Reflexive Irony Exposure in AI-Mediated Commentary: A Micro-Ethnographic Note

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Authors: Trent Slade
Cited by: 0

Abstract

This micro-ethnographic note documents and analyzes a brief comment–reply interaction occurring beneath a public video discussing large language models (LLMs). Unlike prior studies centered on methodological or epistemic failure modes of AI systems, this case represents a reflexive human–human exchange mediated by AI discourse. The interaction is formalized as an instance of Reflexive Irony Exposure (RIE): a minimal, symmetric response strategy that mirrors the rhetorical structure of a dismissive comment without engaging in argumentation, justification, or escalation. The analysis demonstrates how irony, when treated as an intentional communicative instrument rather than a flaw, functions as a diagnostic lens for contemporary attitudes toward AI authorship, value, and legitimacy. The paper contributes a lightweight analytical concept for capturing rhetorical symmetry in platformed discourse without over-formalization.

Fields of Study & Subjects

Computational and Text Analysis Methods Misinformation and Its Impacts Hate Speech and Cyberbullying Detection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 January 2026