Digital Innovation Digital Publishing
2 mins read

Sovrn becomes the first to partner with Factmata in a bid to enhance quality media ecosystem

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Factmata, the anti-fake-news AI platform aiming to tackle the growing problem of misinformation and fake news, has gained its first partner –  publishing technology firm Sovrn.

Factmata aims to be a cross between Wikipedia and Quora, with a community of users fact-checking or marking news articles for quality with the help of AI. Its technology leverages machine learning algorithms, preventing inadvertent placement of low quality, fake, or hateful content on the web.

Sovrn has become the first client of Factmata’s following the anti-fake-news platform’s first round of seed funding in February this year, which included Twitter founder Biz Stone.

As concern surrounding the credibility of news has increased, more than half (55%) of programmatic decision-makers have put pressure on tech partners to proactively screen for fake news.

Through the partnership, Sovrn will use Factmata’s technology to build new whitelists of inventory that are free of hate speech, politically extreme, and fake/spoof content. In doing so, the partnership will enable Sovrn to further enhance the quality media ecosystem it curates for brands, advertisers, publishers and other businesses and offer protection against deceptive digital content.

Matt Harada, GM Data and Demand at Sovrn comments: “We work with a broad portfolio of large, medium and small independent publishers, who must pass our stringent 25 step process, to ensure that our advertisers have sustained confidence in our supply. Partnering with emerging technologies like Factmata is a natural way for us to continue our quality leadership by adding yet another layer to maintain clean and healthy inventory to our clients.”

Further reading:

Cision: Factmata Closes Funding Round, Adding Biz Stone and Craig Newmark to its Roster of Investors

Business Insider: A 25-year-old CEO emailed Mark Cuban to pitch his anti-fake-news startup for investment — and it worked