Explainable Automated Fact-Checking: A Survey

7 November 2020

Papers citing "Explainable Automated Fact-Checking: A Survey"

35 / 35 papers shown

Title
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking Greta Warren Irina Shklovski Isabelle Augenstein OffRL 104 9 0 13 Feb 2025
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 242 252 0 19 Oct 2020
Generating Label Cohesive and Well-Formed Adversarial Claims Pepa Atanasova Dustin Wright Isabelle Augenstein AAML 37 42 0 17 Sep 2020
Fact or Fiction: Verifying Scientific Claims David Wadden Shanchuan Lin Kyle Lo Lucy Lu Wang Madeleine van Zuylen Arman Cohan Hannaneh Hajishirzi HAI 77 440 0 30 Apr 2020
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification Lianwei Wu Y. Rao Yongqiang Zhao Hao Liang Ambreen Nazir 27 59 0 28 Apr 2020
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media Yi-Ju Lu Cheng-Te Li GNN 83 392 0 24 Apr 2020
Generating Fact Checking Explanations Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein 45 193 0 13 Apr 2020
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking Andreas Hanselowski Christian Stab Claudia Schulz Zile Li Iryna Gurevych 48 122 0 29 Oct 2019
Fine-grained Fact Verification with Kernel Graph Attention Network Zhenghao Liu Chenyan Xiong Maosong Sun Zhiyuan Liu 65 221 0 22 Oct 2019
BERT for Evidence Retrieval and Claim Verification Shrishti Saha Shetu Christof Monz E. Mabande RALM 47 121 0 07 Oct 2019
TMLab: Generative Enhanced Model (GEM) for adversarial attacks P. Niewinski M. Pszona M. Janicka VLM GAN 13 14 0 01 Oct 2019
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims Isabelle Augenstein Christina Lioma Dongsheng Wang Lucas Chaves Lima Casper Hansen Christian B. Hansen J. Simonsen HILM 105 250 0 07 Sep 2019
TabFact: A Large-scale Dataset for Table-based Fact Verification Wenhu Chen Hongmin Wang Jianshu Chen Yunkai Zhang Hong Wang Shiyang Li Xiyou Zhou William Yang Wang LMTD 51 488 0 05 Sep 2019
Fact-Checking Meets Fauxtography: Verifying Claims About Images Dimitrina Zlatkova Preslav Nakov Ivan Koychev 33 85 0 30 Aug 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 385 1,439 0 22 Aug 2019
Towards Debiasing Fact Verification Models Tal Schuster Darsh J. Shah Yun Jie Serene Yeo Daniel Filizzola Enrico Santus Regina Barzilay 74 210 0 14 Aug 2019
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 32 901 0 13 Aug 2019
XFake: Explainable Fake News Detector with Visualizations Fan Yang Shiva K. Pentyala Sina Mohseni Mengnan Du Hao Yuan Rhema Linder Eric D. Ragan Shuiwang Ji Xia Hu 57 118 0 08 Jul 2019
Explainable Fact Checking with Probabilistic Answer Set Programming N. Ahmadi Joohyung Lee Paolo Papotti Mohammed Saeed 37 54 0 21 Jun 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 80 1,307 0 26 Feb 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 362 634 0 04 Dec 2018
Combining Fact Extraction and Verification with Neural Semantic Matching Networks Yixin Nie Haonan Chen Joey Tianyi Zhou FedML 41 302 0 16 Nov 2018
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning Kashyap Popat Subhabrata Mukherjee Andrew Yates Gerhard Weikum HILM 43 300 0 17 Sep 2018
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification Andreas Hanselowski Huatian Zhang Zile Li Daniil Sorokin Benjamin Schiller Claudia Schulz Iryna Gurevych 36 181 0 03 Sep 2018
A Retrospective Analysis of the Fake News Challenge Stance Detection Task Andreas Hanselowski S. AvineshP.V. Benjamin Schiller Felix Caspelherr Debanjan Chaudhuri Christian M. Meyer Iryna Gurevych 31 238 0 13 Jun 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 95 1,621 0 14 Mar 2018
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation Menaka Narayanan Emily Chen Jeffrey He Been Kim S. Gershman Finale Doshi-Velez FAtt XAI 77 241 0 02 Feb 2018
Automatic Detection of Fake News Verónica Pérez-Rosas Bennett Kleinberg Alexandra Lefevre Rada Mihalcea 52 779 0 23 Aug 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 370 21,459 0 22 May 2017
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection William Yang Wang HILM GNN 65 1,349 0 01 May 2017
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours Leon Derczynski Kalina Bontcheva Maria Liakata Rob Procter Geraldine Wong Sak Hoi A. Zubiaga HILM 31 348 0 20 Apr 2017
A Stylometric Inquiry into Hyperpartisan and Fake News Martin Potthast Johannes Kiesel K. Reinartz Janek Bevendorff Benno Stein 48 614 0 18 Feb 2017
Enhanced LSTM for Natural Language Inference Qian Chen Xiao-Dan Zhu Zhenhua Ling Si Wei Hui Jiang Diana Inkpen LRM ReLM 59 1,128 0 20 Sep 2016
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 304 1,369 0 06 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 420 16,765 0 16 Feb 2016