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Description:: Algorithmically-driven social platforms present a challenge for self-presentation and identity management by obscuring audiences behind algorithmic mechanisms. Users are increasingly aware of this and actively adapting through folk theorization, but we do not know how users are coping with the constant change endemic to these platforms. We also do not...
Keyword:: human computer interaction, folk theorization, lbgtq, folk theories, and algorithmic literacy
Subject:: Cognitive psychology, Information science, and Computer science
Creator:: DeVito, Michael Ann
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_779819 and http://dissertations.umi.com/northwestern:15378

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