Evidence map›Paper›PMID 39827293›Full record

ArticleScientific reports2025

Public attitude and media governance of biometric information dissemination in the era of digital intelligence.

Wenyi Zhang, Hengtian Zhang, Zhouyang Deng

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Wenyi ZhangSchool of Information Management, Nanjing University, Nanjing, Jiangsu Province, China.
Hengtian ZhangDepartment of Chinese and Bilingual Studies, Faculty of Humanities, The Hong Kong Polytechnic University, Hong Kong, China. austinfreud21@gmail.com.
Zhouyang DengSchool of Publishing, Communication University of Zhejiang, Hangzhou, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Absrtact: In the era of digital intelligence, biometrics plays a critical role in mediating sensitive information dissemination, human-computer interaction, and governance in both virtual and real-world settings, including the evolving metaverse. Based on an empirical analysis of 1,862 participants, the current study investigated factors influencing public perception, acceptance, and risk awareness of biometric technologies. The findings highlight the critical roles of perceived trust (PT) and technical prudence (TP) in driving behavioral intentions (BI), with their positive effects outweighing the significant deterrent impact of perceived risks (PR). While PT and perceived availability (PA) significantly enhance the adoption of biometric technologies, TP exhibited an unexpected positive influence, suggesting that cautious users may still embrace biometrics if perceived as secure and trustworthy. These results emphasize the urgency of refining legal and regulatory frameworks, improving risk mitigation strategies, and enhancing user confidence to foster the responsible adoption and utilization of biometric technologies. This study offers valuable insights into the interplay of factors such as perceived trust, risks, and technological prudence in shaping behavioral intentions, contributing to a deeper understanding of biometrics in a rapidly digitizing society.

Indexed as

BiometryInformation DisseminationPublic OpinionAdultFemaleHumansMaleMiddle AgedTrustYoung AdultBiometricsMedia governancePerceived riskPerceived trustPublic attitude

Identifiers

PMID39827293
PMCPMC11742989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.