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International Conference on Internet Science

INSCI 2018: Internet Science pp 72–79Cite as

Patterns of Emotional Argumentation in Twitter Discussions

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11551))

Abstract

The paper presents the results of an ongoing research of Twitter discussions on inter-ethnic conflicts. The case of Biryulevo bashings is already thoroughly analyzed by the research group; in this paper, we develop a qualitative method for finding patterns of emotional (irrational) argumentation, the patterns that would link emotion and argumentation. Our pilot empirical study is based on 306 tweets of 7 top non-media users; the tweets are analyzed qualitatively for the spectrum of emotions for conflict cases – sadness/sorrow, surprise/fear, anger/indignation, as well as for irony and call to action for complete reconstruction of the chains of emotions. We find that there are two patterns in tweeting strategies – broadcasting the development of the conflict and ‘broadcasting’ emotions of individuals that reflect collective ones. The total number of expressed emotions was counted, followed by reconstructing chains of emotions chronologically. There are three groups of patterns: starting and ending with neutral informing; starting and ending with one certain emotion, no clear pattern with different emotions in the start and in the end. Despite we find only a few sustainable patterns, we argue that further computational research can be done to connect the type of a top user and his/her emotional patterns.

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Acknowledgements

This research has been supported in full by Russian Science Foundation, grant 16-18-10125.

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Authors and Affiliations

  1. St. Petersburg State University, Universitetskaya nab. 7/9, 199034, St. Petersburg, Russia

    Kamilla Nigmatullina & Svetlana S. Bodrunova

Authors
  1. Kamilla Nigmatullina
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  2. Svetlana S. Bodrunova
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Corresponding author

Correspondence to Kamilla Nigmatullina .

Editor information

Editors and Affiliations

  1. St. Petersburg State University, St. Petersburg, Russia

    Svetlana S. Bodrunova

  2. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

  3. SINTEF, Trondheim, Norway

    Asbjørn Følstad

  4. Inria, Le Chesnay, France

    Harry Halpin

  5. National Research University Higher School of Economics, Moscow, Russia

    Polina Kolozaridi

  6. National Research University Higher School of Economics, Moscow, Russia

    Leonid Yuldashev

  7. St. Petersburg State University, St. Petersburg, Russia

    Anna Smoliarova

  8. TU München, Munich, Germany

    Heiko Niedermayer

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Nigmatullina, K., Bodrunova, S.S. (2019). Patterns of Emotional Argumentation in Twitter Discussions. In: Bodrunova, S., et al. Internet Science. INSCI 2018. Lecture Notes in Computer Science(), vol 11551. Springer, Cham. https://doi.org/10.1007/978-3-030-17705-8_7

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  • DOI: https://doi.org/10.1007/978-3-030-17705-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17704-1

  • Online ISBN: 978-3-030-17705-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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