Computational Literary Studies and Mental Health
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Description
A project combining English literature, experimental psychology, and computational linguistics, with a focus on entropy, abstraction, and mental health. James Carney's current research investigates how mental illness interacts with textual structures – specifically, using machine learning to investigate the potential therapeutic qualities of literature with different levels of entropy (unpredictability) and abstraction, for anxiety disorders versus depression. We also touch on wider questions of motivation in the health humanities and literary studies, the appeal of belief in the transformative power of literature, and the expansion of textual/computational inquiry out into structural anthropology. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/
More Episodes
Exploring the dangers of Disney’s take on poverty, mental health, and relationships. With backgrounds in medical humanities and school therapy and social work, Jenifer Fisher and Nikki York describe a recent project analysing Disney films in terms of how they depict poverty and mental illness and...
Published 09/12/18
A series of narrative workshops helping make life better for fat people. Drawing on training in social science and medicine respectively, Rachel Fox and Kelly Park describe a series of workshops for medical students and fat participants designed to combat weight stigma. They outline their...
Published 09/12/18
An introduction to an often overlooked context for using narrative in healthcare: public health. A creative writer and public health practitioner and researcher, Lise Saffran explains the practice and rationale for using narrative in public health as opposed to clinical or medical contexts. We...
Published 09/12/18