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CYBER SAFETY


The implications of this study extend beyond academic circles. Dr Brown stressed while ideological content remains a concern for security services, their method offers a technological tool to differentiate between extremists likely to commit violence and those who confine their activities to online rhetoric. This, she argues, could aid in better prioritising monitoring resources towards


individuals posing genuine physical harm. “Unfortunately, the


bigger, which can be used to prioritise monitoring resources on a smaller pool of people who we think are more likely to act.” Looking ahead, Dr Brown aims to apply their research methods to understand


“This method can help identify people that are genuinely dangerous and likely to cause physical harm as opposed to those that are likely to contain their extremism to radical views and hate speech online.”


sheer volume of extremist content online means that identifying people most likely to cause harm is like finding a needle in a haystack,” said Dr Brown. “We have pinpointed signals of risk to make the haystack smaller and the needle


the mobilisation mechanisms behind the January 6 Capitol Building riots in the United States. Collaborating closely with law enforcement agencies, she plans to develop tools that analyse social media interactions within extremist groups,


further refining their ability to assess and mitigate terrorist risks online. As online extremism continues to pose challenges globally, studies like these provide crucial insights into early detection and intervention strategies. By harnessing the power of digital data analytics, researchers hope to contribute to a safer and more secure online environment, mitigating the real-world impacts of extremist ideologies before they manifest into acts of violence.


The research was funded by the Centre for Research and Evidence on Security Threats (CREST).


Online Signals of Extremist Mobilization is published in Personality and Social Psychology Bulletin.


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37 | POLICE | OCTOBER | 2024


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