“DPer News is about how we can make news stories that are not just cheap and convenient, but more meaningful and personal. It worries me that just because we can get robots to mine and condense data, that’s all we’ll do,” mentions Professor Daved Barry. This is in response to previous assertions that robots are only useful for service industries. (RELATED: Robots to take over jobs in human service industry, increasing the percentage of unemployed Americans.)
Project Director, Mart Orts says, “The angle of digitalization is very much in demand today, and companies are eager to get help to transform. The general question is how can algorithms replace humans in repetitive professions? Journalism may not seem like a repetitive job, but when it comes to writing about finance and sports, it very well can be.”
To date, robots are only used as assistants, helping journalists find and analyze data. The human journalist still has to write the news. DPer News wants to robotize methods, allowing for more interesting news. “Robots can target you and quickly give you the content you want, like the latest sports scores. But what about giving you content that would surprise you, that would help you think in out-of-the-box ways?” asks Professor Barry.
The project would include experts in data mining, creativity and innovation, news company Hallpressen, and computer consultants Infomaker and PDB. DPer News has received a grant from Vinnova.
The future of journalism
Journalism is a very human profession. So much can be gleaned by the written word. Artists thrive in this environment, using this means of communication as a way to express themselves and their personal views. Herein lies the problem: Whether intended or not, personal bias seeps out in articles that should otherwise be clean and objective. [Editor's note: Nearly all mainstream media journalists are already "robots" who do nothing more than restate official propaganda. They don't being any real humanity to their jobs in the first place. If you replace them with robots, nobody could even tell the difference.]
Advancing technologies have shifted the way society operates. Current economic and political climates have intensified the need for more objective data. Artificial intelligence in journalism in the form of “news-bots” can provide the solution.
In as early as 2013, AI-powered journalism was taking root in the minds of scientists. Business strategists saw the potential for a highly intelligent, artificial system that could come up with insightful and well-researched material. Moreover, the system could generate a seamless bridge between humans and machines. Scientists and engineers worked to design a technological base that would perform these functions.
Last year, such a technology was debuted and tested at the Rio Olympics. It worked like this: Editors would create templates for their proposed stories, which included key phrases for various outcomes. The technology was plugged into any source of structured data. The software identified relevant data, matched these with the corresponding phrase, and then merged them into the template. What was published was an entirely bias-free and completely accurate news piece.
Developers say that news-writing software still needs to be modified and perfected. The “kinks” in the system still don’t allow for more creative interpretations. This is something DPer News hopes to address.
It would be a good idea to mention that the initial response for these “news-bots” has been mostly positive. Still, there are a few doubts. “We’re naturally wary about any technology that could replace human beings, but this technology seems to have taken over only some of the grunt work,” concludes Fredrick Kunkle, a reporter for the Post and co-chair of the Washington-Baltimore News Guild.
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