Detecting hate speech online: a case of Croatian (CROSBI ID 695140)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kocijan, Kristina ; Košković, Lucija ; Bajac, Petra
engleski
Detecting hate speech online: a case of Croatian
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.
hate speech ; insults ; pattern detection ; information extraction ; syntactic grammars ; Croatian ; NooJ
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Podaci o prilogu
185-197.
2020.
objavljeno
Podaci o matičnoj publikaciji
Formalizing natural languages with NooJ 2019 and its natural language processing applications : revised selected papers
Fehri, Hela ; Mesfar, Slim ; Silberztein, Max
Springer
978-3-030-38832-4
Podaci o skupu
Nepoznat skup
predavanje
29.02.1904-29.02.2096
Povezanost rada
Filologija, Informacijske i komunikacijske znanosti