Abstract
Unjustified anti-social behaviour in Internet discussions, such as vulgarisms and insults, is tantamount to the outbreak of an online conflict that destroys the merits of the discussion. Recognising the characteristics of conflict discussions and modelling their dynamics can help to predict and prevent derailing. We propose to use emotion labels as characteristics and propose a new dataset, extending the non-conflict and such conflict conversations from Wikipedia talk pages that derailed due to a personal attack with an emotional context based on the Plutchik’s model. We also present the results of the analysis of this dataset aimed at identifying specific, emotion-based features of conflict (derailed) discussions, which are potentially useful in predicting the outbreak of conflict in online conversations. Furthermore, we introduce the phenomenon of escalation of emotions using both the Plutchik’s model and EmoWordNet lexicon and show its dynamics in these approaches. With this new dataset and analysis, we hope to open up new possibilities for research in detecting the outbreak of an online conflict.
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This research has been partially supported by the statutory funds of Poznan University of Technology.
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Marcinowski, M., Ławrynowicz, A. (2020). On Emotions in Conflict Wikipedia Talk Pages Discussions. In: Bielikova, M., Mikkonen, T., Pautasso, C. (eds) Web Engineering. ICWE 2020. Lecture Notes in Computer Science(), vol 12128. Springer, Cham. https://doi.org/10.1007/978-3-030-50578-3_20
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DOI: https://doi.org/10.1007/978-3-030-50578-3_20
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