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 language | English |
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Title of host publication | 2024 9th International Conference on Big Data Analytics, ICBDA 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 334-343 |
Number of pages | 10 |
ISBN (Electronic) | 9798350352962 |
ISBN (Print) | 9798350352962 |
DOIs | |
Publication status | Published - 16 Mar 2024 |
Event | 9th International Conference on Big Data Analytics, ICBDA 2024 - Hybrid, Tokyo, Japan Duration: 16 Mar 2024 → 18 Mar 2024 |
Publication series
Name | 2024 9th International Conference on Big Data Analytics, ICBDA 2024 |
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Conference
Conference | 9th International Conference on Big Data Analytics, ICBDA 2024 |
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Country/Territory | Japan |
City | Hybrid, Tokyo |
Period | 16/03/24 → 18/03/24 |
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.
Funders | Funder number |
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Dutch Police |
Keywords
- big data
- data visualisations
- protests
- social media