Journal article
Proceedings of the ACM on Human-Computer Interaction, vol. 5, Association for Computing Machinery (ACM), 2021 Oct, pp. 1--44
APA
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Karizat, N., Delmonaco, D., Eslami, M., & Andalibi, N. (2021). Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance. Proceedings of the ACM on Human-Computer Interaction, 5, 1–44. https://doi.org/10.1145/3476046
Chicago/Turabian
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Karizat, Nadia, Dan Delmonaco, Motahhare Eslami, and Nazanin Andalibi. “Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance.” Proceedings of the ACM on Human-Computer Interaction 5 (October 2021): 1–44.
MLA
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Karizat, Nadia, et al. “Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance.” Proceedings of the ACM on Human-Computer Interaction, vol. 5, Association for Computing Machinery (ACM), Oct. 2021, pp. 1–44, doi:10.1145/3476046.
BibTeX Click to copy
@article{karizat2021a,
title = {Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance},
year = {2021},
month = oct,
journal = {Proceedings of the ACM on Human-Computer Interaction},
pages = {1--44},
publisher = {Association for Computing Machinery (ACM)},
volume = {5},
doi = {10.1145/3476046},
author = {Karizat, Nadia and Delmonaco, Dan and Eslami, Motahhare and Andalibi, Nazanin},
month_numeric = {10}
}