Enhancing Open-Source Intelligence: Introducing the Functional Intelligence Tool (FINT)

Laurens H.F. Müter*, Jacco Van Der Plaat, Anna Zoet, Christof Van Nimwegen, Remco C. Veltkamp

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

With an increasing number of protests involving a more diverse group of people, the Dutch Police have to analyse a large number of messages posted on social media platforms, which becomes increasingly difficult to scrutinise for the Open Source Intelligence (OSINT) analysts of the Dutch Police. This is not only because of the increased volumes and velocity at which messages are sent, but also due to the diversity of language usage and the amount of bias that hides the crucial information. To shed light on visualising social media posts, this study combines user-centric design with ecological interface design principles to create the Functional Intelligence Tool (FINT). This tool is tested on twenty participants, of whom four OSINT analysts of the Dutch Police. The tool is reported to be consistent, well-integrated and easy to learn, even for participants without a background in OSINT analysis.

Original languageEnglish
Title of host publication2024 9th International Conference on Big Data Analytics, ICBDA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-343
Number of pages10
ISBN (Electronic)9798350352962
ISBN (Print)9798350352962
DOIs
Publication statusPublished - 16 Mar 2024
Event9th International Conference on Big Data Analytics, ICBDA 2024 - Hybrid, Tokyo, Japan
Duration: 16 Mar 202418 Mar 2024

Publication series

Name2024 9th International Conference on Big Data Analytics, ICBDA 2024

Conference

Conference9th International Conference on Big Data Analytics, ICBDA 2024
Country/TerritoryJapan
CityHybrid, Tokyo
Period16/03/2418/03/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Funding

This project received partial support from the Dutch Police, who generously shared insights into their open-source intelligence work. Special appreciation is extended to the OSINT team for their invaluable contributions and insights into their operational activities.

FundersFunder number
Dutch Police

    Keywords

    • big data
    • data visualisations
    • protests
    • social media

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