Turning Data into News: Five Different Skill Sets of Journalists Working with Data
Turning Data into News: Five Different Skill Sets of Journalists Working with Data
Author(s): Liis Auväärt, Ragne Kõuts-KlemmSubject(s): Media studies, Education and training, Communication studies, Higher Education , ICT Information and Communications Technologies, Sociology of Education
Published by: Univerzita Karlova v Praze, Fakulta sociálních věd
Keywords: data; journalism; journalistic skills; numeracy; statistics; Big Data
Summary/Abstract: Since the 2010s, but even more so in the post-COVID era, numerous studies discuss new ways to do journalism using data. Yet little emphasis has been put on the crucial question: what skills are needed to work with different types of data? – the answer to which could assist journalism educators and media houses alike. Based on a content analysis of scientific research articles from 2008–2023 (n=51) we propose five profiles of data journalists based on their data skills: the specialised data journalist, the data analyst, the techie of a newsroom, the daily editor and the special beat editor. We argue, that looking at the issue of various data in journalism following a skill-based logic will contribute to updated journalism curriculums and more precise job requirements by the newsrooms.
Journal: Mediální studia
- Issue Year: 19/2025
- Issue No: 01
- Page Range: 6-30
- Page Count: 25
- Language: English
