Networked tactics for gender representation in the news

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.

Department dc:contributor.department

Program in Media Arts and Sciences (Massachusetts Institute of Technology)

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2013

Author dc:creator

• Matias, J. Nathan (Jorge Nathan)

Advisor dc:contributor.advisor

• Ethan Zuckerman.

• Architecture. Program in Media Arts and Sciences.

Statement 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/82429

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/82429