AI Slop Discourse Field Sample: A Multimodal Dataset of YouTube Comment-Thread Behavior (2025)

This dataset captures a naturally occurring cluster of YouTube comments responding to the creator Trent Slade, forming a compact digital ethnography of AI-era identity confusion, authenticity anxiety, and online tribal signaling.Collected across a ~48-hour window, these screenshots document the interplay of: • accusations of “AI slop,”• users debating whether the creator is human or machine,• memetic warfare staples (“cope,” “mald,” “fail”),• assertions about “soul,” “effort,” and “authenticity,”• repetition artifacts, bot-like phrasing,• and full philosophical spirals about human vs. algorithmic creativity. The dataset therefore serves as a live specimen of algorithmic paranoia, slop taxonomy, identity destabilization, and comment-thread feedback loops.Each screenshot is included unmodified, preserving usernames, timestamps, and micro-interactions for future analysis in digital sociology, memetics, or computational linguistics.