SOURCE-LINKED INTELLIGENCE

Fighting Everyday Misogyny in Visual Online Cultures

CORDIS · observation · Publication date unknown

versations on platforms where misogynistic content circulates in subtle, ironic, or aestheticised forms, normalising gender inequality and hostility. The project combines AI-driven methods based on Large Language Models with digital ethnography and qualitative research to capture not only the content but also the contexts, practices, and interpretations shaping its social meaning. Its main outputs are guidelines for policy makers and an innovative educational toolkit, including FEMIA – an AI conversational companion – along with visual-based learning activities and a card game to foster critical visual literacy. Through cross-national surveys, data donation, ethnographic observation, and photo-elicitation interviews, FEMVision reconstructs how young people encounter, negotiate, or resist visual misogyny. The toolkit will be co-designed, tested and distributed through international workshops, webinars and training sessions with educators, youth workers and students. The project addresses the urgency of countering misogyny as a “gateway” to radicalisation, polarisation, and hate sp

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recordType

award

status

SIGNED

region

EU

value

3370943.13

unit

EUR