Evidence map›Paper›PMID 42812820›Full record

ReviewPsychology research and behavior management2026

The Impact of Digital Platform Rules on the Mental Health of Minors and the Response of Chinese Law: An Analysis Based on Therapeutic Jurisprudence.

Jie Zhang, Jun Li

Abstract readReview
In one paragraph

Review in Psychology research and behavior management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jie ZhangLaw School, Xinjiang University, Urumqi, Xinjiang, 830046, People's Republic of China.
Jun LiLaw School, Xinjiang University, Urumqi, Xinjiang, 830046, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adopting Therapeutic Jurisprudence (TJ) as its theoretical framework and employing the methods of literature analysis and normative analysis, this paper conceptualizes the rules of recommendation algorithms, quantitative feedback, open social connectivity, and automated review procedures as structural arrangements that shape the psychological experiences of minors, and examines their potential mental health implications. The analysis suggests that these rules may affect the mental health of minors along four dimensions-autonomous will, self-perception, relational trust, and procedural trust-and that, in operation, these rules are interwoven and mutually reinforcing. However, China's current regulatory model places disproportionate emphasis on content governance and usage management, while the regulation of designated platforms and the Minor Mode likewise face obstacles in implementation, making it hard to respond effectively to the structural shaping of minors' psychological experiences by platform rules. By examining pioneering governance experiences at the international level, this paper compares the normative functions of different institutional instruments in the protection of minors' mental health and the conditions of their application. On this basis, the paper argues that the normative objectives of safeguarding minors' self-determination, maintaining reasonable trust, and realizing procedural justice should guide the construction of a psychologically friendly digital normative environment for minors, and that institutional arrangements covering the entire process of platform use should be established, encompassing psychological impact assessment, proactive identification and default protection, and restorative protection of rights.

Indexed as

algorithmic recommendationdigital well-beinglegal protectionplatform governancetherapeutic jurisprudence

Identifiers

PMID42812820
PMCPMC13621951

What OpenQuestion holds

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Registered trials

None linked

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.