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Algorithmic Folk Theories and Identity: How TikTok Users Co..:
Karizat, Nadia
;
Delmonaco, Dan
;
Eslami, Motahhare
.
Proceedings of the ACM on Human-Computer Interaction. 5 (2021) CSCW2 - p. 1-44 , 2021
Link:
https://dl.acm.org/doi/10.1145/3476046
RT Journal T1 <Title>Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3476046&Exemplar=1&LAN=DE A1 Karizat, Nadia A1 Delmonaco, Dan A1 Eslami, Motahhare A1 Andalibi, Nazanin PB ACM YR 2021 SN 2573-0142 K1 algorithm K1 algorithmic identity K1 algorithmic privilege K1 algorithmic representational harm K1 algorithmic resistance K1 algorithmic symbolic annihilation K1 co-production K1 folk theories K1 identity K1 identity strainer theory K1 marginalization K1 marginalized identity K1 social media K1 Human-centered computing K1 Collaborative and social computing K1 Human computer interaction (HCI) K1 Empirical studies in HCI JF Proceedings of the ACM on Human-Computer Interaction VO 5 IS CSCW2 SP 1 OP 44 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3476046 DO https://dl.acm.org/doi/10.1145/3476046 SF ELIB - SuUB Bremen
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