Skip to main content

The future of journalism? A.I. rewrites news depending on your politics

Today, all of us live in filter bubbles online, in which the news we read is increasingly tailormade for our personal tastes. This is a problem for media companies and readers alike — and it’s one that an intriguing new online news aggregator hopes to help solve.

Called Knowhere, the newly launched website is the work of a media-savvy entrepreneur and some Stanford-trained artificial intelligence experts. It uses machine learning tools to cover the day’s biggest stories by offering left, impartial, and right-leaning versions of each. The components of these stories are aggregated from various online news outlets and then rewritten by an A.I. Each story can reportedly be written in as little as 60 seconds to 15 minutes, depending on the complexity of the piece. Once that process is completed, a human editor then reviews the story, which further trains the news-writing algorithms. The result? Not only a whip-fast news aggregation site, but one which could help break the filter-bubble problem.

Recommended Videos

“I was inspired by my father who was an investigative journalist and correspondent for the BBC throughout my childhood,” co-founder, CEO and editor-in-chief Nathaniel Barling told Digital Trends. “Each night he would bring home three papers, The Guardian, The Times, and The Telegraph. He’d ask me to read all three of them so that I could gain a balanced perspective on the day’s news.”

Please enable Javascript to view this content

Knowhere calls up the bias of each article it writes with a large “left,” “right” or “impartial” label. By featuring all three versions, Barling said he hopes the website will reduce the effect of people being trapped in their own online echo chambers — whichever side of the political spectrum those happen to be on.  (Or, if you’re cynical, try to pander to all possible audiences.)

“Knowhere is most useful for reaching one simple, but extremely hard to achieve, goal: finding the truth,” he said. “We present our readers with the facts of each story, and the narratives being built around them, so that they can develop their own informed opinions. This is particularly useful for news where there’s a high degree of controversy and partisan sentiment. In this case, you will often see different publications covering the same news with a very strong ‘house-spin’, without actually saying anything ‘untrue.’ There also tends to be a greater misrepresentation of facts on controversial news items, which our technology is designed to identify and omit. Our journalism will appeal to readers who want to know the full and accurate story, free of bias.”

Will it work? We will have to wait and see. Judging from the fact that Knowhere has already scored $1.8 million in funding, however, at least a few people believe that this is the future of journalism.

Luke Dormehl
Former Digital Trends Contributor
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
Algorithmic architecture: Should we let A.I. design buildings for us?
Generated Venice cities

Designs iterate over time. Architecture designed and built in 1921 won’t look the same as a building from 1971 or from 2021. Trends change, materials evolve, and issues like sustainability gain importance, among other factors. But what if this evolution wasn’t just about the types of buildings architects design, but was, in fact, key to how they design? That’s the promise of evolutionary algorithms as a design tool.

While designers have long since used tools like Computer Aided Design (CAD) to help conceptualize projects, proponents of generative design want to go several steps further. They want to use algorithms that mimic evolutionary processes inside a computer to help design buildings from the ground up. And, at least when it comes to houses, the results are pretty darn interesting.
Generative design
Celestino Soddu has been working with evolutionary algorithms for longer than most people working today have been using computers. A contemporary Italian architect and designer now in his mid-70s, Soddu became interested in the technology’s potential impact on design back in the days of the Apple II. What interested him was the potential for endlessly riffing on a theme. Or as Soddu, who is also professor of generative design at the Polytechnic University of Milan in Italy, told Digital Trends, he liked the idea of “opening the door to endless variation.”

Read more
Emotion-sensing A.I. is here, and it could be in your next job interview
man speaking into phone

I vividly remember witnessing speech recognition technology in action for the first time. It was in the mid-1990s on a Macintosh computer in my grade school classroom. The science fiction writer Arthur C. Clarke once wrote that “any sufficiently advanced technology is indistinguishable from magic” -- and this was magical all right, seeing spoken words appearing on the screen without anyone having to physically hammer them out on a keyboard.

Jump forward another couple of decades, and now a large (and rapidly growing) number of our devices feature A.I. assistants like Apple’s Siri or Amazon’s Alexa. These tools, built using the latest artificial intelligence technology, aren’t simply able to transcribe words -- they are able to make sense of their contents to carry out actions.

Read more
Language supermodel: How GPT-3 is quietly ushering in the A.I. revolution
Profile of head on computer chip artificial intelligence.

OpenAI’s GPT-2 text-generating algorithm was once considered too dangerous to release. Then it got released -- and the world kept on turning.

In retrospect, the comparatively small GPT-2 language model (a puny 1.5 billion parameters) looks paltry next to its sequel, GPT-3, which boasts a massive 175 billion parameters, was trained on 45 TB of text data, and cost a reported $12 million (at least) to build.

Read more