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Dehumanization is a pernicious psychological process that often leads toextreme intergroup bias, hate speech, and violence aimed at targeted socialgroups. Despite these serious consequences and the wealth of available data,dehumanization has not yet been computationally studied on a large scale.Drawing upon social psychology research, we create a computational linguisticframework for analyzing dehumanizing language by identifying linguisticcorrelates of salient components of dehumanization. We then apply thisframework to analyze discussions of LGBTQ people in the New York Times from1986 to 2015. Overall, we find increasingly humanizing descriptions of LGBTQpeople over time. However, we find that the label homosexual has emerged to bemuch more strongly associated with dehumanizing attitudes than other labels,such as gay. Our proposed techniques highlight processes of linguisticvariation and change in discourses surrounding marginalized groups.Furthermore, the ability to analyze dehumanizing language at a large scale hasimplications for automatically detecting and understanding media bias as wellas abusive language online.

A Framework for the Computational Linguistic Analysis of Dehumanization