Posts in Algorithms
Automating the News: How Algorithms Are Rewriting the Media

ViSmedia team member Nicholas Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. read more here.

Diakopoulos, Nicholas. 2019. Automating the News: How Algorithms Are Rewriting the Media. Massachusetts, Harvard University Press

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Towards Editorial Transparency in Computational Journalism

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”.

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Computational Journalism and the Emergence of News Platforms

Chapter by Nicholas Diakopoulos. Examines the shift in how news organizations are increasingly designing and creating their own tools, products, and even entire platforms through the lens of computational journalism.

Diakopoulos, Nicholas. 2016. “Computational Journalism and the Emergence of News Platforms”. In Scott Eldridge II and Bob Franklin (eds). The Routledge Companion to Digital Journalism Studies.

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