Lisa Kaati Senior Lecturer, Associate Professor
Contact
Name and title: Lisa KaatiSenior Lecturer, Associate Professor
Mail: lisa.kaati@dsv.su.se
Phone: +468161604
Workplace: Department of Computer and Systems Sciences Länk till annan webbplats.
Visiting address Nodhuset, Borgarfjordsgatan 12
Postal address Institutionen för data- och systemvetenskap164 25 Kista
About me
Dr. Lisa Kaati achieved a PhD in computer science from Uppsala University in 2008. Her principal research interests are in the area of terrorism and the Internet, and in particular how computer science, psychology, and statistics can be used to study different behaviors. She is the author of over 50 academic articles, book chapters, and several reports.
Dr. Kaati has presented her findings before the Swedish Government, The Finish Government, The Commission of the European Union, and elsewhere. She is a member of the Academic Advisory Board of Europol’s Counter-terrorism Center and the Radicalisation Awareness Network (RAN) Advisory Board of Researchers.
Between 2008-2022 Dr. Kaati was working at the Swedish Defence Research Agency (FOI) where she was the head of the interdisciplinary Data science group. For 6 years, Dr. Kaati was working on a commission from the Swedish government to study violent extremist propaganda online.
Reports (selected)
L. Kaati, E. Bergkvist, A. Shrestha, L. Lundmark. Hon vill bara att tiden ska gå. En kartläggning av profiler och webbplatser som marknadsför sexuella handlingar mot betalning. Jämställdhetsmyndigheten, December 2025.
Kaati, L., Cohen, K., Pelzer, B. (2021)
Antisemitism in Social Media – Conspiracies, Stereotypes, and Holocaust Denial.Stockholm: FOI, FOI-R--5198--SE, 2021.
Kaati, L., Cohen, K., Pelzer, B. (2021)Heroes and Scapegoats. Right-wing extremism in digital environments. European Commission, Directorate-General for Justice and Consumers, Publications Office, 2021.
Kaati, L., Cohen, K., Akrami, N. (2019) Ensamagerande våldsverkare. Profiler, riskbedömningar och digitala spår. Stockholm: FOI, FOI-R--4736--SE, 2019.
Kaati, L., Cohen, K., Akrami, N., Shrestha, A., Fernquist, J., Pelzer, B., Welander, F., Isbister, T. Digitalt slagfält. En studie av radikalnationalistiska digitala miljöer. Stockholm: FOI, FOI-R--4813—SE, 2019.
Akrami, N., Shrestha, A., Berggren, M., Kaati, L., Obaidi, M., Cohen, K. (2018). Assessment of risk in written communication. Introducing the Profile Risk Assessment Tool (PRAT). The Hague: European Police Office.
Cohen, K., Kaati, L. (2018) Digital Jihad. Propaganda from the Islamic State. Stockholm: FOI, FOI-R--4645--SE, 2018.
Kaati, L. (red) (2018) Den digitala kampen. Autonoma rörelser på nätet. Stockholm: FOI, FOI-R–4592–SE, 2018.
Kaati, L., Sahlgren, M., Toghiani-Rizi, B., Cohen, K. (2017). Computer support to analyze IS propaganda. The Hague: European Police Office.
Kaati, L. (red) (2017) Det vita hatet: radikal nationalism i digitala miljöer. Stockholm: FOI, FOI-R–4463–SE, 2017.
Kaati, L. (red) (2017) Det digitala kalifatet: En studie av Islamiska statens propaganda. Stockholm: FOI, FOI-R–4429–SE. 2017.
Kaati, L. (red) (2017) Hatbudskap och våldsbejakande extremism i digitala miljöer. Stockholm: FOI, FOI R–4392–SE, 2017.
Publications (selected)
A. Shrestha, N. Akrami, L. Kaati, J. Kupper and M. R. Schumacher. Words of Suicide: Identifying Suicidal Risk in Written Communications. 2021 IEEE International Conference on Big Data (Big Data), 2021, pp. 2144-2150.
Shrestha, A., Kaati, L., Akrami, N. (2020) Introducing Digital-7. Threat Assessment of Individuals in Digital Environments. 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Shrestha, A., Kaati, L., Cohen, K. (2020) Extreme Adopters in Digital Communities. Journal of Threat Assessment and Management. (1-2), 72.
Akrami,N., Fernquist, J., Isbister, T., Kaati, L., Pelzer, B., (2019) Automatic Extraction of Personality from Text: Challenges and Opportunities. 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, pp. 3156-3164.
Fernquist, J., Lindholm, O., Kaati, L., Akrami, N. (2019) A Study on the Feasibility to Detect Hate Speech in Swedish. 2019 IEEE International Conference on Big Data (Big Data), pp. 4724-4729.
Berglund, T., Pelzer, B., Kaati, L., (2019) Levels of Hate in Online Environments. 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 842-847.
Pelzer, B., Kaati, L., Akrami, N. (2018) Directed Digital Hate. IEEE International Conference on Intelligence and Security Informatics.
Fernquist, J., Kaati, L., Shroeder, R., (2018) Political bots and the Swedish general election. 2018 IEEE International Conference on Intelligence and Security Informatics.
Isbister, T., Sahlgren, M, Kaati, L., Obaidi, M., Akrami, N. (2018) Monitoring Targeted Hate in Online Environments. Text Analytics for Cybersecurity and Online Safety (TA-COS).
Johansson, F., Kaati, L., Shrestha, A. (2015) Timeprints for identifying social media users with multiple aliases. Security Informatics Journal 4:7.
Kaati, L., Omer, E., Prucha, P., Shrestha, A. (2015) Detecting Multipliers of Jihadism on Twitter. IEEE International Conference on Data Mining Workshop (ICDMW), Atlantic City, NJ, USA, 2015, pp. 954-960
Ashcroft, M., Fisher, A., Kaati, L., Omer, E., Prucha, P. Detecting Radical Content on Twitter. In proceedings of European Intelligence and Security Informatics Conference (EISIC) 2015.
Kaati, L., Shrestha, A., Cohen, K., (2016) Linguistic Analysis of Lone Offenders Manifestos. 2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF), pp. 1-8.
Cohen, K., Johansson, F., Kaati, L., Mork, C.M. (2014) Detecting Linguistic Markers for Radical Violence in Social Media Journal of Terrorism and Political Violence, special issue on lone wolves and autonomous cells in terrorism 26:1:246-256 .