Evidence map›Paper›PMID 34124584›Full record

ArticleInternational journal of bullying prevention : an official publication of the International Bullying Prevention Association2022

Bullying-Related Tweets: a Qualitative Examination of Perpetrators, Targets, and Helpers.

Karla Dhungana Sainju, Akosua Kuffour, Lisa Young, Niti Mishra

Abstract read
In one paragraph

Article in International journal of bullying prevention : an official publication of the International Bullying Prevention Association, 2022. 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. Xenophobic Bullying and COVID-19: An Exploration Using Big Data and Qualitative Analysis.International journal of environmental research and public health · 2022
    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.

Karla Dhungana SainjuFaculty of Social Science and Humanities, Ontario Tech University, 2000 Simcoe St N, Oshawa, ON L1G 0C5 Canada.ORCID 0000-0002-5238-2771
Akosua KuffourFaculty of Social Science and Humanities, Ontario Tech University, 2000 Simcoe St N, Oshawa, ON L1G 0C5 Canada.
Lisa YoungFaculty of Social Science and Humanities, Ontario Tech University, 2000 Simcoe St N, Oshawa, ON L1G 0C5 Canada.
Niti MishraRotman School of Management, University of Toronto, 105 St George St, Toronto, ON M5S 3E6 Canada.ORCID 0000-0001-5544-7596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bullying literature notes that aside from the dyadic relationship of target and perpetrator, there are other participant roles in the bullying process including those that reinforce the perpetrator and those that stand up for the target. Most examinations of bullying roles have relied on self-reported data, which suffer from key limitations such as response and recall bias. Twitter data provides a way to overcome these limitations and extend our current understanding of bullying roles. The current study provides one of the first qualitative examinations of tweets to analyze the disclosure and sharing of bullying-related online and offline episodes. Through a qualitative content analysis, the study examines 780 tweets to analyze the descriptions and characteristics of three participant roles: the perpetrator, target, and helper. The results provide multidimensional insights into the context and relationships between bullying roles. The results reveal that each of the bullying role players tweet to share varying perspectives and the discussions transcend beyond just online exchanges. The results also confirm that Twitter is used not only as a channel for bullying but also as a tool for connection between the different role players. Implications of how Twitter can be leveraged to promote anti-bullying initiatives to educate and inform users about bullying, while also helping build resilience and emotional regulation, are discussed. Additionally, the study also has implications for artificial intelligence and can help to build improved classifiers to detect bullying-related discourse and content online.

Indexed as

Bullying rolesQualitative analysisSocial mediaTwitter

Identifiers

PMID34124584
PMCPMC8180542

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.