Paper Detail

Epistemic orientation in parliamentary discourse is associated with deliberative democracy

Segun Aroyehun, Stephan Lewandowsky, David Garcia

arxiv Score 9.3

Published 2026-04-21 · First seen 2026-04-22

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Abstract

The pursuit of truth is central to democratic deliberation and governance, yet political discourse reflects varying epistemic orientations, ranging from evidence-based reasoning grounded in verifiable information to intuition-based reasoning rooted in beliefs and subjective interpretation. We introduce a scalable approach to measure epistemic orientation using the Evidence--Minus--Intuition (EMI) score, derived from large language model (LLM) ratings and embedding-based semantic similarity. Applying this approach to 15 million parliamentary speech segments spanning 1946 to 2025 across seven countries, we examine temporal patterns in discourse and its association with deliberative democracy and governance. We find that EMI is positively associated with deliberative democracy within countries over time, with consistent relationships in both contemporaneous and lagged analyses. EMI is also positively associated with the transparency and predictable implementation of laws as a dimension of governance. These findings suggest that the epistemic nature of political discourse is crucial for both the quality of democracy and governance.

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BibTeX

@article{aroyehun2026epistemic,
  title = {Epistemic orientation in parliamentary discourse is associated with deliberative democracy},
  author = {Segun Aroyehun and Stephan Lewandowsky and David Garcia},
  year = {2026},
  abstract = {The pursuit of truth is central to democratic deliberation and governance, yet political discourse reflects varying epistemic orientations, ranging from evidence-based reasoning grounded in verifiable information to intuition-based reasoning rooted in beliefs and subjective interpretation. We introduce a scalable approach to measure epistemic orientation using the Evidence--Minus--Intuition (EMI) score, derived from large language model (LLM) ratings and embedding-based semantic similarity. Appl},
  url = {https://arxiv.org/abs/2604.19699},
  keywords = {cs.CL, cs.CY},
  eprint = {2604.19699},
  archiveprefix = {arXiv},
}

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