2026-09-19T12:34:33Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/824292022-01-18T16:34:49Zcom_1721.1_122963com_1721.1_7582com_1721.1_7581col_1721.1_122964col_1721.1_131023
Ethan Zuckerman.
Matias, J. Nathan (Jorge Nathan)
Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2013-11-18T19:22:05Z
2013-11-18T19:22:05Z
2013
2013
http://hdl.handle.net/1721.1/82429
862823957
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).
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.
by J. Nathan Matias.
S.M.
108 p.
eng
Massachusetts Institute of Technology
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
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http://dspace.mit.edu/handle/1721.1/7582
Architecture. Program in Media Arts and Sciences.
Networked tactics for gender representation in the news
Thesis
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