Article

Using LLMs for Pre-Annotation of Emotional Manipulation Techniques in a Low-Resource Language Corpus: Are We There Yet?

2026-05-26

Abstract excerpt

This paper examines whether incremental prompt engineering can enable reliable LLM based pre-annotation of corpus texts in a low resource language setting. Using Lithuanian as a case study, we systematically evaluate multiple LLM prompt designs and assess their suitability for generating emotional manipulation annotations for corpus development. We find that performance varies with task complexity, and systematic...

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Literature Corpus work: 0f27006d-9fc3-58d2-8169-c687a96f06fd
DOI: 10.20944/preprints202605.1695.v1

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