prikaz prve stranice dokumenta Detecting Hate Speech Online: A Case of Croatian
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Znanstveni rad - Poglavlje u knjizi
Detecting Hate Speech Online: A Case of Croatian
U: Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications / Fehri, Hela; Mesfar, Slim; Silberztein, Max (ur.). Switzerland: Springer International Publishing, 2020. str. 185-197. https://doi.org/10.1007/978-3-030-38833-1_16
Kocijan, Kristina; Košković, Lucija; Bajac, Petra

Citirajte ovaj rad

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

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

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

Kocijan, K., Košković, L. i Bajac, P. (2020) 'Detecting Hate Speech Online: A Case of Croatian' u Fehri, H. (ur.), Mesfar, S. (ur.), Silberztein, M. (ur.) Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications Switzerland: Springer International Publishing, str. 185-197. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:131:462545 (Datum pristupa: 11.04.2024.)

Kocijan K, Košković L, Bajac P. Detecting Hate Speech Online: A Case of Croatian. U: H. Fehri, ur., S. Mesfar, ur., M. Silberztein, ur. Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications. Switzerland: Springer International Publishing; 2020. Str. 185-197. [pristupljeno 11.04.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:131:462545

K. Kocijan, L. Košković i 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 i M. Silberztein, Ur. Switzerland: Springer International Publishing, 2020, str. 185-197. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:131:462545

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Podaci o radu
Naslov (engleski)Detecting Hate Speech Online: A Case of Croatian
AutorKristina Kocijan
AutorLucija Košković
AutorPetra Bajac
UrednikHela Fehri
UrednikSlim Mesfar
UrednikMax Silberztein
Autorova ustanovaSveučilište u Zagrebu
Filozofski fakultet
(Odsjek za informacijske i komunikacijske znanosti)
Autorova ustanovaSveučilište u Zagrebu
Filozofski fakultet
(Odsjek za lingvistiku)
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Informacijske i komunikacijske znanosti
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Poglavlje u knjizi
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeZavršna verzija rukopisa prihvaćena za objavljivanje (postprint)
Naslov knjigeFormalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications
Naslov serijeCommunications in Computer and Information Science
Brojčani podacivol. 1153, str. 185-197
ISBN978-3-030-38833-1 (eBook ISBN)
ISBN978-3-030-38832-4 (Softcover ISBN)
p-ISSN1865-0929
DOIhttps://doi.org/10.1007/978-3-030-38833-1_16
URN:NBNurn:nbn:hr:131:462545
Datum objave publikacije2020-01
Vrsta resursaTekst
IzdavačSpringer International Publishing
Mjesto izdavanjaSwitzerland
Prava pristupaOgraničen pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2020-01-13 10:38:25