US 12,293,289 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. 18/387,632.
Application 18/387,632 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 2024/0070457 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)] 2 Claims
OG exemplary drawing
 
1. A technical targeting system for multi-evidence targeting, comprising:
graph processing server configured to accept messages from one or more message queues of online content, the one or more message queues fed by a data collection process encoding online content into data records for the one or more message queues,
one or more storage devices configured to store data and manage a knowledge base; 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 Natural Language Understanding/Natural Language Generation (NLU/NLG) subsystem configured to reference the knowledge base;
an assertion and event identification, extraction and analysis component configured to execute the NLU/NLG subsystem to extract the data from the accepted messages for storage into the one or more storage devices, the extracted data directed to assertions or references to real world events,
an influence measurement component configured to detect sentiment change from the stored data and label disinformation in the stored data based on the detection of coordination patterns,
a narrative and campaign identification component configured to identify one or more narratives from one or more sequences of disinformation from the stored data and one or more campaigns of disinformation regarding the real-world events within a bounded window of time.