Reading Against Models: Feminist Text Analysis in Theory & Practice

Computational models increasingly and often imperceptibly shape our textually-mediated selves. From what we read and share through social media to how we find research materials to the words we choose when we write an email, algorithmic description and prediction of texts constructs much of our online (and arguably offline) activities. In this talk, Dr. Lisa Rhody will consider what it means to take a feminist approach to computational text analysis–both in the digital humanities classroom and in research. Taking seriously Sarah Ahmed’s challenge to “live a feminist life,” how might reading poetry computationally inform our understanding of implicit algorithmic biases? What would a feminist text analysis look like, and how might we teach it in the digital humanities classroom?

Questions?

Contact Scholars' Lab Assistant Director for Public Services Laura Miller.