How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment
cs.AI
Submitted: 2026-06-03
Updated: 2026-09-20
Code: https://github.com/kokiljaidka/UnauthorizedRedditCMVPosts
License: http://creativecommons.org/licenses/by/4.0/
The gist: This study analyzes a publicly released dataset from a discontinued field experiment on Reddit's r/ChangeMyView.
Terminology
Abstract
This study analyzes a publicly released dataset from a discontinued field experiment on Reddit's r/ChangeMyView. The intervention, conducted by unknown, external researchers and halted following ethical backlash, involved undisclosed AI-generated accounts engaging users in live debate. After public disclosure, Reddit authorized moderators to release an archive of the AI-generated comments, creating a rare opportunity to examine how large language models operated in an identity-rich deliberative forum without disclosure. We conduct a structured content analysis of this corpus, evaluating identity performance, authority signaling, alignment strategies, and activation of cognitive heuristics. Identity targeting or adoption appears in over two-thirds of comments, alignment moves and authority claims in nearly all of them, and cognitive-bias triggers -- particularly confirmation bias, representativeness, and availability -- in the large majority. These patterns co-occur systematically, composing a rhetorical architecture calibrated for persuasive efficiency rather than authentic deliberative participation. Compared against human-authored CMV counter-arguments, the agents inverted the typical distribution on every dimension: denser authority use, more adversarial alignment, and heavier reliance on external citation over experiential grounding. In such environments, distinctions between authentic and synthetic epistemic standing grow increasingly opaque -- an asymmetry that disclosure mandates alone cannot address. The results point toward auditing frameworks capable of assessing how AI systems structure credibility, not merely whether they are present.
Sources
- The Anatomy of the Moltbook Social Graph
- Automated versus Human Engagement: Mapping Cognitive Bias Triggers in Online Discourse
- Funhouse Mirror or Echo Chamber? A Methodological Approach to Teaching Critical AI Literacy Through Metaphors
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