Freshly Minted DOI — Multimodal Micro-Drama Ethnography Dataset
Abstract
This dataset contains a full multimodal record of a two-month asynchronous hostility loop between a YouTube creator and a recurring commenter. The materials include a diss-track video (Freshly-Minted-DOI.mp4), a complete lyrical transcript, a micro-paper, and a sequence of ethnographic screenshots documenting Phase 1 (the initial troll raid) and Phase 2 (the delayed retaliatory comment). The included conceptual image (“Asynchronous Beef Explained”) serves as a framing diagram for understanding the conflict recursion model used in QSOL-IMC research. The dataset demonstrates memetic lexicon recycling, emotional latency between creator–viewer interactions, and escalation through DOI-based academic retaliation. It highlights how AI-assisted workflows enable multimodal reinterpretation of digital conflict events, transforming ephemeral online exchanges into structured archival artifacts. This record forms part of an ongoing digital ethnography program examining micro-drama dynamics, hostility loops, symbolic interaction architectures, and multimodal conflict escalation across social media ecosystems.
Fields of Study & Subjects
Hate Speech and Cyberbullying Detection
Media and Digital Communication
Humor Studies and Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 February 2026
- Language
- EN
- Document type
- Dataset