AI for Feminist Media Studies: Exploring Menstruation Stigma on Indian Youtube Using NVivo Analysis

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Authors: Samiksha Jain, Priya Sachdeva, Vinay Vikram Singh, Prachi Malhotra
Cited by: 0
References: 11

Abstract

This paper presents a qualitative analysis of Indian YouTube videos focused on challenging menstrual stereotypes, with an emphasis on the application of artificial intelligence to feminist media studies. Using NVivo 12, the study systematically examines how content creators employ humor, storytelling, and informational tactics to reduce stigma, encourage open discussions, and promote better menstrual hygiene. The analysis highlights recurring themes such as period poverty, restricted access to sanitary products, and the strategic use of visuals and language to confront biased perceptions. The research not only deepens understanding of user-generated digital content but also supports the development of AI models for automated feminist discourse analysis. These findings underscore the role of digital media in facilitating social change and shaping more inclusive narratives about menstruation in India.

Fields of Study & Subjects

Gender Feminism and Media Menstrual Health and Disorders Media and Advertising

Publication details

Journal / source
International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
Pages
1–6
Publication date
8 January 2026
Language
EN