AI Media & Online Authenticity 2025 (Dataset n = 202)

This dataset is part of the Human Clarity Institute’s AI–Human Experience 2025 data series. It examines how people judge the authenticity of online content in an AI-saturated environment, including confidence in verification skills, susceptibility to doubt and uncertainty, and the behavioural effects of AI-generated media.The dataset includes:• validated 1–7 Likert-scale items  • measures of authenticity judgement, trust in personal verification ability, and uncertainty effects  • indicators of behavioural caution, second-guessing, and confidence shifts  • 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 frequency  Data were collected on 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 files  This dataset contributes to understanding how AI-generated media shapes human certainty, trust, and judgement, supporting longitudinal tracking of digital authenticity concerns and the evolving cognitive relationship between humans and AI in everyday life.