Algorithmic Authenticity: An Overview
Project Author
Issue Date
2023-01-01
Authors
Bounegru, Liliana
Devries, Melody
Harris, Amy
holtzclaw, hannah
Jucan, Ioana B.
Juhasz, Alexandra
Kamish, D.W.
Langlois, Ganaele
Proctor, Jasmine
Tomlinson, Christine
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Keywords
Information disorder , Algorithms , Authentication , Race , Digital capitalism , Fact-checking , Digital society , Politics , Misinformation , Gender , Performance , Relationality , Truth
Distribution
Abstract
What makes information feel true or compelling in our contemporary digital societies? This book brings together different disciplinary understandings of “authenticity” in order to find alternative ways to approach mis- and disinformation that go beyond contemporary fact-checking and its search for the “authentic” truth. Patterned under the algorithmic flows of digital capitalism, authenticity itself is subject to variation, iteration, and outside influence. Linking cross-disciplinary research on the history and practices of algorithmic authenticity points to new research questions to understand the impact of algorithmic authenticity on social life and its role in contemporary information disorder.
Description
Chair
Major
Department
Communication, Media, and Performance
Recorder
License
This Publication is licensed under the CC-BY-SA 4.0 International. To view a copy of this license, visit: http://creativecommons.org/licenses/by-sa/4.0/.
Citation
Bounegru, Liliana, Melody Devries and Amy Harris. Algorithmic Authenticity: An Overview. melon press, 2023.
Version
Published version
Honors
Publisher
melon press