The feedback loop of social media, AI, and scientific definitions in clinical and counseling psychology: A utilitarian perspective.

Abstract

The rapid evolution of digital algorithms has transformed the way psychological concepts are disseminated and understood. While the feedback loop between public discourse and psychological terminology has always existed, social media and artificial intelligence have accelerated this process, potentially prioritizing engagement over scientific accuracy. This has contributed to increased awareness and reduced stigma around mental health but has also facilitated the spread of inaccuracies, potential for overpathologization, and departures from diagnostic criteria. This article explores the ethical implications of this evolving digital landscape through a utilitarian framework, weighing the benefits of expression and sharing personal experiences against the risks of conceptual shifts and diagnostic imprecision. Building upon existing ethical standards from the American Psychological Association, this article provides practical recommendations for clinical and counseling psychologists, including engaging with the evolving social media-artificial intelligence feedback loop by thoughtfully addressing diagnostic misperceptions, incorporating dimensional models into psychoeducation, and advocating for the ethical use of artificial intelligence to enhance clinical practice and research. This article also proposes new ethical guidelines to address how American Psychological Association's ethical principles apply to emerging challenges in a digital age. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

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