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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Even when a metric indicates a good overall performance on a classiﬁcation task, it is hard to know what that implies (Hardt, 2014), as errors may be concentrated in one particular class or group of classes (Konstan and Riedl, 2012; Hardt, 2014).”
Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram (2018, background): “Yet , though those who consciously interact with algorithms know their behavior is subject to “a court of algorithmic appeal” (Hallinan and Striphas, 2016: 129), it is not certain that they rigidly abide by algorithmically forged disciplinary norms in a vacuum.”