Social Bias Detection in Text Using NLP and their Associations with People’s Opinions

Although recent works have applied sophisticated NLP methods to quantify social bias in large corpora , there is still limited research regarding the associations between users’ beliefs and social bias expressed in online text. In this project, we are interested in filling this gap by exploring whether there are any associations between implicit social bias that different texts express with people’s beliefs on societal topics. In this way we will attempt to understand whether people consume information that confirms their beliefs or not and to which extent. (Funded by UU Focus Area Applied Data Science).