1,792
Views
10
CrossRef citations to date
0
Altmetric
Articles

Visually Assessing the First Lady in a Digital Age: A Study of Michelle Obama as Portrayed by Journalists and the White House

Pages 43-67 | Published online: 04 Feb 2015
 

Abstract

In a digital age in which the First Lady’s image is captured and disseminated by many different outlets, this article proposes the development of a coding instrument using Goffman’s (1979) gender displays as a new method for exploring the visual frames of the First Lady. Given the manner in which photographs are disseminated via the Internet by both official and journalistic sources, this new coding instrument takes into consideration the different vantage points that these image capturers have. Until recently, visual gender display frames of the First Lady from differing outlets have not been easily studied separately, given the fact that images disseminated by the White House had to go through the journalistic gate prior to dispersion. Ultimately, the study of photos of the First Lady as she appears in the “media” was mixed and confounded journalistic and official framing. The Internet has changed all of this and opens opportunities to study these framing sources separately. As a test of a new coding instrument to study these different framing sources, this article assesses Michelle Obama in her gender portrayal from two different framing sources: journalists and the White House. This visual content analysis demonstrates and supports the use of a new context-independent coding instrument, borrowing from Goffman’s gender displays as a method for visually studying the First Lady.

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 385.00 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.