Perception of Deepfakes among Bangladeshi Women

Fuente: arXiv
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Autori principali: Sultana, Sharifa, Saha, Pratyasha, Nowsher, Nadira, Ritu, Sumaia Arefin, Sultana, Zinnat, Ahmed, Syed Ishtiaque, Haque, S M Taiabul
Natura: Preprint
Pubblicazione: 2026
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author Sultana, Sharifa
Saha, Pratyasha
Nowsher, Nadira
Ritu, Sumaia Arefin
Sultana, Zinnat
Ahmed, Syed Ishtiaque
Haque, S M Taiabul
author_facet Sultana, Sharifa
Saha, Pratyasha
Nowsher, Nadira
Ritu, Sumaia Arefin
Sultana, Zinnat
Ahmed, Syed Ishtiaque
Haque, S M Taiabul
contents As deepfake technology becomes more accessible, concerns about its misuse and societal impact are escalating, particularly in regions like the Global South where digital literacy and regulatory measures are often limited. While previous research has explored deepfakes in contexts such as detection and media manipulation, there is a noticeable gap in understanding how individuals in these regions perceive and interact with deepfake media. This study addresses this gap by investigating how Bangladeshi women perceive deepfakes and the socio-cultural factors influencing their awareness, concerns, and responses to this technology. Drawing on 15 semi-structured interviews, we uncover how cultural values, gendered norms, trust in institutions, and the prevalence of digital harassment shape their perceptions and coping mechanisms. Through this research, we aim to advance existing scholarship in HCI by offering insights into the design of culturally sensitive interventions, educational initiatives, and policy frameworks to address the challenges posed by deepfakes in the Global South.
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id arxiv_https___arxiv_org_abs_2601_12933
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Perception of Deepfakes among Bangladeshi Women
Sultana, Sharifa
Saha, Pratyasha
Nowsher, Nadira
Ritu, Sumaia Arefin
Sultana, Zinnat
Ahmed, Syed Ishtiaque
Haque, S M Taiabul
Human-Computer Interaction
As deepfake technology becomes more accessible, concerns about its misuse and societal impact are escalating, particularly in regions like the Global South where digital literacy and regulatory measures are often limited. While previous research has explored deepfakes in contexts such as detection and media manipulation, there is a noticeable gap in understanding how individuals in these regions perceive and interact with deepfake media. This study addresses this gap by investigating how Bangladeshi women perceive deepfakes and the socio-cultural factors influencing their awareness, concerns, and responses to this technology. Drawing on 15 semi-structured interviews, we uncover how cultural values, gendered norms, trust in institutions, and the prevalence of digital harassment shape their perceptions and coping mechanisms. Through this research, we aim to advance existing scholarship in HCI by offering insights into the design of culturally sensitive interventions, educational initiatives, and policy frameworks to address the challenges posed by deepfakes in the Global South.
title Perception of Deepfakes among Bangladeshi Women
topic Human-Computer Interaction
url https://arxiv.org/abs/2601.12933