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

Aleksander Szczęsny, Wiktoria Mieleszczenko-Kowszewicz, Maciej Markiewicz, Beata Bajcar, Tomasz Adamczyk +3 more
6/15/2026
cs.CLcs.AI

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Abstract

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 individual annotation records, and gold labels for social influence techniques, with each text annotated from five distinct perspectives: teenagers, parents, psychologists, communication experts, and teachers. The resource was constructed through constrained LLM generation, followed by a two-step human editing and validation phase aimed at ensuring youth-context realism. A multi-dimensional annotation covered influence presence, techniques, intentions, consequences, resistance, reactions, and annotation confidence. The dataset supports research on social influence detection, annotator disagreement, cross-lingual modeling, and the training and evaluation of language models. The dataset was created in Polish and is accompanied by a corresponding English version.

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@article{szczsny2026impacteen,
  title  = {IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Dataset},
  author = {Aleksander Szczęsny and Wiktoria Mieleszczenko-Kowszewicz and Maciej Markiewicz and Beata Bajcar and Tomasz Adamczyk and Jolanta Babiak and Grzegorz Chodak and Przemysław Kazienko},
  year   = {2026},
  eprint = {2606.16910},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2606.16910v1}
}

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