Northwestern University

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Filtering by: Creator DeVito, Michael Ann Subject Computer science

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Presenting the Self on Unstable Ground: Adaptive Folk Theorization as a Path to Algorithmic Literacy on Changing Platforms

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