RMIT University
Browse

"I will not hate myself because you cannot accept me": Problematizing empowerment and gender-diverse selfies

journal contribution
posted on 2024-11-02, 08:22 authored by Son Vivienne
© 2017 Taylor & Francis. While selfies of beautiful cisgender women are declaimed by mainstream media as narcissistic and facile, some body-positive feminists and queer theorists argue that selfies can be empowering. They claim self-representation by traditionally stigmatized people can challenge normative presentations of beauty and gender. This article problematizes "empowerment" as a definitive and/or productive frame and argues instead for observation and analysis of "privilege" in situated practice. In this article I combine analysis of a collection of online cultural artifacts (including nonbinary selfies on Tumblr) and interviews with a small group of trans* social media storytellers to explore theoretical tensions between gender fluidity and identity fragmentation across multiple social media sites and practices. Gender-diverse digital self-representation encompasses both "consistent" androgyny, nonbinary, agender, and so on, and "emergent" presentations-in-flux. I assert that the ongoing iteration of self across social media-implied by self (re)presentation-can have simultaneous and contradictory political significance. I conclude that networked interpersonal complications frame understandings of empowerment, as perhaps they always have done.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1080/15405702.2016.1269906
  2. 2.
    ISSN - Is published in 15405702

Journal

Popular Communication

Volume

15

Issue

2

Start page

126

End page

140

Total pages

15

Publisher

Routledge

Place published

United States

Language

English

Copyright

© 2017 Taylor & Francis

Former Identifier

2006086234

Esploro creation date

2020-06-22

Fedora creation date

2018-12-10

Usage metrics

    Scholarly Works

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC