RogueGPT: A Controlled Stimulus Generation Framework for News Authenticity Research
RogueGPT is a controlled stimulus generation framework for AI news authenticity research. It provides systematic, reproducible generation of multilingual news fragments across multiple large language models, journalistic styles, and content formats, together with a MongoDB-backed corpus, a CLI, a Streamlit web interface, and a Model Context Protocol (MCP) server for AI agent integration.
Alexander Loth, Martin Kappes, Marc‐Oliver Pahl
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