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Chapter

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Title

Predicting the Outbreak of Conflict in Online Discussions Using Emotion-Based Features

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2020

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • online discussion
  • emotions
  • conflictual interactions
Abstract

EN Anti-social online behaviour, such as harassment or vulgarity, leading to conflicts aimed at destroying any merit of the discussions, is a serious problem for the Internet community. Recognising the characteristics of conflict discussions and modelling their trajectory might help to predict and prevent derailing. My PhD thesis focuses on using emotion labels as such characteristics and building an explainable prediction model based on them. As a part of the thesis we have proposed a new dataset of discussions containing knowledge about their emotion-based features. It is a set of dialogues from Wikipedia Talk Pages annotated during a crowdsourcing experiment with labels from Plutchik’s model of emotions and described with EmoWordNet lexicon scores. With this explainable model we hope to introduce a new way of moderating Internet discussions and provide useful educational tool.

Date of online publication

10.06.2020

Pages (from - to)

505 - 511

DOI

10.1007/978-3-030-50578-3_35

URL

https://link.springer.com/chapter/10.1007/978-3-030-50578-3_35

Book

Web Engineering : 20th International Conference, ICWE 2020, Helsinki, Finland, June 9–12, 2020 : Proceedings

Presented on

International Conference on Web Engineering ICWE 2020, 9-12.06.2020, Helsinki, Finland

Ministry points / chapter

20

Ministry points / conference (CORE)

70

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