Journalism is dying." "Long-established and well-known newspapers are closing their doors in various parts of the world." "No one reads the news anymore."
We have heard phrases like these a lot lately and, in a way, they are right, because it is no longer common to see people opening the pages of a newspaper on a park bench to find out what's new in the country.
At the same time, streaming services and audiovisual japan email list 2 million contact leads platforms are winning over a large part of the usual news viewers.
But the authors of the above statements may be misinformed about the latest good news: digital transformation has reached journalism and is here to stay.
The main exponent of this movement is data journalism, which has been promoting important changes, both in the process of producing information and in its subsequent consumption by users of news sites.
Big Data and People Analytics resources and tools are incorporated into newspaper newsrooms, allowing access to more valuable, reliable, complete information adapted to the dynamics of digital reading.
Below, we will show you the main developments in the data journalism scene and their impact on the way we see the world.
If you don't want to remain out of date on the subject, reading the content to the end is your best decision.
What is data journalism?
In essence, data journalism is a method of news production oriented towards the use of information and elements of numerical value with the aim of producing correlations that allow reaching precise and relevant conclusions on topics of interest to the public .
The disruptive nature of this professional modality is shown in the break with the routine of the conventional journalist, consisting of field work on the streets based on manually prepared guidelines, face-to-face or telephone interviews and the generation of news content at the end.
With data journalism, the logic is reversed. Instead of proposing a research topic and then actively seeking out information, editors and reporters dive into the data troves they have collected and identify gaps or points of connection that are worth exploring further. It is therefore data analysis that kick-starts the news production process, taking on a much more significant role.
