Avoiding Social Judgment, Seeking Privacy: Investigating why Mothers Shift from Facebook Groups to Large Language Models
Shayla Sharmin, Sadia Afrin

TL;DR
This study explores why mothers prefer large language models over Facebook groups for support, citing privacy concerns and social judgment as key factors, and highlights the shift in maternal digital support systems.
Contribution
It provides empirical evidence on mothers' reasons for shifting from social media to LLMs and identifies design considerations for safe, supportive AI systems.
Findings
41.3% of mothers avoid Facebook groups due to judgment fears
LLMs are perceived as safe, private, and quick support sources
Mothers use LLMs to fill emotional and practical support gaps
Abstract
Social media platforms, especially Facebook parenting groups, have long been used as informal support networks for mothers seeking advice and reassurance. However, growing concerns about social judgment, privacy exposure, and unreliable information are changing how mothers seek help. This exploratory mixed-method study examines why mothers are moving from Facebook parenting groups to large language models such as ChatGPT and Gemini. We conducted a cross-sectional online survey of 109 mothers. Results show that 41.3% of participants avoided Facebook parenting groups because they expected judgment from others. This difference was statistically significant across location and family structure. Mothers living in their home country and those in joint families were more likely to avoid Facebook groups. Qualitative findings revealed three themes: social judgment and exposure, LLMs as safe and…
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Taxonomy
TopicsDigital Mental Health Interventions · Health Literacy and Information Accessibility · Maternal Mental Health During Pregnancy and Postpartum
