PEEL is proposed as a semiotic scaffolding combining deterministic distant reading and LLM analysis to reveal systematic distortions in quantity, term frequency, and epistemic voice within AI condensations of research texts.
Klein, and Kalle Lyytinen
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Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research
PEEL is proposed as a semiotic scaffolding combining deterministic distant reading and LLM analysis to reveal systematic distortions in quantity, term frequency, and epistemic voice within AI condensations of research texts.