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as: How can AI systems reliably identify implicit and evolving forms of misogynistic discourse beyond explicit hate speech? What computational measures can be developed to detect misogyny, benevolent
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to broader men’s rights movements and the political economy underpinning these spaces. For example, how influencers, platforms and content creators monetise grievance, identity insecurity and narratives
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, pioneering new, evidence-based approaches to inform trajectory-altering practice and policy. CEVAW's interdisciplinary research is data-driven, Indigenous and survivor centred and co-designed with partners
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