Evidence map›Paper›PMID 36466702›Full record

ArticleHumanities & social sciences communications2022

Cyber violence caused by the disclosure of route information during the COVID-19 pandemic.

Ying Lian, Yueting Zhou, Xueying Lian, Xuefan Dong

Open access · goldAbstract read
In one paragraph

Article in Humanities & social sciences communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Measuring Cyber Interpersonal Violence in Adolescents: Development and Validation of the CyIVIA Instrument.European journal of investigation in health, psychology and education · 2025
    Article
  2. Article
  3. Characteristics and Treatment of Cyberviolence Trauma in Children and Adolescents.Journal of the Korean Academy of Child and Adolescent Psychiatry · 2024
    Article
  4. Article
  5. 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

4 authors at 2 institutions in 1 country.

Ying LianSchool of Journalism, Communication University of China, No.1 Dingfuzhuang East Street, 100024 Beijing, People's Republic of China.
Yueting ZhouSchool of Journalism, Communication University of China, No.1 Dingfuzhuang East Street, 100024 Beijing, People's Republic of China.
Xueying LianCollege of Economics and Management, Beijing University of Technology, 100124 Beijing, People's Republic of China.
Xuefan DongCollege of Economics and Management, Beijing University of Technology, 100124 Beijing, People's Republic of China.ORCID 0000-0002-2318-4805
Beijing University of Technology · CNCommunication University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disclosure of patients' travel route information by government departments has been an effective and indispensable pandemic prevention and control measure during the COVID-19 pandemic. However, this measure may make patients susceptible to cyber violence (CV). We selected 13 real cases that occurred in China during the COVID-19 pandemic for analysis. We identified several characteristics that commonly appeared due to route information, such as rumors about and moral condemnation of patients, and determined that patients who are the first locally confirmed cases of a particular wave of the pandemic are more likely to be the victims of CV. We then analyzed and compared six real cases using data mining and network analysis approaches. We found that disclosing travel route information increases the risk of exposing patients to CV, especially those who violate infection prevention regulations. In terms of disseminating information, we found that mainstream media and influential we-media play an essential role. Based on the findings, we summarized the formation mechanism of route information disclosure-caused CV and proposed three practical suggestions-namely, promote the publicity of the media field with the help of mainstream media and influential we-media, optimize the route information collection and disclosure system, and ease public anxiety about the COVID-19 pandemic. To our knowledge, this study is one of the first to focus on CV on social media during the COVID-19 pandemic. We believe that our findings can help governments better carry out pandemic prevention and control measures on a global scale.

Indexed as

Cultural and media studiesScience, technology and societySocial policy

Identifiers

PMID36466702
PMCPMC9702928
OpenAlexW4310056584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.