Posts tagged algorithmic accountability
Using Baselines for Algorithm Audits

Study by Jennifer A. Stark and Nicholas Diakopoulos. They investigate bias in Google’s image selection for the main search results pages of presidential candidates’ main search results page. The paper indicates that bias may have been introduced by the Google image selection algorithm.

Stark, Jennifer A. and Nicholas Diakopoulos. 2017. “Using Baselines for Algorithm Audits”. European Conference on Data and Computional Journalism.

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Enabling Accountability of Algorithmic Media: Transparency as a Constructive and Critical Lens

As the news media adopts algorithmic components into the production of news information, it raises the question of how to maintain an accountable media system. Nicholas Diakopoulos explores algorithmic transparancy.

Diakopoulos Nicholas. 2017. “Enabling Accountability of Algorithmic Media: Transparency as a Constructive and Critical Lens”. In: Cerquitelli,Tania, Daniele Quercia and Frank Pasquale (eds) Transparent Data Mining for Big and Small Data. Studies in Big Data, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-319-54024-5_2

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