Fact-checking resources, links to publications
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This repository serves as a curated collection of resources for automated fact-checking (AFC), primarily stemming from two survey papers: "A Survey on Automated Fact-Checking" and "Multimodal Automated Fact-Checking: A Survey." It targets researchers and practitioners in NLP and AI interested in understanding and advancing the field of AFC, offering a structured overview of tasks, datasets, models, and relevant research.
How It Works
The repository organizes resources based on the established AFC pipeline: claim detection/extraction, evidence retrieval, and claim verification (including verdict prediction and justification production). It also categorizes related tasks like manipulation classification and out-of-context classification, reflecting the evolution of AFC to include multimodal and LLM-specific challenges. The structure aims to provide a comprehensive, up-to-date landscape of the AFC research domain.
Quick Start & Requirements
This repository is a collection of links to papers, datasets, and code. There are no direct installation or execution commands. Users will need to follow the links provided to access the individual resources.
Highlighted Details
Maintenance & Community
The repository is actively maintained, with updates noted for December 2024 (adding LLM factuality) and August 2024 (adding papers from WWW, IJCAI, ACL).
Licensing & Compatibility
The repository itself is a collection of links and does not have a specific license. Individual resources (papers, datasets, code) will have their own licenses.
Limitations & Caveats
This repository is a curated list of external resources and does not provide any executable code or integrated tools for automated fact-checking itself. Users must navigate to the linked resources to utilize them.
5 months ago
Inactive