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Quantitatively Oriented Forms of Journalism and Their Epistemology
Author(s) -
Splendore Sergio
Publication year - 2016
Publication title -
sociology compass
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 31
ISSN - 1751-9020
DOI - 10.1111/soc4.12366
Subject(s) - journalism , field (mathematics) , sociology , epistemology , knowledge production , data science , production (economics) , social science , computer science , media studies , knowledge management , philosophy , economics , mathematics , pure mathematics , macroeconomics
The contemporary availability of data and the growing possibility of their processing have also influenced the journalistic field. Several global news companies have embraced and enhanced forms of data use. This article provides an overview of research and analysis on the journalistic use of data. It discusses three broad definitions of data, computational, and automated journalism. It then debates their epistemological implications at each stage of news production (access, processing, and editing). Finally, it outlines factors that influence their future implication, focusing on education.