Analiza čustev v družbeno nesprejemljivem diskurzu
DOI:
https://doi.org/10.4312/slo2.0.2022.1.1-22Ključne besede:
čustva, družbeno nesprejemljivi diskurz (DND), sovražni govor, družbena omrežja, korpusiPovzetek
Besedila pogosto izražajo avtorjevo čustveno stanje in pokazalo se je, da imajo informacije o čustvih potencial za odkrivanje in analizo sovražnega govora. V prispevku predstavljamo kvantitativno metodologijo analize čustev v besedilu. Na podlagi leksikona čustev NRC Emotion Lexicon in Plutchikovega modela osmih osnovnih čustev smo definirali preprosto, a učinkovito metodo za odkrivanje čustvene zaznamovanosti besedila. Z navedeno metodologijo smo raziskali čustveno zaznamovanost besedil, označenih kot družbeno nesprejemljivi diskurz (DND), ki predstavlja izrazito in potencialno škodljivo vrsto besedila ter se dandanes hitro širi na družbenih omrežjih. Metodo čustvene zaznamovanosti smo aplicirali na korpus komentarjev s Facebooka. Primerjavo in analizo smo izvajali na štirih zbirkah podatkov v dveh jezikih, in sicer v angleščini in slovenščini, ter na dveh temah, pravice LGBT+ skupnosti in evropska migrantska kriza. Ugotovili smo, da je vsebina DND komentarjev bistveno bolj čustvena od tistih, ki ne vsebujejo DND. Poleg tega smo pokazali razlike v izražanju čustev glede na jezik, temo in tarčo komentarjev. Izsledke kvantitativne metodologije analize čustev smo podprli s kvalitativno analizo korpusa, kjer smo preučili najpogostejše čustveno zaznamovane besede, povezane z vsakim čustvom v vseh štirih zbirkah podatkov. Ugotovili smo, da se čustveno zaznamovane besede v DND bistveno razlikujejo glede na temo, medtem ko obstaja med jeziki precejšnje prekrivanje.
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Avtorske pravice (c) 2022 Jasmin Franza, Bojan Evkoski, Darja Fišer
To delo je licencirano pod Creative Commons Priznanje avtorstva-Deljenje pod enakimi pogoji 4.0 mednarodno licenco.
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