Abstract: Disclosed is a method and system to assess the veracity of textual input. Upon receiving user-provided content, the system segments the input into fact-oriented textual fragments. Subsequently, search strings are crafted from the fragments and employed to fetch pertinent documents from a designated database. Each extracted document undergoes filtration to distill fact-based content. The initial fragments are then juxtaposed against the distilled content to discern similarities or discrepancies. Culminating the process, the system classifies the content of user into specific veracity categories, ranging from absolute terms like “true” to negations like “false”, with additional nuanced classifications like “misleading” or “outdated” further enhancing the precision of the assessment.
Type:
Grant
Filed:
March 8, 2024
Date of Patent:
August 11, 2026
Assignee:
ORIGINALITY.AI
Inventors:
Jonathan Gillham, Conor Watt, Liam Mcnally, James Ball