RMIT University
Browse

IT stereotypes in television shows

Download (584.73 kB)
conference contribution
posted on 2024-11-24, 00:48 authored by Amber McLeod, Helen Forgasz, Catherine Lang
Despite over 20 years of Information Technology (IT) intervention programs, the proportion of females in the discipline has decreased this century. The depiction of the IT profession on television is a significant source of information about IT careers and may influence student career decisions. In this study, the ways in which male and female IT expert characters were portrayed in five television shows were examined and compared. While many existing stereotypes were challenged, all IT expert characters displayed some stereotypical characteristics, with IT technicians portrayed in the most stereotypical way. Female characters were not as stereotypical as males; but also not well recognised. We posit that the male “geek” technician stereotype overshadows any alternative depictions of IT professionals and reinforces masculinization of the discipline. We suggest that parents and influential adults, the primary audience of these shows, should be included in any future discussions to break down IT media stereotypes.<p></p>

History

Related Materials

  1. 1.
    ISBN - Is published in 9780992449506 (urn:isbn:9780992449506)
  2. 2.
  3. 3.
  4. 4.

Number

2

Start page

1

End page

10

Total pages

10

Outlet

ACIS 2013: Information systems: Transforming the Future: Proceedings of the 24th Australasian Conference on Information Systems

Name of conference

ACIS 2013: Information systems: Transforming the Future: 24th Australasian Conference on Information Systems

Publisher

RMIT University

Place published

Melbourne, Australia

Start date

2013-12-04

End date

2013-12-06

Language

English

Copyright

@ 2013. The authors

Former Identifier

2006125163

Esploro creation date

2020-06-22

Fedora creation date

2014-10-08

Open access

  • Yes

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC