Governing human and machine behavior in an experimenting society

Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017.

Bibliographic Details
Main Author: Matias, J. Nathan (Jorge Nathan)
Other Authors: Ethan Zuckerman.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/112527
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author Matias, J. Nathan (Jorge Nathan)
author2 Ethan Zuckerman.
author_facet Ethan Zuckerman.
Matias, J. Nathan (Jorge Nathan)
author_sort Matias, J. Nathan (Jorge Nathan)
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description Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017.
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spelling mit-1721.1/1125272019-04-10T19:32:05Z Governing human and machine behavior in an experimenting society Matias, J. Nathan (Jorge Nathan) Ethan Zuckerman. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences (Massachusetts Institute of Technology) Program in Media Arts and Sciences () Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017. Cataloged from PDF version of thesis. Includes bibliographical references. We live in a culture that depends on technologies to record our behavior and coordinate our actions with billions of other connected people. In this computational culture, humans and machines continue to perpetuate deep-seated injustices. Our abilities to observe and intervene in other people's lives also allow us to govern, forcing us to ask how to govern wisely and who should be responsible. In this dissertation, I argue that to govern wisely, we need to remake large-scale social experiments to follow values of democracy. Using qualitative and quantitative methods, I spent time with hundreds of communities on the social news platform reddit and learned how they govern themselves. I designed CivilServant, novel experimentation software that communities have used to evaluate how they govern harassment and misinformation. Finally, I examined the uses of this evidence in community policy deliberation. As we develop ways to govern behavior through technology platforms, we have an opportunity to ensure that that the benefits will be enjoyed, questioned, and validated widely in an open society. Despite common views of social experiments as scarce knowledge that consolidates the power of experts, I show how community experiments can scale policy evaluation and expand public influence on the governance of human and machine behavior. by J. Nathan Matias. Ph. D. 2017-12-05T19:16:52Z 2017-12-05T19:16:52Z 2017 2017 Thesis http://hdl.handle.net/1721.1/112527 1012939695 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 206 pages application/pdf Massachusetts Institute of Technology
spellingShingle Program in Media Arts and Sciences ()
Matias, J. Nathan (Jorge Nathan)
Governing human and machine behavior in an experimenting society
title Governing human and machine behavior in an experimenting society
title_full Governing human and machine behavior in an experimenting society
title_fullStr Governing human and machine behavior in an experimenting society
title_full_unstemmed Governing human and machine behavior in an experimenting society
title_short Governing human and machine behavior in an experimenting society
title_sort governing human and machine behavior in an experimenting society
topic Program in Media Arts and Sciences ()
url http://hdl.handle.net/1721.1/112527
work_keys_str_mv AT matiasjnathanjorgenathan governinghumanandmachinebehaviorinanexperimentingsociety