Cargando…

Women Are Seen More than Heard in Online Newspapers

Feminist news media researchers have long contended that masculine news values shape journalists’ quotidian decisions about what is newsworthy. As a result, it is argued, topics and issues traditionally regarded as primarily of interest and relevance to women are routinely marginalised in the news,...

Descripción completa

Detalles Bibliográficos
Autores principales: Jia, Sen, Lansdall-Welfare, Thomas, Sudhahar, Saatviga, Carter, Cynthia, Cristianini, Nello
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4740422/
https://www.ncbi.nlm.nih.gov/pubmed/26840432
http://dx.doi.org/10.1371/journal.pone.0148434
_version_ 1782413842230280192
author Jia, Sen
Lansdall-Welfare, Thomas
Sudhahar, Saatviga
Carter, Cynthia
Cristianini, Nello
author_facet Jia, Sen
Lansdall-Welfare, Thomas
Sudhahar, Saatviga
Carter, Cynthia
Cristianini, Nello
author_sort Jia, Sen
collection PubMed
description Feminist news media researchers have long contended that masculine news values shape journalists’ quotidian decisions about what is newsworthy. As a result, it is argued, topics and issues traditionally regarded as primarily of interest and relevance to women are routinely marginalised in the news, while men’s views and voices are given privileged space. When women do show up in the news, it is often as “eye candy,” thus reinforcing women’s value as sources of visual pleasure rather than residing in the content of their views. To date, evidence to support such claims has tended to be based on small-scale, manual analyses of news content. In this article, we report on findings from our large-scale, data-driven study of gender representation in online English language news media. We analysed both words and images so as to give a broader picture of how gender is represented in online news. The corpus of news content examined consists of 2,353,652 articles collected over a period of six months from more than 950 different news outlets. From this initial dataset, we extracted 2,171,239 references to named persons and 1,376,824 images resolving the gender of names and faces using automated computational methods. We found that males were represented more often than females in both images and text, but in proportions that changed across topics, news outlets and mode. Moreover, the proportion of females was consistently higher in images than in text, for virtually all topics and news outlets; women were more likely to be represented visually than they were mentioned as a news actor or source. Our large-scale, data-driven analysis offers important empirical evidence of macroscopic patterns in news content concerning the way men and women are represented.
format Online
Article
Text
id pubmed-4740422
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-47404222016-02-11 Women Are Seen More than Heard in Online Newspapers Jia, Sen Lansdall-Welfare, Thomas Sudhahar, Saatviga Carter, Cynthia Cristianini, Nello PLoS One Research Article Feminist news media researchers have long contended that masculine news values shape journalists’ quotidian decisions about what is newsworthy. As a result, it is argued, topics and issues traditionally regarded as primarily of interest and relevance to women are routinely marginalised in the news, while men’s views and voices are given privileged space. When women do show up in the news, it is often as “eye candy,” thus reinforcing women’s value as sources of visual pleasure rather than residing in the content of their views. To date, evidence to support such claims has tended to be based on small-scale, manual analyses of news content. In this article, we report on findings from our large-scale, data-driven study of gender representation in online English language news media. We analysed both words and images so as to give a broader picture of how gender is represented in online news. The corpus of news content examined consists of 2,353,652 articles collected over a period of six months from more than 950 different news outlets. From this initial dataset, we extracted 2,171,239 references to named persons and 1,376,824 images resolving the gender of names and faces using automated computational methods. We found that males were represented more often than females in both images and text, but in proportions that changed across topics, news outlets and mode. Moreover, the proportion of females was consistently higher in images than in text, for virtually all topics and news outlets; women were more likely to be represented visually than they were mentioned as a news actor or source. Our large-scale, data-driven analysis offers important empirical evidence of macroscopic patterns in news content concerning the way men and women are represented. Public Library of Science 2016-02-03 /pmc/articles/PMC4740422/ /pubmed/26840432 http://dx.doi.org/10.1371/journal.pone.0148434 Text en © 2016 Jia et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jia, Sen
Lansdall-Welfare, Thomas
Sudhahar, Saatviga
Carter, Cynthia
Cristianini, Nello
Women Are Seen More than Heard in Online Newspapers
title Women Are Seen More than Heard in Online Newspapers
title_full Women Are Seen More than Heard in Online Newspapers
title_fullStr Women Are Seen More than Heard in Online Newspapers
title_full_unstemmed Women Are Seen More than Heard in Online Newspapers
title_short Women Are Seen More than Heard in Online Newspapers
title_sort women are seen more than heard in online newspapers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4740422/
https://www.ncbi.nlm.nih.gov/pubmed/26840432
http://dx.doi.org/10.1371/journal.pone.0148434
work_keys_str_mv AT jiasen womenareseenmorethanheardinonlinenewspapers
AT lansdallwelfarethomas womenareseenmorethanheardinonlinenewspapers
AT sudhaharsaatviga womenareseenmorethanheardinonlinenewspapers
AT cartercynthia womenareseenmorethanheardinonlinenewspapers
AT cristianininello womenareseenmorethanheardinonlinenewspapers