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Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLP

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arxiv 2207.04453 v1 pith:HOQUYDR4 submitted 2022-07-10 cs.CL

Teemu Pöyhönen , Mika Hämäläinen , Khalid Alnajjar This is my paper · ORCID
classification cs.CL
keywords datagamesvideodetectiongamemultilingualpersuasionrpgs
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Role-playing games (RPGs) have a considerable amount of text in video game dialogues. Quite often this text is semi-annotated by the game developers. In this paper, we extract a multilingual dataset of persuasive dialogue from several RPGs. We show the viability of this data in building a persuasion detection system using a natural language processing (NLP) model called BERT. We believe that video games have a lot of unused potential as a datasource for a variety of NLP tasks. The code and data described in this paper are available on Zenodo.

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Cited by 1 Pith paper

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  1. Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages

    cs.CL 2025-02 conditional novelty 6.0 of 10

    Users who first used a Spanish AI writing assistant subsequently used the English AI writing assistant less, suggesting a spillover that violates choice independence.

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