Selected Publications
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Watch Me Play: Twitch and the Rise of Game Live Streaming (2018)
From Professor T.L. Taylor comes her look at the revolution in game live streaming and esports broadcasting.
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Internet Killed the Michelin Star: The Motives of Narrative and Style in Food Text Creation on Social Media
While the underlying purpose of the construction and consumption of food texts remain the same from analog to digital form, the authority of food culture and its complimentary narrative control has shifted as a result of the convergence of food texts and digital media affordances.
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Dispatches from Planet 3: Thirty-Two (Brief) Tales on the Solar System, the Milky Way, and Beyond (2018)
“These pieces will transport you to ancient Mars, when water flowed freely across its surface; to the collision of two black holes, a cosmological event that released fifty times more energy than was radiating from every star in the universe; and to the beginning of time itself.”
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Just Say No to “Just Say No”: Tensions in Organizational Approaches to Youth and Online Privacy in the Americas
This thesis examines organizational practices in the field of youth online privacy in the Americas. Mariel García-Montes describes harms created by protective, universalist, individualistic approaches that pose youth as conditional citizens, and makes a case for approaches based instead on youth agency, intersectional views of privacy, collective responsibility, and the recognition of youth as subjects of rights today.
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New report: “#MoreThanCode: Practitioners reimagine the landscape of technology for justice and equity”
Published by the Technology for Social Justice Project, including CMS/W co-authors Associate Professor Sasha Costanza-Chock and recent master’s student Maya Wagoner, S.M., ’17.
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Design Justice, A.I., and Escape from the Matrix of Domination
Associate Professor Sasha Costanza-Chock: “What paths, then, might lead us out of the matrix of domination?”
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Evaluating the Robustness of Learning Analytics Results Against Fake Learners
“The goal of this study is to evaluate the robustness of learning analytics results when the data contain a considerable number of fake learners.”
