Observer-Induced Authenticity Policing in AI Discourse (Image Dataset)

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Trent Slade
DOI: 10.5281/zenodo.18405022
Cited by: 0

Abstract

This dataset contains five unaltered screenshots documenting a short interaction sequence on YouTube involving accusations of inauthenticity related to AI-assisted content creation and subsequent reciprocal legitimacy judgments.All files are provided as raw UI captures without annotation, transcription, or modification.

Fields of Study & Subjects

Misinformation and Its Impacts Ethics and Social Impacts of AI Spam and Phishing Detection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 January 2026
Document type
Dataset