US 12,229,676 B2
System to detect, assess and counter disinformation
Elizabeth Charnock, Half Moon Bay, CA (US); Steve Roberts, Half Moon Bay, CA (US); and Kathrin Haag, Edinburgh (GB)
Assigned to Chenope, Inc., Half Moon Bay, CA (US)
Filed by Chenope, Inc., Half Moon Bay, CA (US)
Filed on Nov. 7, 2023, as Appl. No. 18/387,642.
Application 18/387,642 is a division of application No. 17/003,979, filed on Aug. 26, 2020, granted, now 11,972,346.
Claims priority of provisional application 62/891,442, filed on Aug. 26, 2019.
Prior Publication US 2024/0070458 A1, Feb. 29, 2024
Int. Cl. G06N 3/08 (2023.01); G06F 16/951 (2019.01); G06N 3/04 (2023.01); G06Q 50/00 (2012.01); G06F 16/9032 (2019.01); G06F 40/186 (2020.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01); G06N 5/025 (2023.01); H04L 9/40 (2022.01)
CPC G06N 3/08 (2013.01) [G06F 16/951 (2019.01); G06N 3/04 (2013.01); G06Q 50/01 (2013.01); G06F 16/90332 (2019.01); G06F 40/186 (2020.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01); G06N 5/025 (2013.01); H04L 63/302 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A disinformation identification and information warfare management system comprising:
an authentication server configured to authenticate one or more bots and periodically modify an appearance of the one or more bots;
one or more storage devices configured to manage a knowledgebase configured to store training data for a deep learning component, a hypergraph configured to manage relationships between different pieces of extracted online content, and a data storage configured to store the extracted online content, and
one or more processors, configured to execute functionality for subsystems, components, and mechanisms stored in one or more non-transitory computer readable mediums, the one or more non-transitory computer readable mediums store subsystems, components, and mechanisms comprising:
a targeting subsystem for targeting disinformation configured to utilize at least one data analysis component configured to analyze at least one or more of image, text, video, virtual reality, multimedia, and sound,
a cross-platform bot instantiation mechanism configured to instantiate different types of the one or more bots across one or more different platforms,
a bot management and dispatch system configured to dispatch or remove the one or more bots based on saturation or need for human intervention,
an influence measurement component configured to collect and interpret online content for changes in sentiment,
an assertion and event identification, extraction and analysis component configured to extract assertions and real-world event references from the online content,
a narrative and campaign identification component configured to identify one or more narratives from one or more sequences of disinformation from the online content and one or more campaigns of disinformation regarding the real-world event references within a bounded window of time,
a public-facing application configured to provide feedback made to the one or more bots,
a bot design and test subsystem configured to construct the one or more bots with dialog scripts to test against selected demographics,
a costing and auditability component configured to determine a cost of use of the online content after each usage,
a multimedia rendering component including at least one data analysis component selected from the group of image, text, video, virtual reality, multimedia, and sound analysis components configured to render multimedia based on analysis from the data analysis component,
a dialog system configured to execute Natural Language Understanding/Natural Language Generation (NLU/NLG) components to provide the dialog scripts and process responses to the dialog scripts; and
a deep learning component configured to train a deep learning model from the online content.