
Closest in time.