How Important is Data Journalism?

Data journalism is more important than ever, but what exactly is it and why has it risen to the top of newsrooms throughout the world?

What is Data Journalism?

Data journalism is a type of journalism in which reporters use enormous datasets to create stories. This reflects the increased relevance of numerical data in information generation and distribution, as well as the expanding link between journalists and professions such as design, computer science, and statistics. Data journalism helps to explain a complicated story by using infographics and data visualizations.

Data is everywhere around us and can be expressed numerically. The terms "data" and "journalism" are both problematic. Some people define "data" as any collection of numbers, most commonly produced on a spreadsheet. Twenty years ago, that was pretty much the only type of data journalists worked with. However, we now live in a digital age when numbers can be employed to communicate almost anything (and almost anything). Data journalism can help a journalist communicate a complicated story by using engaging infographics. Data can be the source of data journalism or the tool used to convey the story or both. It should be treated with mistrust, just like any other source, and we should be conscious of how it may impact and limit the stories made using it, just like any other tool.

Why is Data Journalism Important?

Data journalism can bring scientific discoveries to the forefront of a narrative and make them accessible to readers, whether as a static graphic, an interactive feature, or even a little more analysis to provide context to a breaking news piece. The press is being attacked. Media companies and news agencies used to think that they were the only ones that used technology to grow and share what happened overnight. The printing press served as a point of entrance. If someone wanted to reach the population of a city or region the next morning, they would use newspapers. This epoch has come to an end.

Today, news stories are received as they occur from a variety of sources, eyewitnesses, and blogs, and what has occurred is filtered through a large network of social connections, ranked, commented on, and, more often than not, disregarded.

Interesting Isn't It?

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