Croatia, April, 21st, 2017 (Niemanlab) The news and information we consume is becoming increasingly tailored to our interests and habits. Our Facebook feeds are algorithmically controlled, and publishers such as The New York Times — which is reportedly planning a personalized homepage — are also attempting to mold their content to readers’ preferences.

A new app, however, is trying to depersonalize the news. The app, Twain, attempts to provide users an overview of the stories that are trending across the Internet that they might not otherwise see.

Twain has no human editors. Instead, it relies on “100 custom-designed algorithms and processes” to scan sites around the internet and judge what’s most popular at that moment, said Twain founder Miran Pavic, who is based in Croatia and is also content director for Croatian news site Telegram.

Many of the factors that the app takes into consideration — the numbers of shares, retweets, and likes — are straight from social. But this is an attempt to “distribute it in a way that’s not going to be in a bubble,” Pavic said.

The app is divided into three sections — a main timeline; individual news topics, such as North Korea’s recent failed missile launch or the new Star Wars trailer; and categories, such as politics, style, and sports.

“The idea is to get the editor out of the way,” Pavic said. The app scrapes sources ranging from Reuters and CNN to Medium and Reddit. The algorithm, Pavic said, weighs factors about how articles are being shared across the internet, then surfaces those it deems to be above average. “The idea is really to find stuff that’s extraordinary,” Pavic said, though he didn’t want to go into too much detail about how the process works.

Pavic said the app’s administrators are aware that the algorithmically controlled nature of the app could result in the spread of misinformation, and while he said Twain will remove sites that publish demonstrably false information, he said the app is “not going to ban publishers that put a certain spin on things.”

He argued that fake news is able to thrive on platforms like Facebook because News Feed is designed to promote stories it knows you will agree with.

“Personalized algorithms make it less likely that Salon readers will bump into Breitbart content; Twain, on the other hand, makes that more likely to happen, and more desirable,” Pavic said in an email. “Discovery works best if you get exposed to stuff you never knew existed.”

The challenge for Twain — and most apps, for that matter — is to get users to download it, in a time when, according to a Pew report last year, 44 percent of Americans already get their news from Facebook and most use only a handful of apps. There’s also no dearth of news discovery apps.