ArXiv

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

Authors
Aleksander Szczęsny, Wiktoria Mieleszczenko-Kowszewicz, Maciej Markiewicz...
Categories
cs.CL, cs.AI
arXiv
https://arxiv.org/abs/2606.16910v1
PDF
https://arxiv.org/pdf/2606.16910v1

Brief

IMPACTeen is a multilingual (Polish and English) dataset of 1,021 adolescent social-influence texts with 5,100 annotations from five stakeholder perspectives (teenagers, parents, psychologists, communication experts, teachers). Built via constrained LLM generation plus two-stage human editing/validation, annotations span presence, techniques, intentions, consequences, resistance, reactions, and confidence—enabling work on detection, disagreement, cross-lingual modeling, and LM evaluation.

Source evidence

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.