Linguistic Models for Analyzing and Detecting Biased Language
Linguistic Models for Analyzing and Detecting Biased Language
Marta Recasens,Cristian Danescu-Niculescu-Mizil,Dan Jurafsky
2013 · DBLP: conf/acl/RecasensDJ13
Annual Meeting of the Association for Computational Linguistics · 350회 인용
TLDR
The analysis of real instances of human edits designed to remove bias from Wikipedia articles uncovers two classes of bias: framing bias, such as praising or perspective-specific words, which is linked to the literature on subjectivity; and epistemological bias, related to whether propositions that are presupposed or entailed in the text are uncontroversially accepted as true.
