We Are Data: Algorithms and the Making of Our Digital Selves

336 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

We are data: algorithms and the making of our digital selves (2017, background): “He argues that, ‘datafied models are quickly becoming primary mechanisms by which we are interpreted by computer networks, governments and friends’ (Cheney-Lippold, 2017, p. 32), and that such interpretations are at risk of promoting dangerous forms of essentialist and reductive social positioning.”
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).”
Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance (2021, neutral): “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 inuence on entire technological syst”