mlsanityData to 14 Oct 2026

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

arXiv 2207.04453 ↗First posted 10 Jul 2022cs.CLcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 9 of its 28 references that are in the map. First posted on arXiv 10 Jul 2022.

Builds on

9 of 28 references.

References · 9

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2019CamemBERT: a Tasty French Language Modelcited by 368
  4. 2018A Survey on Natural Language Processing for Fake News Detectioncited by 67
  5. 2021SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Imagescited by 50
  6. 2019Exploring the Role of Prior Beliefs for Argument Persuasioncited by 31
  7. 2019Changing Views: Persuasion Modeling and Argument Extraction from Online Discussionscited by 11
  8. 2020Examining the Ordering of Rhetorical Strategies in Persuasive Requestscited by 6
  9. 2021Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baselinecited by 4

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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 3.

4 papers.