Determination of movement profiles based on open-source data from social media

Author(s): Rosenkranz, Philipp; Honekamp, Wilfried
Title of the compilation: Mobility in a Globalised World 2021
Editors: Sucky, Eric  ; Biethahn, Niels; Werner, Jan; Dobhan, Alexander
Conference: Mobility in a Globalised World 2021, Schweinfurt
Publisher Information: Bamberg : University of Bamberg Press
Year of publication: 2022
Pages: 247-256
ISBN: 978-3-86309-860-5
Language(s): English
DOI: 10.20378/irb-58356
Licence: Creative Commons - CC BY - Attribution 4.0 International 
Some crime cases cannot be investigated due to the discrepancy between their socially harmful nature and the level of intervention required to investigate them. Investigative approaches in connection with special collection methods of open-source data from social media could provide information that can usually only be obtained through measures with strong encroachments on fundamental rights. Social media offer an approach for law enforcement to quickly and directly access a large amount of openly accessible personal data of the suspect users.
This contribution focuses on the acquisition of open-source data from online users to determine movement profile. To this end, 90 digital identities were observed in their social media lives over 20 days. During the observation period, 4,186 contributions were recorded in five online services and then evaluated. A geotag was used for 834 entries and the location could be designated as known for 696 entries. The open-source data from social media is suitable to determine movement profiles of the suspects. Much of the open-source data recorded in this investigation could be used to create a movement profile for the corresponding digital identities. The results indicate that Instagram is currently best suited for creating movement profiles. Snapchat also offers great potential for creating movement profiles. User accounts can be easily assigned to users via Instagram in particular. While Facebook is only suitable to a limited extent, Twitter and YouTube are ruled out for the desired goal.
GND Keywords: Aufklärung <Kriminologie>; Bewegungsmuster; Open Source; Social Media; Informationssystem
Keywords: Crime Investigation, Social Media, Movement Profiles, Open-Source Intelligence
DDC Classification: 650 Management & public relations  
RVK Classification: QP 530   
Type: Conferenceobject
Release Date: 22. February 2023

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