Fetching the paper…
Reading the bibliography…
Automatic fake news detection with machine learning can prevent the dissemination of false statements before they gain many views.
Detection of online fake news using n-gram analysis and machine learning techniques
Hadeer Ahmed, Issa Traore, and Sherif Saad. 2017 · 2017
Earlier work this paper cites.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
“liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang. 2017 · 2017
Earlier work this paper cites.
Fake news
William Lifferth. 2018 · 2018
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2018 · 2018
Earlier work this paper cites.
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. 2018 · 2018
Earlier work this paper cites.
A closer look at fake news detection: A deep learning perspective
Ayat Abedalla, Aisha Al-Sadi, and Malak Abdullah. 2019 · 2019
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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 · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Cited alongside, same era.
Electra: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020 · 2020
Cited alongside, same era.
Funnel-transformer: Filtering out sequential redundancy for efficient language processing
Zihang Dai, Guokun Lai, Yiming Yang, and Quoc V. Le. 2020 · 2020
Cited alongside, same era.
Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter
Martin Müller, Marcel Salathé, and Per E Kummervold. 2020 · 2020
Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2021
Later among the works it cites.
A benchmark study of machine learning models for online fake news detection
Junaed Younus Khan, Md. Tawkat Islam Khondaker, Sadia Afroz, Gias Uddin, and Anindya Iqbal. 2021 · 2021
Later among the works it cites.
Covid-19 fake news dataset
Abhishek Koirala. 2021 · 2021
Later among the works it cites.
A comprehensive review on fake news detection with deep learning
M. F. Mridha, Ashfia Jannat Keya, Md. Abdul Hamid, Muhammad Mostafa Monowar, and Md. Saifur Rahman. 2021 · 2021
Later among the works it cites.
Deep contextualized text representation and learning for fake news detection
Mohammadreza Samadi, Maryam Mousavian, and Saeedeh Momtazi. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2020 · 2020
Cited alongside, same era.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Xinyi Zhou and Reza Zafarani. 2020 · 2020
Cited alongside, same era.
Analysing the behavioural finance impact of ’fake news’ phenomena on financial markets: a representative agent model and empirical validation
Bryan Fong. 2021 · 2021
Cited alongside, same era.
Transformer based automatic covid-19 fake news detection system
Sunil Gundapu and Radhika Mamidi. 2021 · 2021
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. 2017a
Cited in the paper.
Exploiting tri-relationship for fake news detection
Kai Shu, Suhang Wang, and Huan Liu. 2017b
Cited in the paper.
Demystifying neural fake news via linguistic feature-based interpretation
Ankit Aich, Souvik Bhattacharya, and Natalie Parde. 2022 · 2022
Later among the works it cites.
A comparative study of machine learning and deep learning techniques for fake news detection
Jawaher Alghamdi, Yuqing Lin, and Suhuai Luo. 2022 · 2022
Later among the works it cites.
Simplistic collection and labeling practices limit the utility of benchmark datasets for twitter bot detection
Chris Hays, Zachary Schutzman, Manish Raghavan, Erin Walk, and Philipp Zimmer. 2023 · 2023
Closest in time.