930
Views
1
CrossRef citations to date
0
Altmetric
Articles

A revealing generation? Exploring the blogging of adolescent girls in Sweden

&
Pages 46-64 | Published online: 11 Feb 2015
 

Abstract

Blogging has become one of the most common Internet activities among young females, but research on this phenomenon is scarce. This study explores the blogging of Swedish adolescent girls. Seeing that blogs is a forum for self-expression, this also gives a unique opportunity for the adolescent girls' own voices to be heard. A directed content analysis was conducted on 204 blog entries, written by 34 female adolescent bloggers (aged 13–19). Major topics, major actors, and emotional tone, among other elements, were analyzed. Results showed that the bloggers most frequently wrote about daily routines, expressed strong emotions, and were themselves the major actors in the entries. A majority revealed detailed information about themselves, but there was also a degree of self-censoring. The findings are further discussed in relation to identity and developmental aspects of adolescence. In conclusion, we suggest that blogs may bring a sense of control to young females in how they represent themselves, as well as an opportunity to process and reflect on past and present events in their daily lives.

Acknowledgements

This work was funded by the Swedish Research Council for Health, Working Life and Welfare [grant number 2011-0553].

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 153.00 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.