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Democracy Big Bang: What data management can(not) do for journalism

Ioana Manolescu 1
1 CEDAR - Rich Data Analytics at Cloud Scale
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France
Abstract : The tremendous power of Big Data has not been lost on journalists. As more and more human activity leaves electronic traces, or happens exclusively (or first) in an electronic manner, content management technologies such as databases, knowledge representation, information retrieval and natural language processing are increasingly called upon to help journalists automate and expedite their work. In the last years, I have worked to understand the connections between existing (or missing!) algorithms and techniques, and real-world problems faced by actual journalists, doing their work, increasingly precariously due to the shift in advertising revenue, but so precious to the functioning of a modern society. I will discuss results obtained in this area together with colleagues, within the ANR ContentCheck project and the Inria-AIST joint team WebClaimExplain, then present a subjective list of open problems and a perspective on the future of data journalism and fact-checking as content management problems I believe our community should study.
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Contributor : Ioana Manolescu <>
Submitted on : Wednesday, January 2, 2019 - 3:37:06 PM
Last modification on : Friday, April 30, 2021 - 10:04:40 AM
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Ioana Manolescu. Democracy Big Bang: What data management can(not) do for journalism. 34ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Oct 2018, Bucarest, Romania. 2018. ⟨hal-01968347⟩



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