Identifying fringe beliefs from text
US12099538B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 29, 2021 |
| Grant date | Sep 24, 2024 |
| Priority date | — |
| Expiry date | Jun 13, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a flexible, scalable method for automatically distinguishing between the ‘mainstream’ and ‘fringe’ in any text dataset, such as unstructured social media data. The disclosed method allows analysts quickly to pinpoint text articulating fringe beliefs or theories, without prior knowledge of the nature of the fringe beliefs, and can be applied to text data in any language, provided the data can be represented electronically. The method works automatically and without any preconceived notions of what is important or what vocabulary is used in the context of certain beliefs. An analyst's attention is then quickly focused either on new conspiracy theories taking hold (potentially allowing decision-makers to act to interdict the ‘next QAnon insurrection’), or on well-founded beliefs that simply are not yet mainstream. Either way, analysts are empowered better to ‘connect the dots’ for a more complete understanding of the information environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.