Alethea identified a network of at least 400 X accounts exhibiting inauthentic behavior and coordinated narrative promotion. The network used large language models (LLMs) to generate subtly varied copypasta-style content—a technique Alethea terms PromptPasta—to amplify messages aligned with key figures and policy positions associated with the second Trump Administration. The outputs of PromptPasta are nuanced, with variations in phrasing among the posts that correspond to each LLM prompt, making them harder to detect than identical posts shared via copypasta tactics.
This investigation reveals how generative AI is being used to execute sophisticated influence operations that blur the line between authentic and inauthentic public opinion. Communications teams can no longer rely solely on traditional sentiment analysis or media monitoring—narratives are now shaped by coordinated networks using LLMs to seed doubt, amplify polarizing messages, and hijack conversations in real time. Understanding these evolving tactics is critical for identifying emerging risks to brand reputation, public trust, and message integrity before they escalate or mislead key audiences.
