DATA-DRIVEN REVELATION? Epistemological tensions in investigative journalism in the age of 'big data'

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. DATA-DRIVEN REVELATION? Epistemological tensions in investigative journalism in the age of ’big data’ Sylvain Parasie

[1]  Bruce Garrison,et al.  Computer-Assisted Reporting , 1995, Encyclopedia of Big Data.

[2]  AC Grayling,et al.  Laboratory life Rebecca Lemov World as Laboratory: Exper , 2006, The Lancet.

[3]  Sylvain Parasie,et al.  Data-driven journalism and the public good: “Computer-assisted-reporters” and “programmer-journalists” in Chicago , 2013, New Media Soc..

[4]  S. Lewis,et al.  Open source and journalism: toward new frameworks for imagining news innovation , 2013 .

[5]  Seth C. Lewis,et al.  Journalism Innovation and Participation: An Analysis of the Knight News Challenge , 2011 .

[6]  James S. Ettema,et al.  On the Epistemology of Investigative Journalism. , 1984 .

[7]  B. Strasser.  Data-driven sciences: From wonder cabinets to electronic databases. , 2012, Studies in history and philosophy of biological and biomedical sciences.

[8]  Katharine Armstrong,et al.  Big data: a revolution that will transform how we live, work, and think , 2014 .

[9]  K. Knorr-Cetina,et al.  Epistemic cultures : how the sciences make knowledge , 1999 .

[10]  Gaye Tuchman.  Objectivity as Strategic Ritual: An Examination of Newsmen's Notions of Objectivity , 1972, American Journal of Sociology.

[11]  Brant Houston,et al.  The Investigative Reporter's Handbook: A Guide to Documents, Databases and Techniques , 2002 .

[12]  Jonathan Gray,et al.  The Data Journalism Handbook , 2012 .

[13]  M. Schudson.  The objectivity norm in American journalism* , 2001 .

[14]  Zvi Reich,et al.  HOW JOURNALISTS THINK ABOUT FACTS , 2013 .

[15]  D. Hallin.  We Keep America on Top of the World: Television Journalism and the Public Sphere , 1993 .

[16]  A. Cambrosio,et al.  Too many numbers: Microarrays in clinical cancer research. , 2012, Studies in history and philosophy of biological and biomedical sciences.

[17]  Charles Anderson,et al.  The end of theory: The data deluge makes the scientific method obsolete , 2008 .

[18]  Ignacio Siles,et al.  Making sense of the newspaper crisis: A critical assessment of existing research and an agenda for future work , 2012, New Media Soc..