Pesearch paper by Nicholas Diakopoulos and Jennifer A Stark. It argues that there is a need to develop guidelines or frameworks for how to responsibly and accountably employ algorithms and data in journalism. It describes steps toward transparency with respect to computational journalism drawing from two case studies.
Stark, Jennifer A. and Nicholas Diakopoulos. 2016. “Towards Editorial Transparency in Computational Journalism”.
Read MoreAs 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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