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COVID-19 related misinformation and fake news, coined an 'infodemic', has dramatically increased over the past few years.
Diffusion of lexical change in social media
Jacob Eisenstein, Brendan O’Connor, Noah A Smith, and Eric P Xing · 1932
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Probabilistic lipschitzness a niceness assumption for deterministic labels
Ruth Urner and Shai Ben-David · 2013
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A survey on concept drift adaptation
Joao Gama, Indre Zliobaite, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia · 2014
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Snorkel: Rapid training data creation with weak supervision
Alexander Ratner, Stephen H Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher Ré · 2017
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Shield: Fast, practical defense and vaccination for deep learning using jpeg compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E Kounavis, and Duen Horng Chau · 2018
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Triplet-center loss for multi-view 3d object retrieval
Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, and Xiang Bai · 2018
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To trust or not to trust a classifier
Heinrich Jiang, Been Kim, Melody Guan, and Maya Gupta · 2018
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Taku Kudo and John Richardson · 2018
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut · 2019
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Covid 19 Fake News Dataset
Isha Agarwal · 2020
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Mayee F Chen, Daniel Y Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, and Christopher Ré · 2020
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Coaid: Covid-19 healthcare misinformation dataset
Limeng Cui and Dongwon Lee · 2020
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The different forms of covid-19 misinformation and their consequences
Adam M Enders, Joseph E Uscinski, Casey Klofstad, and Justin Stoler · 2020
Cited alongside, same era.
Fast and three-rious: Speeding up weak supervision with triplet methods
Daniel Fu, Mayee Chen, Frederic Sala, Sarah Hooper, Kayvon Fatahalian, and Christopher Ré · 2020
Cited alongside, same era.
Characterizing covid-19 misinformation communities using a novel twitter dataset
Shahan Ali Memon and Kathleen M Carley · 2020
Cited alongside, same era.
A stance data set on polarized conversations on twitter about the efficacy of hydroxychloroquine as a treatment for covid-19
Ece C Mutlu, Toktam Oghaz, Jasser Jasser, Ege Tutunculer, Amirarsalan Rajabi, Aida Tayebi, Ozlem Ozmen, and Ivan Garibay · 2020
Cited alongside, same era.
Misinformation in action: Fake news exposure is linked to lower trust in media, higher trust in government when your side is in power
Katherine Ognyanova, David Lazer, Ronald E Robertson, and Christo Wilson · 2020
A brief review of domain adaptation
Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed, and Hamid R Arabnia · 2021
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Dafd: Domain adaptation framework for fake news detection
Yinqiu Huang, Min Gao, Jia Wang, and Kai Shu · 2021
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Mcnnet: generalizing fake news detection with a multichannel convolutional neural network using a novel covid-19 dataset
Rohit Kumar Kaliyar, Anurag Goswami, and Pratik Narang · 2021
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Multi-source domain adaptation with weak supervision for early fake news detection
Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton Faber, Cameron Fiddes, Elaine Chen, and Kai Shu · 2021
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Covid-19 Fake News Dataset (Kaggle)
Sameer Patel · 2021
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The instagram infodemic: cobranding of conspiracy theories, coronavirus disease 2019 and authority-questioning beliefs
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Cited alongside, same era.
Beyond artificial reality: Finding and monitoring live events from social sensors
Calton Pu, Abhijit Suprem, Rodrigo Alves Lima, Aibek Musaev, De Wang, Danesh Irani, Steve Webb, and Joao Eduardo Ferreira · 2020
Cited alongside, same era.
How does lipschitz regularization influence gan training?
Yipeng Qin, Niloy Mitra, and Peter Wonka · 2020
Cited alongside, same era.
Odin: Automated drift detection and recovery in video analytics
Abhijit Suprem, Joy Arulraj, Calton Pu, and Joao Ferreira · 2020
Cited alongside, same era.
On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
Cited alongside, same era.
Transformer-based language model fine-tuning methods for covid-19 fake news detection
Ben Chen, Bin Chen, Dehong Gao, Qijin Chen, Chengfu Huo, Xiaonan Meng, Weijun Ren, and Yang Zhou · 2021
Cited alongside, same era.
A covid-19 rumor dataset
Mingxi Cheng, Songli Wang, Xiaofeng Yan, Tianqi Yang, Wenshuo Wang, Zehao Huang, Xiongye Xiao, Shahin Nazarian, and Paul Bogdan · 2021
Cited alongside, same era.
A heuristic-driven uncertainty based ensemble framework for fake news detection in tweets and news articles
Sourya Dipta Das, Ayan Basak, and Saikat Dutta · 2021
Cited alongside, same era.
Emma K Quinn, Sajjad S Fazel, and Cheryl E Peters · 2021
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End-to-end weak supervision
Salva Rühling Cachay, Benedikt Boecking, and Artur Dubrawski · 2021
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Textual characteristics of news title and body to detect fake news: a reproducibility study
Anu Shrestha and Francesca Spezzano · 2021
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Misinformation adoption or rejection in the era of covid-19
Maxwell Weinzierl, Suellen Hopfer, and Sanda M Harabagiu · 2021
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Shoring up the foundations: Fusing model embeddings and weak supervision
Mayee F Chen, Daniel Y Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, and Christopher Ré · 2022
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Exploring generalizability of fine-tuned models for fake news detection, 2022
Abhijit Suprem and Calton Pu · 2022
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Testing the generalization of neural language models for covid-19 misinformation detection
Jan Philip Wahle, Nischal Ashok, Terry Ruas, Norman Meuschke, Tirthankar Ghosal, and Bela Gipp · 2022
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