Evidence map›Paper›PMID 42317683›Full record

ArticleFrontiers in psychology2026

Digital technology use intensity and public safety perception: the moderating roles of victimization experience and safety values.

Zihao Ding, Zhengyang Li, Yang Luo, Yuhao Wang, Zhongyi Liu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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

5 authors.

Zihao DingSchool of Public Security Management, People's Public Security University of China, Beijing, China.
Zhengyang LiInvestigation College, People's Public Security University of China, Beijing, China.
Yang LuoSchool of Public Security, People's Public Security University of China, Beijing, China.
Yuhao WangSchool of Public Security Management, People's Public Security University of China, Beijing, China.
Zhongyi LiuSchool of Public Security Management, People's Public Security University of China, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Against the backdrop of deepening digitalization and increasingly differentiated public safety concerns, understanding how digital technology use shapes individuals' situated sense of security has become critical. Based on social cognitive theory, this study investigates the association between digital technology use intensity and individuals' public safety perception, operationalized as perceived neighborhood security after dark, with a specific focus on examining the moderating roles of victimization experience and safety values in this process. Methods: Utilizing large-scale data from the 2023 European Social Survey (ESS), hierarchical regression analysis was conducted on questionnaire data from 33,181 European residents after data cleaning. Results: The results reveal that: First, digital technology use intensity is significantly positively associated with individuals' public safety perception(B = 0.048, Discussion: These findings suggest a modest but robust psychological empowerment association of digital technology use intensity in relation to public safety perception, as examined through the lens of perceived neighborhood security, and uncover the complexity of its relationship with safety perception as well as key boundary conditions. The conclusions provide critical insights for public communication strategies and digital governance aimed at fostering informed and resilient communities in the digital era.

Indexed as

digital technology use intensitypublic safety perceptionsafety valuessocial cognitive theoryvictimization experience

Identifiers

PMID42317683
PMCPMC13272415

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.