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Beata Bajcar

5 papers hereh-index 7284 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CY1

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Dataset

Aleksander Szczęsny, Wiktoria Mieleszczenko-Kowszewicz, Maciej Markiewicz +5

IMPACTeen is a dataset of textual social influence scenarios spanning interpersonal, media-based, and digital settings in an adolescent context. It contains 1,021 texts, 5,100 indi…

cs.CL2026

How Annotation Trains Annotators: Competence Development in Social Influence Recognition

Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz +8

Human data annotation, especially when involving experts, is often treated as an objective reference. However, many annotation tasks are inherently subjective, and annotators' judg…

cs.CL2025

Unraveling SITT: Social Influence Technique Taxonomy and Detection with LLMs

Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, Aleksander Szczęsny +4

In this work we present the Social Influence Technique Taxonomy (SITT), a comprehensive framework of 58 empirically grounded techniques organized into nine categories, designed to…

cs.CL2025

Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models

Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, Jolanta Babiak +3

Be careful what you ask for, you just might get it. This saying fits with the way large language models (LLMs) are trained, which, instead of being rewarded for correctness, are in…

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