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EN
Abstract: The COVID-19 health crisis has been heavily reported on an international scale for several years. This has pushed news journalism in a datafied direction: reporters have learnt how to analyse and visualise the statistical effects of COVID-19 on various sectors of society. As a result, in 2021, the international Sigma Awards competition for data journalism highlighted coverage of the pandemic. Using content analysis with qualitative elements, this paper analyses the shortlisted works covering COVID-19 from the competition (n=73). It focuses on the data references made by the teams – sources, type of both reference and data used – showing statistics from official institutions to be the most used type of data. It also lists the main problems journalists had to face while working on their projects. Most often these problems fell into two categories: specific characteristics of the project, mostly ‘time consuming’, and issues with data.
EN
Datafication brings with it the challenges for journalists to fulfill their historical role as mediators of social processes to their audiences. Journalism has been a rather humanistic field, where journalists tell stories, but do not deal with the analysis and interpretation of numbers. For the current study a methodological tool was developed to measure data literacy among journalists in Estonia. The study confirms that data literacy is acknowledged by journalists as a requirement of future journalism, but their actual skills are still low. Journalists feel more comfortable with data presented in familiar forms. There is a strong tendency that data literacy develops when the skills needed for data processing are in actual use.
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