Twitter has just announced it has picked up London-based Fabula AI. The deep learning startup has been developing technology to try to identify online disinformation by looking at patterns in how fake stuff vs genuine news spreads online — making it an obvious fit for the rumor-riled social network.

Social media giants remain under increasing political pressure to get a handle on online disinformation to ensure that manipulative messages don’t, for example, get a free pass to fiddle with democratic processes.

Twitter says the acquisition of Fabula will help it build out its internal machine learning capabilities — writing that the UK startup’s “world-class team of machine learning researchers” will feed an internal research group it’s building out, led by Sandeep Pandey, its head of ML/AI engineering.

This research group will focus on “a few key strategic areas such as natural language processing, reinforcement learning, ML ethics, recommendation systems, and graph deep learning” — now with Fabula co-founder and chief scientist, Michael Bronstein, as a leading light within it.

Bronstein is chair in machine learning & pattern recognition at Imperial College, London — a position he will remain while leading graph deep learning research at Twitter.

Fabula’s chief technologist, Federico Monti — another co-founder, who began the collaboration that underpin’s the patented technology with Bronstein while at the University of Lugano, Switzerland — is also joining Twitter.

“We are really excited to join the ML research team at Twitter, and work together to grow their team and capabilities. Specifically, we are looking forward to applying our graph deep learning techniques to improving the health of the conversation across the service,” said Bronstein in a statement.

“This strategic investment in graph deep learning research, technology and talent will be a key driver as we work to help people feel safe on Twitter and help them see relevant information,” Twitter added. “Specifically, by studying and understanding the Twitter graph, comprised of the millions of Tweets, Retweets and Likes shared on Twitter every day, we will be able to improve the health of the conversation, as well as products including the timeline, recommendations, the explore tab and the onboarding experience.”

Terms of the acquisition have not been disclosed.

We covered Fabula’s technology and business plan back in February when it announced its “new class” of machine learning algorithms for detecting what it colloquially badged ‘fake news’.

Its approach to the problem of online disinformation looks at how it spreads on social networks — and therefore who is spreading it — rather than focusing on the content itself, as some other approaches do.

Fabula has patented algorithms that use the emergent field of “Geometric Deep Learning” to detect online disinformation — where the datasets in question are so large and complex that traditional machine learning techniques struggle to find purchase. Which does really sound like a patent designed with big tech in mind.

Fabula likens how ‘fake news’ spreads on social media vs real news as akin to “a very simplified model of how a disease spreads on the network”.

One advantage of the approach is it looks to be language agnostic (at least barring any cultural differences which might also impact how fake news spread).

Back in February the startup told us it was aiming to build an open, decentralised “truth-risk scoring platform” — akin to a credit referencing agency, just focused on content not cash.

It’s not clear from Twitter’s blog post whether the core technologies it will be acquiring with Fabula will now stay locked up within its internal research department — or be shared more widely, to help other platforms grappling with online disinformation challenges.

The startup had intended to offer an API for platforms and publishers later this year.

But of course building a platform is a major undertaking. And, in the meanwhile, Twitter — with its pressing need to better understand the stuff its network spreads — came calling.

A source close to the matter told us that Fabula’s founders decided that selling to Twitter instead of pushing for momentum behind a vision of a decentralized, open platform because the exit offered them more opportunity to have “real and deep impact, at scale”.

Though it is also still not certain what Twitter will end up doing with the technology it’s acquiring. And it at least remains possible that Twitter could choose to make it made open across platforms.

“That’ll be for the team to figure out with Twitter down the line,” our source added.

A spokesman for Twitter did not respond directly when we asked about its plans for the patented technology but he told us: “There’s more to come on how we will integrate Fabula’s technology where it makes sense to strengthen our systems and operations in the coming months.  It will likely take us some time to be able to integrate their graph deep learning algorithms into our ML platform. We’re bringing Fabula in for the team, tech and mission, which are all aligned with our top priority: Health.”

Jumia may be the first startup you’ve heard of from Africa. But the e-commerce venture that recently listed on the NYSE is definitely not the first or last word in African tech.

The continent has an expansive digital innovation scene, the components of which are intersecting rapidly across Africa’s 54 countries and 1.2 billion people.

When measured by monetary values, Africa’s tech ecosystem is tiny by Shenzen or Silicon Valley standards.

But when you look at volumes and year over year expansion in VC, startup formation, and tech hubs, it’s one of the fastest growing tech markets in the world. In 2017, the continent also saw the largest global increase in internet users—20 percent.

If you’re a VC or founder in London, Bangalore, or San Francisco, you’ll likely interact with some part of Africa’s tech landscape for the first time—or more—in the near future.

That’s why TechCrunch put together this Extra-Crunch deep-dive on Africa’s technology sector.

Tech Hubs

A foundation for African tech is the continent’s 442 active hubs, accelerators, and incubators (as tallied by GSMA). These spaces have become focal points for startup formation, digital skills building, events, and IT activity on the continent.

Prominent tech hubs in Africa include CcHub in Nigeria, Pan-African incubator MEST, and Kenya’s iHub, with over 200 resident members. More of these organizations are receiving funds from DFIs, such as the World Bank, and aid agencies, including France’s $76 million African tech fund.

Blue-chip companies such as Google and Microsoft are also providing money and support. In 2018 Facebook opened its own Hub_NG in Lagos with partner CcHub, to foster startups using AI and machine learning.