Infoglut: How Too Much Information Is Changing the Way We Think and Know

By Mark Andrejevic. 2013

403 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bc45751966e392a2869bca5f38e1d59c162f53bd

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In Sociology and Political Science

Citations in the corpus

Algorithmic surveillance: the collection conundrum (2017, background): “Andrejevic states that ‘ [t]he promise of predictive analytics is to incorporate the future as a set of anticipated data points into the decision-making process ’ (2013, 24).”
On fairness (2017, background): “…mining, it is important to create a space in which users can express their views in their own terms, not least in order to be able to engage in conversation with users, in their terms, about the well-documented problems with social media and other forms of data mining (e.g. see Andrejevic, 2013).”
Quantified sex: a critical analysis of sexual and reproductive self-tracking using apps (2015, background): “Once these new population norms are established, those behaviours that lie outside these norms become viewed as aberrant or deviant (Andrejevic 2013).”
Facebook news and (de)polarization: reinforcing spirals in the 2016 US election (2018, background): “First, the internet has a vast amount of information relative to other media platforms (Andrejevic, 2013).”
What is a flag for? Social media reporting tools and the vocabulary of complaint (2016, background): “This logic of “datafication” (Mayer-Schönberger and Cukier, 2013) poses its own dilemmas, codifying complaints as a legible regime of feeling, and using it to tap into otherwise undetectable patterns of user sentiment (Andrejevic, 2013).”
Heuristics of the algorithm: Big Data, user interpretation and institutional translation (2015, background): “From a pragmatic viewpoint, if prediction of behaviour is possible, the need on the part of the media industries is nulliﬁed (Andrejevic, 2013: 40): The key concern is the frequent detection of ‘socio-grams’ or ‘psychograms’ (always ad hoc , never a priori ) that match particular queries (e.g.…”