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Machine learning to battle misinformation

Machine learning to battle misinformation

Factmata is building a platform for sharing, questioning, curating and responding to online content, targeted at domain experts, journalists and news enthusiasts, focused on the quality and credibility of content rather than how many 'likes' it gets. The product will engages people in the process of correcting news articles, identifying fallible claims, and supporting more accurate information on the web. This will be used as a method of obtaining training signals to inform unique Factmata quality scoring algorithms. In addition, Factmata is building a number of customer facing SaaS products for clients who have an incentive to promote only good quality, credible online content and want help with ad targeting, syndication, moderation and more. This work will help lead to an ultimate quality score on the internet which has applications for investment research scoring, hedge fund trading, programmatic advertising, search engines and more.
Associate Professor at UCL, Co-founder and Head of Research at Bloomsbury AI, Advisor at Factmata, Allen Distinguished Investigator
Lecturer at the University of Sheffield, Advisor at Factmata
Total raised

$1.1M

Funded over

2 rounds

Latest round

Seed (Jan 2018)

Data Engineer

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Business Development/Sales Executive

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Platform Engineer

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Senior Frontend Developer (JavaScript/React)

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Head of Product

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Backend Engineer

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