"Investigating Algorithmic Content Curation in an Age of Polarization", Mario Haim

Computational journalism, that is, the „finding, telling and dissemination of news stories with, by, or about algorithms” (Diakopoulos & Koliska, 2017, p. 810), has gained lots of traction over the last couple of years. Phenomena, such as automated journalism, the influence of audience analytics, filter bubbles and echo chambers, the diffusion of so-called “fake news,” or the use of news within algorithmically curated information environments have driven both public debate and academic research. Circling around theoretical ideas of personalization and polarization, datafication and algorithmic curation, this presentation will try to summarize current findings and pinpoint academic shortcomings within the broad and fragmented field of computational journalism.