Sovražni govor v slovenskih spletnih uporabniških komentarjih

magistrsko delo

Taša Šegula (Author), Darinka Verdonik (Mentor)

Abstract

V zavetju anonimnosti digitalnega okolja smo priča uporabniškim vsebinam, ki so mnogokrat prizorišče nestrpnosti, diskriminacije in sovražnega govora. V okviru svoje raziskave se osredotočamo na pojavnost sovražnega govora v slovenskih spletnih uporabniških komentarjih, pri čemer analiziramo komentarje treh slovenskih medijev, in sicer RTV Slovenija, Mladina in Reporter. Ugotovitve kažejo, da tisti, ki udejanjijo sovražni govor, posegajo predvsem po posredno izraženem sovražnem govoru. Prav tako ugotavljamo, da lahko potegnemo vzporednice med pojavnostjo sovražnega govora znotraj medijske vsebine in pojavnostjo sovražnega govora v okviru uporabniških komentarjev. Ugotavljamo tudi, da se v sami realizaciji sovražnega govora le-ta najpogosteje realizira s pomočjo ironije, sarkazma, stereotipizacije in posmehovanja.

Keywords

sovražni govor;uporabniški komentarji;regulacija na spletu;regulacija sovražnega govora;magistrske naloge;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.09 - Master's Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[T. Šegula]
UDC:	004.774-026.12:004.934.1(043.2)
COBISS:	27326211
Views:	542
Downloads:	92
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Hate speech in slovenian user generated comments online
Secondary abstract:	In online user content we are often witnessing intolerance, discrimination and hate speech, which are results of anonymous digital environment. In our research we focused on hate speech in Slovenian user generated comments. We analyzed comments of three representatives of Slovenian media; RTV Slovenija, Mladina and Reporter. The findings of our research shows that users, who spread hate speech online, most often spread indirect hate speech. We also concluded that there is some connection between existing hate speech in media articles and hate speech in user generated comments. Our research also showed that users most often spread hate speech by irony, sarcasm and with ridicule.
Secondary keywords:	hate speech;user generated comments;web regulation;hate speech regulation;
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Medijske komunikacije
Pages:	VI, 60 f.
ID:	11838679