Automated Fact-Checking for Assisting Human Fact-Checkers

Nakov, Preslav; Corney, David; Hasanain, Maram; Alam, Firoj; Elsayed, Tamer; Barrón-Cedeño, Alberto; Papotti, Paolo; Shaar, Shaden; Martino, Giovanni Da San

doi:10.24963/ijcai.2021/619

Automated Fact-Checking for Assisting Human Fact-Checkers

Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino

Download BibTeX Cite

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Survey Track. Pages 4551-4558.

https://doi.org/10.24963/ijcai.2021/619

Keywords

Natural language processing: General
Machine learning: General

Abstract

The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians and other key players enjoy direct access to their audiences through social media, bypassing the filters of official cables or traditional media. However, the multiple advantages of free speech and direct communication are dimmed by the misuse of media to spread inaccurate or misleading claims. These phenomena have led to the modern incarnation of the fact-checker --- a professional whose main aim is to examine claims using available evidence and to assess their veracity. Here, we survey the available intelligent technologies that can support the human expert in the different steps of her fact-checking endeavor. These include identifying claims worth fact-checking, detecting relevant previously fact-checked claims, retrieving relevant evidence to fact-check a claim, and actually verifying a claim. In each case, we pay attention to the challenges and the potential impact on real-world fact-checking.

Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, and Giovanni Da San Martino. 2021. Automated Fact-Checking for Assisting Human Fact-Checkers. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4551–4558. https://doi.org/10.24963/ijcai.2021/619

@inproceedings{ijcai2021p619,
  title     = {Automated Fact-Checking for Assisting Human Fact-Checkers},
  author    = {Nakov, Preslav and Corney, David and Hasanain, Maram and Alam, Firoj and Elsayed, Tamer and Barrón-Cedeño, Alberto and Papotti, Paolo and Shaar, Shaden and Martino, Giovanni Da San},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4551--4558},
  year      = {2021},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2021/619},
  url       = {https://doi.org/10.24963/ijcai.2021/619},
}

TY  - CPAPER
TI  - Automated Fact-Checking for Assisting Human Fact-Checkers
AU  - Nakov, Preslav
AU  - Corney, David
AU  - Hasanain, Maram
AU  - Alam, Firoj
AU  - Elsayed, Tamer
AU  - Barrón-Cedeño, Alberto
AU  - Papotti, Paolo
AU  - Shaar, Shaden
AU  - Martino, Giovanni Da San
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4551
EP  - 4558
DO  - 10.24963/ijcai.2021/619
UR  - https://doi.org/10.24963/ijcai.2021/619
ER  -