Conference proceeding
Learning to Navigate Health Taboos through Online Safe Spaces
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp 1-15
01 Jan 2023
Abstract
Social and cultural taboos frequently prevent meaningful conversation around gendered health and wellbeing, across the globe and to varying degrees. Safe spaces can offer potential avenues to nurture non-judgmental environments for dialogue and opportunities for learning to talk through taboos. To this end, we curated an online safe space on WhatsApp-with 35 participants of Indian origin-to facilitate conversations around diverse topics related to gendered health and wellbeing. We observed participant activity for two weeks, before conducting in-depth interviews with 10 participants to better understand their experiences of engaging within the WhatsApp group. We use the lens of Legitimate Peripheral Participation to examine how peripheral and core members of the community drew on new audiences and support systems as they questioned existing structures upholding taboos. We discuss scafolding mechanisms that could enhance learning about taboo topics in online safe spaces, and the tensions of anonymity in such learning spaces.
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Details
- Title
- Learning to Navigate Health Taboos through Online Safe Spaces
- Creators
- Hannah J. Tam - Georgia Institute of TechnologyKarthik S. Bhat - Georgia Institute of TechnologyPriyanka Mohindra - Georgia Institute of TechnologyNeha Kumar - Georgia Institute of TechnologyACM
- Publication Details
- Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp 1-15
- Publisher
- Assoc Computing Machinery
- Number of pages
- 15
- Grant note
- 2047726 / NSF; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001037809501025
- Scopus ID
- 2-s2.0-85160013393
- Other Identifier
- 991021985095704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Robotics