We employ machine-learning to determine the information integrity of any website, starting with data from Wikipedia. We call this the Reasonal Track Record. Our tools allow users to easily call on a website’s Track Record when they’re on social media or browsing the web. To date, these tools include a browser extension (Chrome and Firefox) and an instant Spot Check chatbot.
The Reasonal Open Platform allows anyone, anywhere, to scrutinize and annotate content from any website. Through this open and transparent platform we empower fact-checkers, publishers and researchers to promote information integrity. The outcome is collectively building an integrity layer for the entire web. Reasonal has so far indexed more than four million websites, a number which is growing every day.
Reasonal’s core team consists of faculty members and alumni of Germany’s world-renowned Max Planck Society research institutes. Together, they combine experience in machine learning, scalable algorithms, human-centered AI, information propagation, large-scale data mining, and programming. Their work is continually published by academic journals and cited by esteemed researchers.
CEO & Co-Founder
Former PhD Candidate, Max Planck Institute for Intelligent SystemsLinkedin → Twitter →
CTO & Co-Founder
Former PhD Candidate, Max Planck Institute for Software SystemsLinkedin → Twitter →
Faculty Member, Max Planck Institute for Software SystemsLinkedin → Twitter →
Director, Max Planck Institute for Intelligent SystemsTwitter →
Published in top-tier Conferences and Journals