Data journalism is a journalistic work process during which large amounts of information are acquired, modified and analysed. It produces a “data journalistic article”, which often benefits from the publication of the data used for the article. Data journalism seeks to find interesting new perspectives and news by combining large amounts of content and analysing and combining them.

In addition to being the starting point for the writing of the article, data can be part of journalistic narration. Through visualisations, it is easy to present large amounts of information to the reader in an understandable and interesting format. Data journalism can be presented through different infographics such as tables, percentage diagrams, maps, timelines or counters. Data can also be demonstrated in different creative ways like illustrations that represent dimensions.

Through visualisations, it is easy to present large amounts of information to the reader in an understandable and interesting format.

Interaction with readers can also be utilised while producing data: readers can be asked to fill out a questionnaire, or the information they have entered can be collected and accumulated to form new data, which will be made available to readers once it is published.

Data journalism is often a very work-intensive method for journalists. Well-conducted data journalism is, however, a first-class service for the reader. At its best, data journalism also serves different special groups, such as people with dyslexia or foreign-language readers.

Data journalism’s different visual methods of expression are also very popular in social media, which favours the visual aspect and quick glances.