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Abstract: Mass violence incidents continue to pose
complex challenges for law enforcement agencies and policymakers in the United
States. Traditional threat detection models have primarily relied on behavioral
observation, investigative intelligence, and reactive response strategies.
However, the increasing influence of digital environments on grievance
formation, identity reinforcement, and behavioral signaling suggests that
cyberpsychological indicators may provide valuable insight into the early
stages of violent intent formation. This article examines the intersection of
cyberpsychology, behavioral threat assessment, and law enforcement intelligence
practices to explore how digital behavioral signals may enhance threat
detection capabilities. Drawing upon scholarship examining mass violence,
behavioral leakage, and online radicalization dynamics, the study proposes a
conceptual framework that integrates cyberpsychological indicators with
operational threat assessment models used by law enforcement agencies. The
analysis highlights how digital communication patterns, grievance
amplification, and identity-driven narratives may function as early indicators
of potential violence when interpreted within structured threat assessment
frameworks. The findings suggest that integrating cyberpsychological insights
with intelligence analysis may enhance prevention strategies, improve
situational awareness, and support more proactive public safety approaches. The
article concludes by outlining policy implications and directions for future
research to strengthen early intervention and violence prevention efforts. DOI: http://dx.doi.org/10.51505/ijaemr.2026.11214 |
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