A disinformation detection system (100) for automated verification of information items comprises an event bus (110) and event-driven microservices (101-106). The event-driven microservices (101-106) comprise: - a scoring microservice (103; 300) configured to execute at least one trained machine learning model (301, 302, 303, 305) adapted to generate a disinformation prediction for each information item; - a training microservice (104) configured to train the at least one machine learning model (301, 302, 303, 305) based on input obtained from researchers; and - a monitoring microservice (105; 200) configured to obtain the information items and related data, and forward them to the scoring microservice (103; 300). The monitoring microservice (105; 200) comprises: - a data storage (240); - at least one background harvester (235, 236, 237) configured to periodically fetch and store information items and/or related data from a particular information source; and - at least one on-demand harvester (221, 222) configured to fetch and store an information item and/or related data in return to a URL or other type of query of the information item.
Deligiannis, N, Do Huu, T, Berneman, M, Vanden Broucke, S & Cernej, V, A disinformation detection system, Patent No. WO2022167302.
Deligiannis, N., Do Huu, T., Berneman, M., Vanden Broucke, S., & Cernej, V. (2022). A disinformation detection system. (Patent No. WO2022167302).
@misc{4869c9f78d644da89ab04e7007f18a90,
title = "A disinformation detection system",
abstract = "A disinformation detection system (100) for automated verification of information items comprises an event bus (110) and event-driven microservices (101-106). The event-driven microservices (101-106) comprise: - a scoring microservice (103; 300) configured to execute at least one trained machine learning model (301, 302, 303, 305) adapted to generate a disinformation prediction for each information item; - a training microservice (104) configured to train the at least one machine learning model (301, 302, 303, 305) based on input obtained from researchers; and - a monitoring microservice (105; 200) configured to obtain the information items and related data, and forward them to the scoring microservice (103; 300). The monitoring microservice (105; 200) comprises: - a data storage (240); - at least one background harvester (235, 236, 237) configured to periodically fetch and store information items and/or related data from a particular information source; and - at least one on-demand harvester (221, 222) configured to fetch and store an information item and/or related data in return to a URL or other type of query of the information item.",
author = "Nikos Deligiannis and {Do Huu}, Tien and Marc Berneman and {Vanden Broucke}, Steven and Vitalijus Cernej",
year = "2022",
language = "English",
type = "Patent",
note = "WO2022167302",
}