Algorithms, Users
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-32530-4_10
Reference84 articles.
1. Abualsaud, M., & Smucker, M. (2022). The dark side of relevance: The effect of non-relevant results on search behavior. In CHIIR ’22: Proceedings of the 2022 ACM SIGIR Conference on Human Information Interaction and Retrieval (pp. 1–11). Association for Computing Machinery. https://doi.org/10.1145/3498366.3505770.
2. Airoldi, M., & Rokka, J. (2022). Algorithmic consumer culture. Consumption Markets & Culture, 25(5), 411–428. https://doi.org/10.1080/10253866.2022.2084726.
3. Ananny, M. (2016). Toward an ethics of algorithms: Convening, observation, probability, and timeliness. Science, Technology, & Human Values, 41(1), 93–117. https://doi.org/10.1177/0162243915606523.
4. Atkinson, P., & Barker, R. (2021). Hey, Alexa, what did I forget? Networked devices, Internet search and the delegation of human memory. Convergence, 27(1), 52–65. https://doi.org/10.1177/1354856520925740.
5. Bahri, D., Tay, Y., Che, Z., Metzler, D., Brunk, C., & Tomkins, A. (2021). Generative models are unsupervised predictors of page quality: A colossal-scale study. In WSDM ’21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining (pp. 301–309). Association for Computing Machinery. https://doi.org/10.1145/3437963.3441809.
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