Digital Trust 2025 (Dataset, n = 505)

This dataset is part of the Human Clarity Institute’s AI–Human Experience 2025 data series. It examines digital trust, authenticity judgement, and uncertainty in an AI-saturated information environment, including perceived manipulation risk, confidence in detecting synthetic content, and behaviours triggered by doubt or ambiguity.The dataset includes:• validated 1–7 Likert-scale items• measures of trustworthiness assessment, uncertainty effects, and detection confidence• behavioural indicators of verification habits, caution, and avoidance• multi-select variables stored as canonical semicolon-delimited snake_case tokens• open-text reflections with minimal safe cleaning (trim + newline removal only)• demographic variables across six English-speaking countries• digital life exposure (daily hours online) and AI-tool usage frequencyData were collected on 25 November 2025 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:• canonical snake_case variable naming• validated numeric ranges• standardised multi-select formats• minimal safe text cleaning• full alignment with the accompanying data dictionary• removal of Prolific IDs and timestamps• SHA-256 checksums for all filesThis dataset contributes to understanding how people judge trustworthiness and navigate uncertainty in an AI-shaped digital ecosystem, supporting longitudinal tracking of authenticity perception, online doubt, verification behaviour, and the evolving cognitive relationship between humans and AI.