ReviewFrontiers in psychology2026
Law, neuroscience, and authenticity by design: protecting users' minds in the digital sphere.
Review in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
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Abstract
Contemporary digital technologies reshape human deliberation through micro-targeting, persuasive design, and algorithmic systems capable of anticipating and steering behaviour. Cognitive autonomy thus emerges as a central legal value. The analysis of the European normative framework, correlated with recent literature in neuroscience and behavioural economics, highlights the need to recognise mental integrity as an autonomous object of legal protection. Existing regulations structure data protection, digital competition, and commercial practices, while the dynamics of willformation call for distinct regulatory articulation. The article advances a transdisciplinary vision grounded in legal analysis, scientific knowledge, and technological design within a unified conceptual framework. The concept of Authenticity-by-Design is formulated as an operational model oriented toward cognitive impact assessments, standards of neutral design, and mechanisms of algorithmic transparency. Mental autonomy is conceptualised as an expression of dignity and a structural condition of freedom in an algorithmic society.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.