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    <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. Our dataset is available at https://github.com/kokiljaidka/UnauthorizedRedditCMVPosts</abstract>
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%0 Conference Proceedings
%T How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment
%A Jaidka, Kokil
%A Ahmed, Saifuddin
%Y Afli, Haithem
%Y Bouamor, Houda
%Y Zaghouani, Wajdi
%Y Ghannay, Sahar
%Y Hossain, Shehenaz
%S Proceedings of the 3rd Workshop on Natural Language Processing for Political Sciences (PoliticalNLP 2026)
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F jaidka-ahmed-2026-far
%X 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. Our dataset is available at https://github.com/kokiljaidka/UnauthorizedRedditCMVPosts
%R 10.63317/477ns4y77c92
%U https://aclanthology.org/2026.politicalnlp-1.20/
%U https://doi.org/10.63317/477ns4y77c92
%P 180-194

Markdown (Informal)

[How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment](https://aclanthology.org/2026.politicalnlp-1.20/) (Jaidka & Ahmed, PoliticalNLP 2026)

• How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment (Jaidka & Ahmed, PoliticalNLP 2026)

ACL

• Kokil Jaidka and Saifuddin Ahmed. 2026. How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment. In Proceedings of the 3rd Workshop on Natural Language Processing for Political Sciences (PoliticalNLP 2026), pages 180–194, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).