Identifying propaganda in global social media
US10140289B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 29, 2017 |
| Grant date | Nov 27, 2018 |
| Priority date | — |
| Expiry date | Aug 16, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a scalable method for automatically deriving the topics discussed most prevalently in unstructured, multilingual text, and simultaneously revealing which topics are more biased towards one or another ‘information space’. The concept of the ‘information space’ is derived from Russian strategic doctrine on information warfare; an example of an ‘information space’ would be the portion of social media in which the Russian language is used. The disclosed method leverages this concept, in conjunction with unsupervised multilingual machine learning, to determine, automatically and without any built-in bias or preconceived notions of what is important, which topics are more discussed, for example, in one language than another. An analyst's attention can then be focused on the most important differences between national discourses, and insight more quickly gained into the areas (both topics and geographic regions) in which propaganda of the sort envisaged in Russian strategic doctrine may be taking hold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.