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The Two-Sided Reality of Cyber Threat Actors: A Sociological MLA of Forensic Intelligence
Abstract
This chapter introduces the Theory of Two-Sided Fact (TSF) and its operationalization through Multiple-Lens Analysis (MLA) as a transformative framework for cyber forensic intelligence. While traditional methods like anomaly detection, machine learning, and rational-choice models capture patterns, they often neglect symbolic, ideological, and affective dynamics. TSF addresses this by emphasizing the inseparability of objective structures and subjective meanings, situating cyber events as sociotechnical phenomena. Through MLA's structural, symbolic, historical, affective, and ideological lenses, analysts gain multidimensional insight into causality, escalation, and intervention. Ethical reflexivity remains central, ensuring balanced interpretation and enabling socially informed, contextually grounded responses to contemporary cyber threats.
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