# `Socheton': A Culturally Appropriate AI Tool to Support Reproductive Well-being

arXiv: https://arxiv.org/abs/2506.12357 · HTML: https://mlsanity.com/paper/2506.12357/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Jun 2025.

## Built on by (most cited first, 1 of 1)

- [Between Myths and Metaphors: Rethinking LLMs for SRH in Conservative Contexts](https://mlsanity.com/paper/2511.01907/) (2025)

## Abstract (arXiv)

Reproductive well-being education in the Global South is often challenged as many communities perceive many of its contents as misinformation, misconceptions, and language-inappropriate. Our ten-month-long ethnographic study (n=41) investigated the impact of sociocultural landscape, cultural beliefs, and healthcare infrastructure on Bangladeshi people's access to quality reproductive healthcare and set four design goals: combating misinformation, including culturally appropriate language, professionals' accountable moderation, and promoting users' democratic participation. Building on the model of `textitDistributive Justice,' we designed and evaluated textit`Socheton,' a culturally appropriate AI-mediated tool for reproductive well-being that includes healthcare professionals, AI-language teachers, and community members to moderate and run the activity-based platform. Our user study (n=28) revealed that only combating misinformation and language inappropriateness may still leave the community with a conservative mob culture and patronize reproductive care-seeking. This guides well-being HCI design toward being culturally appropriate in the context of reproductive justice with sensitive marginalized communities.