Social media platforms mediate how billions form opinions and engage with public discourse. As autonomous AI agents increasingly participate in these spaces, understanding their behavioral fidelity becomes critical for platform governance and democratic resilience. Previous work demonstrates that LLM-powered agents can...
Ljubiša Bojić, Alexander Felfernig, Bojana M. Dinić et al.· Scientific Reports· 0 citations
The"decompose-then-verify"paradigm for LLM factuality evaluation faces a fundamental trade-off: atomic facts, i.e., one sentence conveying one unit of information, often omit essential context, while broader statements lack the granularity needed for precise assessment. To address this, we introduce TriQua, a framework...
Jin Liu, Steffen Thoma, Achim Rettinger· 0 citations
When prompting language models for psychometric assessment, researchers assume that the responses reflect the injected persona and the meaning of the survey item. We test this premise using a diagnostic design that crosses five semantically distinct baseline personas with five semantically equivalent variants of each o...
Nils Schwager, Christoph Hau, Simon Münker et al.· 0 citations
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