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dc.contributor.authorNeha, Sabrina Mokarabbin
dc.contributor.authorFerdous, Sumnoon
dc.contributor.authorYusuf, Afnan
dc.date.accessioned2026-08-09T07:58:57Z
dc.date.available2026-08-09T07:58:57Z
dc.date.issued2025-11
dc.identifier.isbn978-984-35-5270-9
dc.identifier.otherICEBTM-25-1210
dc.identifier.urihttps://icebtm.iub.edu.bd
dc.identifier.urihttps://ar.iub.edu.bd/handle/11348/1492
dc.description.abstractThis study examines the social and emotional impact of AI-generated deepfake content on women in Bangladesh. Using focus group discussions with women from diverse backgrounds, it explores their awareness, experiences, and the responses of families, communities, and institutions. The findings reveal that deepfakes contribute to mental distress, reputational harm, fear of online participation, and distrust in legal systems, while informal support networks often compensate for inadequate institutional responses. The study highlights deepfakes as a growing form of online gender-based violence and recommends stronger legal frameworks, digital safety initiatives, public awareness campaigns, and collaborative efforts to ensure the responsible use of AI and better protection for women.en_US
dc.format.extentpp. 549-554
dc.language.isoenen_US
dc.publisherSchool of Business and Entrepreneurship, Independent University, Bangladesh (IUB)en_US
dc.sourceThe Proceedings of the International Conference on Economics, Business and Technology Management (ICEBTM 2025)
dc.subjectArtificial Intelligence (AI)en_US
dc.subjectDeepfake Technologyen_US
dc.subjectSocial mediaen_US
dc.titleThe impact of AI-generated deepfake social media content on women in Bangladesh: a qualitative studyen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.67508/iub.icebtm.2025.086


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