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Networked tactics for gender representation in the news

Author(s)
Matias, J. Nathan (Jorge Nathan)
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Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences.
Advisor
Ethan Zuckerman.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
This thesis presents research on gender disparities in online news, followed with three open source designs that attempt to address those disparities. Open Gender Tracker is a platform that applies automated gender analysis to electronic content sources. FollowBias is a behavioral experiment on the effectiveness of personal trackers to manage the biases of journalists and curators. Passing On uses data and stories to attract and coordinate participants to expand the visibility of women in Wikipedia. These three designs are offered as inspirations for a paradigm of technologies to measure and change women's representation in the news.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013.
 
Page 108 blank. Cataloged from PDF version of thesis.
 
Includes bibliographical references (p. 102-107).
 
Date issued
2013
URI
http://hdl.handle.net/1721.1/82429
Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Publisher
Massachusetts Institute of Technology
Keywords
Architecture. Program in Media Arts and Sciences.

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