We are data: algorithms and the making of our digital selves
By S. Melanson. 2017
358 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/b4a326896c9bc79633b884f0589cdf1f282f9c45
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In Economics and Econometrics
Citations in the corpus
- Conversational AI: Social and Ethical Considerations (2019, background): “However, they are often considered secondary to technical development challenges, if they are considered at all [7] [36] [51].”
- Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance (2021, background): “As algorithms are impacted by the feedback loop of user-algorithm interaction [22, 23], these perceptions of algorithmic bias and of the algorithm——regardless of whether the perceptions map to what these algorithms technically do——have the potential to yield real in � uence on entire technological…”
- Artificial intelligence in education: Addressing ethical challenges in K-12 settings (2021, background): “1 3 activities to intelligent algorithm systems [17].”
- Ethics as Methods: Doing Ethics in the Era of Big Data Research—Introduction (2018, background): “This Special Issue contributes specific cases and fine-grained conceptual distinctions to ongoing discussions and critiques of data-driven research models and big data analytics (cf. Beer, 2017; boyd & Crawford, 2012; Cheney-Lippold, 2017; Leurs, 2017; Zook et al., 2017).”
- The ethics of AI in health care: A mapping review. (2020, background): “Such issues pose a substantial threat to an individual's integrity of self (the ability of an individual to understand the forces acting on them) (Cheney-Lippold, 2017).”