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Title: TrClaim-19: The First Collection for Turkish Check-Worthy Claim Detection with Annotator Rationales
Authors: Kartal, Yavuz Selim
Kutlu, Mücahid
Issue Date: Nov-2020
Publisher: Association for Computational Linguistics
Source: Kartal, Y. S., & Kutlu, M. (2020, November). TrClaim-19: The First Collection for Turkish Check-Worthy Claim Detection with Annotator Rationales. In Proceedings of the 24th Conference on Computational Natural Language Learning (pp. 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.
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering

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