@inproceedings{kartal-kutlu-2020-trclaim,
    title = "{T}r{C}laim-19: The First Collection for {T}urkish Check-Worthy Claim Detection with Annotator Rationales",
    author = "Kartal, Yavuz Selim  and
      Kutlu, Mucahid",
    editor = "Fern{\'a}ndez, Raquel  and
      Linzen, Tal",
    booktitle = "Proceedings of the 24th Conference on Computational Natural Language Learning",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.conll-1.31/",
    doi = "10.18653/v1/2020.conll-1.31",
    pages = "386--395",
    abstract = "Massive misinformation spread over Internet has many negative impacts on our lives. While spreading a claim is easy, investigating its veracity is hard and time consuming, Therefore, we urgently need systems to help human fact-checkers. However, available data resources to develop effective systems are limited and the vast majority of them is for English. In this work, we introduce TrClaim-19, which is the very first labeled dataset for Turkish check-worthy claims. TrClaim-19 consists of labeled 2287 Turkish tweets with annotator rationales, enabling us to better understand the characteristics of check-worthy claims. The rationales we collected suggest that claims' topics and their possible negative impacts are the main factors affecting their check-worthiness."
}