Social meaning in contested language

I also contribute to computational social science projects on socially contested language. These projects use NLP methods to study how language reflects, organizes, and reshapes social and psychological categories.

This stream includes work on dehumanization, mental health stigma, identity/person-first language, and lay understandings of the common good.

Key questions

  • How are social groups evaluated, dehumanized, or morally characterized in language?
  • How do contested labels shape public understandings of people and categories?
  • How can computational methods capture stigma, social evaluation, and identity-relevant meaning?

Relevant work