HBKU - QCRI
Arabic Fact-Checking and Stance Detection Corpus

Abstract
This is a novel Arabic corpus that unifies stance detection, stance rationale, relevant document retrieval and fact checking. The corpus contains 422 claims that are made about the war in Syria and related Middle East political issues, where each claim is labeled for factuality, indicating whether they are True or False The corpus also contains 3,042 articles that are retrieved for these claims, where each claim-article pair is annotated for stance indicating whether the article agrees, disagrees, discusses or is unrelated to the claim. The corpus also points to which sentence(s) from the articles corresponds to the stance rationale. 

Publications

  • R. Baly, M. Mohtarami, J. Glass, L. M`arquez, A. Moschitti, and P. Nakov, “Integrating stance detection and fact checking in a unified corpus,” in Proceedings of the 16th annual conference of the north american chapter of the association for computational linguistics, New Orleans, LA, USA, 2018.
    [BibTeX]
    @InProceedings{Baly:NAACL:2018,
    title = {Integrating Stance Detection and Fact Checking in a Unified Corpus},
    author = {Baly, Ramy and Mohtarami, Mitra and Glass, James and M`arquez, Llu'is and Moschitti, Alessandro and Nakov, Preslav},
    booktitle = {Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics},
    series = {NAACL-HLT~'18},
    address = {New Orleans, LA, USA},
    month = {June},
    year = {2018}
    }