Real Time Analysis
We analyze real time data from over 35,000 news organization in 65 languages as well as social media outlets and other open source information types. We tag this content using A.I. into entities such as people, places and concepts for visualization and relational mapping.
Proprietary A.I. using Deep Learning and NLP helps to classify the claims that make up a piece of content and helps establish presence of credibility indicators that identify misinformation, satire, hate speech and more in preparation for crowd based verification.
Our decentralized exchange network sends claims (a component of an entire piece of content) to users across the world based on topical expertise match. We then tally user verified claims to form a consensus “crowd score” for an entire piece of content using a Proof of Review token incentivizatiion method to increase quality work and decrease impact of malicious intent.
Our blockchain verification method is a transparent and traceable system that irrefutably stores verified claims and content created by A.I. and crowd sourced systems. Blockchain is used to reduce the perception of bias from stakeholders, create transparency for users and be immune being taken down or limited by an ISP.