@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T TrClaim-19: The First Collection for Turkish Check-Worthy Claim Detection with Annotator Rationales
%A Kartal, Yavuz Selim
%A Kutlu, Mucahid
%Y Fernández, Raquel
%Y Linzen, Tal
%S Proceedings of the 24th Conference on Computational Natural Language Learning
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F kartal-kutlu-2020-trclaim
%X 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.
%R 10.18653/v1/2020.conll-1.31
%U https://aclanthology.org/2020.conll-1.31
%U https://doi.org/10.18653/v1/2020.conll-1.31
%P 386-395
Markdown (Informal)
[TrClaim-19: The First Collection for Turkish Check-Worthy Claim Detection with Annotator Rationales](https://aclanthology.org/2020.conll-1.31) (Kartal & Kutlu, CoNLL 2020)
ACL