How Far Will They Go? Red-Teaming Online Influence with Large Language Models
As large language model (LLM)-based agents increasingly participate in online discourse, red-teaming their capacity to support political influence campaigns is critical for information integrity. In pursuit of this goal, we focus on locally deployed open-source LLMs, as opposed to frontier API-only models, given their superior alignment with the operational constraints of privacy-conscious malicious actors deployed in social media environments. We introduce an empirical red-teaming framework for
Record details
Published: 20 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Privacy · Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (20 May 2026), “How Far Will They Go? Red-Teaming Online Influence with Large Language Models,” evidence record 3954, https://ethics.ai/record/3954 (originally published by arXiv).
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