Detecting Hate Speech Online: A Case of Croatian

Kocijan, Kristina; Košković, Lucija; Bajac, Petra

doi:10.1007/978-3-030-38833-1_16

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Scientific paper - Chapter in Book

Detecting Hate Speech Online: A Case of Croatian

In: Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications / Fehri, Hela; Mesfar, Slim; Silberztein, Max (Ed.). Switzerland: Springer International Publishing, 2020. pp. 185-197. https://doi.org/10.1007/978-3-030-38833-1_16

Kocijan, Kristina; Košković, Lucija; Bajac, Petra

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APA 6th Edition

Kocijan, K., Košković, L. & Bajac, P. (2020). Detecting Hate Speech Online: A Case of Croatian. In H. Fehri, (Ed.), S. Mesfar, (Ed.), M. Silberztein, (Ed.), Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications (pp. 185-197). Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-38833-1_16

MLA 8th Edition

Kocijan, Kristina, et al. "Detecting Hate Speech Online: A Case of Croatian." Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications, edited by Hela Fehri, edited by Slim Mesfar, edited by Max Silberztein, Springer International Publishing, 2020, pp. 185-197. https://urn.nsk.hr/urn:nbn:hr:131:462545

Chicago 17th Edition

Kocijan, Kristina, Lucija Košković and Petra Bajac. "Detecting Hate Speech Online: A Case of Croatian." In Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications, edited by Hela Fehri, edited by Slim Mesfar, edited by Max Silberztein, 185-197. Switzerland: Springer International Publishing, 2020. https://urn.nsk.hr/urn:nbn:hr:131:462545

Harvard

Kocijan, K., Košković, L. and Bajac, P. (2020) 'Detecting Hate Speech Online: A Case of Croatian' in Fehri, H. (ed.), Mesfar, S. (ed.), Silberztein, M. (ed.) Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications Switzerland: Springer International Publishing, pp. 185-197. Available at: https://urn.nsk.hr/urn:nbn:hr:131:462545 (Accessed 14 September 2023)

Vancouver

Kocijan K, Košković L, Bajac P. Detecting Hate Speech Online: A Case of Croatian. In: H. Fehri, ed., S. Mesfar, ed., M. Silberztein, ed. Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications. Switzerland: Springer International Publishing; 2020. Pp. 185-197. [cited 2023 September 14] Available at: https://urn.nsk.hr/urn:nbn:hr:131:462545

IEEE

K. Kocijan, L. Košković and P. Bajac, "Detecting Hate Speech Online: A Case of Croatian", Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications, H. Fehri, S. Mesfar and M. Silberztein, Eds. Switzerland: Springer International Publishing, 2020, pp. 185-197. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:131:462545

Cite this item: https://urn.nsk.hr/urn:nbn:hr:131:462545

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Metadata

Title (english)	Detecting Hate Speech Online: A Case of Croatian
Author	Kristina Kocijan
Author	Lucija Košković
Author	Petra Bajac
Editor	Hela Fehri
Editor	Slim Mesfar
Editor	Max Silberztein
Author's institution	University of Zagreb Faculty of Humanities and Social Sciences (Department of information and Communication sciences)
Author's institution	University of Zagreb Faculty of Humanities and Social Sciences (Department of Linguistics)
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Information and Communication Sciences
Abstract (english)	This project proposes a NooJ algorithm with the task to find and categorize various slurs, insults and ultimately, hate speech in Croatian. The results also provide a more detailed insight into inappropriate language in Croatian. We strongly emphasize the ethical considerations of (mis)identifying hate speech and as a result, an unethical and undeserved censorship of inappropriate, but free speech. Thus, we tried to make a clear distinction between insults and hate speech. The test corpus consists of written online comments and remarks posted on five Croatian Facebook news pages during one week period. Given the differences between the standard Croatian grammar and syntax, and what is actually being used in informal on-line communication, the false negatives present the biggest difficulty since some variations (substandard usages of cases, spelling errors, colloquialisms) are impossible to predict, and therefore, extremely hard to implement into the algorithm.
Keywords (english)
Language	english
Publication type	Scientific paper - Chapter in Book
Publication status	Published
Peer review	Peer review - international
Publication version	Accepted version
Book title	Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications
Series title	Communications in Computer and Information Science
Numbering	vol. 1153, pp. 185-197
ISBN	978-3-030-38833-1 (eBook ISBN)
ISBN	978-3-030-38832-4 (Softcover ISBN)
p-ISSN	1865-0929
DOI	https://doi.org/10.1007/978-3-030-38833-1_16
URN:NBN	urn:nbn:hr:131:462545
Publication	2020-01
Type of resource	Text
Publisher	Springer International Publishing
Publishing place	Switzerland
Access conditions	Restricted access
Terms of use
Created on	2020-01-13 10:38:25