RT Article
T1 Power-Law Online Terrorism and Extremism
JF Perspectives on terrorism
VO 19
IS 2
SP 113
OP 126
A1 Baele, Stéphane J.
LA English
YR 2025
UL https://krimdok.uni-tuebingen.de/Record/1933387084
AB This Research Note draws attention to the ubiquity of heavy-tailed, power-law types of data distribution in all major dimensions of digital extremism and terrorism, and discusses the important implications stemming from this pattern as well as the mechanisms underpinning it. Highly unequal distributions with a very long lower tail and a sharply rising upper tail indeed characterize linguistic content, individual behaviours, and overarching structures of extremist/terrorist digital ecosystems ? a striking feature that has largely escaped terrorism and extremism scholars? scrutiny as well as Counter Violent Extremism (CVE) and Counter-Terrorism (CT) practitioners, despite its scientific and practical significance.
K1 Online extremism
K1 power-law
K1 heavy-tailed distributions
K1 Terrorism
DO 10.19165/FGGW5148