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Updated: Nov 27, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Conversational agents and the making of mental health recovery
Robert Meadows1, Christine Hine1, Eleanor Suddaby1
1Department of Sociology, University of Surrey, Guildford, Surrey, UK.
Background:
Artificial intelligence (AI) is said to be "transforming mental health". AI-based technologies and technique are now considered to have uses in almost every domain of mental health care: including decision-making, assessment and healthcare management. What remains underexplored is whether/how mental health recovery is situated within these discussions and practices.
Method:
Taking conversational agents as our point of departure, we explore the ways official online materials explain and make sense of chatbots, their imagined functionality and value for (potential) users. We focus on three chatbots for mental health: Woebot, Wysa and Tess.
Findings:
"Recovery" is largely missing as an overt focus across materials. However, analysis does reveal themes that speak to the struggles over practice, expertise and evidence that the concept of recovery articulates. We discuss these under the headings "troubled clinical responsibility", "extended virtue of (technological) self-care" and "altered ontologies and psychopathologies of time".
Conclusions:
Ultimately, we argue that alongside more traditional forms of recovery, chatbots may be shaped by, and shaping, an increasingly individualised form of a "personal recovery imperative".
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