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Abstract
Automated extraction of quantitative linguistic features has the potential to predict objectively the onset and progression of psychosis. These linguistic variables are often considered to be biomarkers, with a large emphasis placed on the pathological aberrations in the biological processes that underwrite the faculty of language in psychosis. This perspective offers a reminder that human language is primarily a social device that is biologically implemented. As such, linguistic aberrations in patients with psychosis reflect both social and biological processes affecting an individual. Failure to consider the sociolinguistic aspects of NLP measures will limit their usefulness as digital tools in clinical settings. In the context of psychosis, considering language as a biosocial marker could lead to less biased and more accessible tools for patient-specific predictions in the clinic.
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1 University of Western Ontario, Department of Psychiatry, Schulich School of Medicine and Dentistry, London, Canada (GRID:grid.39381.30) (ISNI:0000 0004 1936 8884); University of Western Ontario, Department of Medical Biophysics, Schulich School of Medicine and Dentistry, London, Canada (GRID:grid.39381.30) (ISNI:0000 0004 1936 8884); University of Western Ontario, Robarts Research Institute, London, Canada (GRID:grid.39381.30) (ISNI:0000 0004 1936 8884); Lawson Health Research Institute, London, Canada (GRID:grid.415847.b) (ISNI:0000 0001 0556 2414)