Automated Fact-Checking for Assisting Human Fact-Checkers

Author:

Nakov Preslav1,Corney David2,Hasanain Maram3,Alam Firoj1,Elsayed Tamer3,Barrón-Cedeño Alberto4,Papotti Paolo5,Shaar Shaden1,Da San Martino Giovanni6

Affiliation:

1. Qatar Computing Research Institute, HBKU

2. Full Fact

3. Qatar University

4. Universit`a di Bologna, Italy

5. EURECOM

6. University of Padova

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.

Publisher

International Joint Conferences on Artificial Intelligence Organization

Cited by 53 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Combining Large Language Models and Crowdsourcing for Hybrid Human-AI Misinformation Detection;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. What Is the Problem with Misinformation? Fact-checking as a Sociotechnical and Problem-Solving Practice;Journalism Studies;2024-06-09

3. Is checkworthiness generalizable? Evaluating task and domain generalization of datasets for claim detection;Neural Computing and Applications;2024-05-13

4. Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

5. FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

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