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A Survey on Automated Fact-Checking [article]

Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos
2021 arXiv   pre-print
Therefore, researchers have been exploring how fact-checking can be automated, using techniques based on natural language processing, machine learning, knowledge representation, and databases to automatically  ...  Finally, we highlight challenges for future research.  ...  The authors would like to thank Rami Aly, Christos Christodoulopoulos, Nedjma Ousidhoum, and James Thorne for useful comments and suggestions.  ... 
arXiv:2108.11896v2 fatcat:qq5b347rtnd3hh65g6535zotly

The Future of Misinformation Detection: New Perspectives and Trends [article]

Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu
2019 arXiv   pre-print
As a promising and rapid developing research field, we find that many efforts have been paid to new research problems and approaches of MID.  ...  We further investigate the extraction and usage of various crowd intelligence in MID, which paves a promising way to tackle MID challenges.  ...  [25] propose the ExFaKT with the aim of providing human understandable explanations for candidate facts, which combines the semantic evidence from text and knowledge graphs.  ... 
arXiv:1909.03654v1 fatcat:34h2os2pzrbm3kqluk5uajtr6i

Explainable Automated Fact-Checking for Public Health Claims [article]

Neema Kotonya, Francesca Toni
2020 arXiv   pre-print
We present the first study of explainable fact-checking for claims which require specific expertise. For our case study we choose the setting of public health.  ...  Our results indicate that, by training on in-domain data, gains can be made in explainable, automated fact-checking for claims which require specific expertise.  ...  The first author is supported by a doctoral training grant from the UK Engineering and Physical Sciences Research Council (EPSRC).  ... 
arXiv:2010.09926v1 fatcat:2ocrenbzcrbsrf3nc5sg34z4ee

Explainable methods for knowledge graph refinement and exploration via symbolic reasoning [article]

Mohamed Hassan Mohamed Gad-Elrab, Universität Des Saarlandes
The output of ExFaKT is a set of semantic traces for the candidate facts from both text and the KG.  ...  RuLES improves the quality of the learned rules and their predictions. • To support KG validation, we propose ExFaKT, a framework for constructing humancomprehensible explanations for candidate facts.  ...  Chapter 5 (Explainable fact checking) combines the output of both: [Gad-Elrab et al., 2019] Gad-Elrab, M. H., . ExFaKT: A Framework for Explaining Facts over Knowledge Graphs and Text.  ... 
doi:10.22028/d291-34423 fatcat:hvpoxkfc5zgmbce32pfbcvmejy

Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era

Preslav Nakov, Giovanni Da San Martino
2020 Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts   unpublished
Limiting the impact of these negative developments has become a major focus for journalists, social media companies, and regulatory authorities.  ...  The rise of social media has democratized content creation and has made it easy for anybody to share and to spread information online.  ...  Gad-Elrab, Daria Stepanova, Jacopo Urbani, and Gerhard Weikum. 2019a. ExFaKT: A framework for explaining facts over knowledge graphs and text.  ... 
doi:10.18653/v1/2020.emnlp-tutorials.2 fatcat:eepxagil4bfwdbbtzopgo72lra