2,019
Views
13
CrossRef citations to date
0
Altmetric
Articles

Perceived long-term outcomes of early traditional and Cyberbullying victimization among emerging adults

ORCID Icon &
Pages 91-109 | Received 10 Jan 2019, Accepted 17 Nov 2019, Published online: 27 Nov 2019
 

ABSTRACT

The purpose of this study is to investigate long-term outcomes of traditional bullying and cyberbullying victimization during childhood and adolescence. Today's emerging adults are the first generation that could have been victimized both offline and online. In order to understand the perceived impact of past bullying victimization on emerging adulthood, the biographic-narrative interpretive method (BNIM) was used among 10 emerging adults aged between 19 and 25 who were bullied both offline and online during multiple years of childhood and/or adolescence. The results showed that the emerging adults attributed a wide range of outcomes to early bullying victimization. Emerging adults perceived impacts on one's current social interacting, including sharing personal information and coping with conflicts, aggression, and bullying, and who one is as an emerging adult (i.e. one's anxieties, self-esteem, empathy, and resilience).

Additional information

Funding

This research was funded by the Research Foundation Flanders (FWO-Vlaanderen), grant number 12J8216N. The funding source has no involvement in the study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 224.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.