Evidence map›Paper›PMID 35572339›Full record

ArticleFrontiers in psychology2022

To Be Ethical and Responsible Digital Citizens or Not: A Linguistic Analysis of Cyberbullying on Social Media.

Jinping Zhong, Jing Qiu, Min Sun, Xiunan Jin, Junyi Zhang, Yidong Guo, Xinxin Qiu, Yujie Xu, Jingxiu Huang, Yunxiang Zheng

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Jinping ZhongSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Jing QiuSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Min SunSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Xiunan JinSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Junyi ZhangSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Yidong GuoSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Xinxin QiuSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Yujie XuSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Jingxiu HuangSchool of Educational Information Technology, South China Normal University, Guangzhou, China.
Yunxiang ZhengSchool of Educational Information Technology, South China Normal University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a worldwide epidemic in the digital age, cyberbullying is a pertinent but understudied concern-especially from the perspective of language. Elucidating the linguistic features of cyberbullying is critical both to preventing it and to cultivating ethical and responsible digital citizens. In this study, a mixed-method approach integrating lexical feature analysis, sentiment polarity analysis, and semantic network analysis was adopted to develop a deeper understanding of cyberbullying language. Five cyberbullying cases on Chinese social media were analyzed to uncover explicit and implicit linguistic features. Results indicated that cyberbullying comments had significantly different linguistic profiles than non-bullying comments and that explicit and implicit bullying were distinct. The content of cases further suggested that cyberbullying language varied in the use of words, types of cyberbullying, and sentiment polarity. These findings offer useful insight for designing automatic cyberbullying detection tools for Chinese social networking platforms. Implications also offer guidance for regulating cyberbullying and fostering ethical and responsible digital citizens.

Indexed as

content analysiscyberbullyingdigital citizenlinguistic analysissocial media

Identifiers

PMID35572339
PMCPMC9100568

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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.