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Networked tactics for gender representation in the news

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dc.contributor.advisor Ethan Zuckerman. en_US
dc.contributor.author Matias, J. Nathan (Jorge Nathan) en_US
dc.contributor.other Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences. en_US
dc.date.accessioned 2013-11-18T19:22:05Z
dc.date.available 2013-11-18T19:22:05Z
dc.date.copyright 2013 en_US
dc.date.issued 2013 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/82429
dc.description Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013. en_US
dc.description Page 108 blank. Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (p. 102-107). en_US
dc.description.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. en_US
dc.description.statementofresponsibility by J. Nathan Matias. en_US
dc.format.extent 108 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights 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. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Architecture. Program in Media Arts and Sciences. en_US
dc.title Networked tactics for gender representation in the news en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.contributor.department Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences. en_US
dc.identifier.oclc 862823957 en_US


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