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The past decade has seen a substantial rise in the amount of mis- and disinformation online, from targeted disinformation campaigns to influence politics, to the unintentional spreading of misinformation about public health.
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“Fast & Furious Fact Check Challenge”, 2016
Diane Francis · 2016
Cited alongside, same era.
“The Rise of Fact-Checking Sites in Europe”
Lucas Graves and Federica Cherubini · 2016
Cited alongside, same era.
“Rumor Identification and Belief Investigation on Twitter”
Sardar Hamidian and Mona Diab · 2016
Cited alongside, same era.
“Bots, #strongerin and #brexit: Computational Propaganda during the UK-EU Referendum”
Phillip Howard and Bence Kollany · 2016
Cited alongside, same era.
“Investigating the influence of noise and distractors on the interpretation of neural networks”
Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller and Sven Dähne · 2016
Cited alongside, same era.
“IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Domain Dependency and Distributional Semantics Features for Aspect Based Sentiment Analysis”
“Truth is what happens to news: On journalism, fake news, and post-truth”
Silvio Waisbord · 2018
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“GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding”
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy and Samuel. Bowman · 2018
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“The Copenhagen Team Participation in the Factuality Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 Fact Checking Lab”
Dongsheng Wang, Jakob Simonsen, Birger Larsen and Christina Lioma · 2018
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“Jack the Reader – A Machine Reading Framework”
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Florence, Italy: Association for Computational Linguistics, 2019
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