How AI changes the work of journalists

Dear readers of my blog. I find how artificial intelligence is changing the world of work a very exciting topic. I wanted to find out concretely and created a post on the future of journalists‘ work with the Copy-AI tool. I only added three words in the last paragraph (and even bloggers). I find the result very remarkable, especially the section on objectivity. How do you rate the result? As always, I’m looking forward to feedback. Let’s start with the article!


It’s no secret that the media industry has been undergoing a massive shift for years now. The rise of social media and fake news has led to a crisis of trust in traditional journalism, which has forced publishers to re-evaluate everything they do—from their business models to their editorial practices. Nowhere is this clearer than in the way we consume our news: Consumers are increasingly turning away from traditional outlets and toward sources they trust more implicitly, like Facebook friends or Reddit communities. In response, journalists have had to come up with new ways of engaging with audiences online while staying true to their journalistic mission. And while none of us knows precisely how this will play out over time, one thing is certain: AI will play an important role in shaping what it means (and looks like) when journalists do their jobs today—and tomorrow too.

Automated storytelling

So, what’s it like to write with AI? It’s pretty similar to working with a human journalist. You give the computer some information—who, what and where—and it gives you back a story: “A man was shot dead at an office building in Toronto on Tuesday afternoon. Police say he was an accountant who worked for an insurance company across the street from where he was killed. The victim has been identified as John Smithson, 30…“

It may not be Pulitzer-worthy prose yet (unless you consider it next year), but this type of automated storytelling is getting more sophisticated by the day. What makes these stories so compelling is they can tell us things we didn’t know before…or didn’t want to hear….but needed to know anyway. So while they might lack creativity now, they are still very much in their infancy when it comes to innovation and development so don’t expect them too far down road.“


As a journalist, visualizing your data is one of the most important things you can do. It helps readers get an idea of what’s going on and makes it easier for them to remember what they’ve learned.

A big part of this process is deciding which information is important enough to be shown on a chart or graph. AI can help with this by looking at the data and determining which bits are relevant. It can also spot trends in large amounts of information that would be difficult for a human reporter to see otherwise


AI can’t be objective. There’s no such thing in the world of AI, just as there are no objective algorithms that could replace a human editor or fact checker. This doesn’t mean we should stop trying to figure out how to make computers less biased, though—it just means we need to keep working on it.

As a journalist, I’m interested in using AI tools because they can help us automate some tasks like finding photos or generating leads from data sets without being explicitly programmed for them—but I know that my job is not yet done when I use an algorithm instead of doing it myself. For example: if you’re writing about racism and you find a photo online that shows white people shouting at protesters during an anti-racism march (or vice versa), then maybe throw up your hands and say „this proves my point!“ But it’s better if you look into why this happened—who were those people? What did they want? How did they feel about what was going on around them? Why did they behave this way (and how do their actions relate back to race)? Then maybe write an article explaining your findings instead of just posting the picture with some smug text underneath saying „here’s proof!“.

Data journalism

Data journalism is one of the most important facets of digital journalism, and it’s playing an increasingly vital role in how journalists do their jobs. In the future, it will continue to grow in importance as more newsrooms invest in AI-powered tools that can analyze data and present it in engaging ways. Data science will be an essential skill for all journalists, just like writing and reporting are today.

According to a study by Pew Research Center, 72% of Americans say they would like to get news about politics from personalized feeds that are tailored to their interests and preferences—but only 9% currently get such news at least occasionally by reading or watching a social media platform (Facebook or Twitter).


AI can help journalists verify information. At a time when the spread of misinformation is increasing, AI can be used to help journalists find the truth. It’s true that AI won’t replace journalists or even their jobs, but it will help them do their job better by providing an additional resource that is constantly learning and improving.

Journalists need not fear for their livelihoods as a result of using AI in their work because they still need to understand how and why these tools are working — and how best to use them for each project — if they want them to work well for them.

AI is already impacting the work of reporters, and journalists need to keep up with these changes.

AI is already impacting the work of reporters, and journalists need to keep up with these changes. As AI tools become more widely available and are used by more people across industries, journalists will need to acquire new skills in order to stay relevant in their field.

Journalists have the opportunity now to learn how to use tools that do what they’ve always done: solve a problem or answer a question using available data. They can also look at problems from a different perspective because of technology’s ability not just to provide answers but also generate questions based on patterns it detects in data sets.


AI is changing the way journalists do their jobs. As reporters and editors (and even bloggers), we need to keep up with these changes as they happen so that we can make sure our stories are best told using AI tools.

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