PERSPECTIVE article
Front. Psychol.
Sec. Addictive Behaviors
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1579604
This article is part of the Research TopicTechnologies for Mental Health: Toward a Computational Psychology?View all articles
Regulating Addictive Algorithms and Designs: Protecting Older Adults from Digital Exploitation Beyond a Youth-Centric Approach
Provisionally accepted
- China Jiliang University, Hangzhou, China
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As digital technologies evolve, addictive algorithms and designs (aADs) have become a significant public health concern, particularly for older adults, a demographic often overlooked in digital addiction (DA) discourse. Compared to younger users, some older adults may face increased susceptibility to aADs due to factors such as cognitive changes, social isolation, physical comorbidities, or limited digital literacy. These designs, which exploit features like infinite scrolling, are associated with higher risk of compulsive use and may correlate with long-term impacts on cognitive health, social functioning, and quality of life for certain subgroups of older adults. Existing regulatory frameworks predominantly focus on protecting minors, often neglecting the distinct needs and vulnerabilities within aging populations. This paper advances a pluralistic governance framework that recognizes the diversity among older adults. Recommended measures include behaviorally informed disclosures, algorithmic transparency, tailored digital literacy programs, culturally responsive safeguards, and antitrust actions against exploitative design. Age-inclusive regulation is urgently needed to address potential risks of digital dependency, mental health concerns, and social inequalities among aging populations. Addressing these challenges requires collaboration across sectors to ensure digital environments support autonomy and well-being at all ages.
Keywords: Digital Addiction, addictive algorithms and designs, older adults, Mental Health, physical health, Digital vulnerability, digital exploitation
Received: 20 Feb 2025; Accepted: 16 Jul 2025.
Copyright: © 2025 Yao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yu Yao, China Jiliang University, Hangzhou, China
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