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Adaptive Folk Theorization as a Path to Algorithmic Literacy on Changing Platforms

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Michael Ann DeVitoAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW2

Article No.: 339, Pages 1 - 38

https://doi.org/10.1145/3476080

Published: 18 October 2021 Publication History

Abstract

The increased importance of opaque, algorithmically-driven social platforms (e.g., Facebook, YouTube) to everyday users as a medium for self-presentation effectively requires users to speculate on how platforms work in order to decide how to behave to achieve their self-presentation goals. This speculation takes the form of folk theorization. Because platforms constantly change, users must constantly re-evaluate their folk theories. Based on an Asynchronous Remote Community study of LGBTQ+ social platform users with heightened self-presentation concerns, I present an updated model of the folk theorization process to account for platform change. Moreover, I find that both the complexity of the user's folk theorization and their overall relationship with the platform impact this theorization process, and present new concepts for examining and classifying these elements: theorization complexity level and perceived platform spirit. I conclude by proposing a folk theorization-based path towards an extensible algorithmic literacy that would support users in ongoing theorization.

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Pinch ABirnholtz JChaudary JTripathi PRawat SDange AKornfield R(2024)Queerness and Mental Health in India: An Intersectional Approach to Sensitive Social Media DisclosuresSocial Media + Society10.1177/2056305124130214510:4Online publication date: 19-Nov-2024
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Cotter KRitchart ADe AFoyle KKanthawala SMcAtee HWatson T(2024)If you’re reading this, it’s meant for you: The reflexive ambivalence of algorithmic conspiritualityConvergence: The International Journal of Research into New Media Technologies10.1177/13548565241258949Online publication date: 3-Jun-2024
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Index Terms

Adaptive Folk Theorization as a Path to Algorithmic Literacy on Changing Platforms
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI
2. Social and professional topics
  1. User characteristics

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 5, Issue CSCW2

CSCW2

October 2021

5376 pages

EISSN:2573-0142

DOI:10.1145/3493286

Editor:
Jeff Nichols
Apple Inc., United States

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Published: 18 October 2021

Published in PACMHCI Volume 5, Issue CSCW2

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Pinch ABirnholtz JChaudary JTripathi PRawat SDange AKornfield R(2024)Queerness and Mental Health in India: An Intersectional Approach to Sensitive Social Media DisclosuresSocial Media + Society10.1177/2056305124130214510:4Online publication date: 19-Nov-2024
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https://doi.org/10.1177/13548565241258949
Alizadeh FLawo DStevens GZytko DEslami M(2024)When the "Matchmaker" Does Not Have Your Interest at Heart: Perceived Algorithmic Harms, Folk Theories, and Users' Counter-Strategies on TinderProceedings of the ACM on Human-Computer Interaction10.1145/36897108:CSCW2(1-29)Online publication date: 8-Nov-2024
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