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Abstractive Summarization of Social Media Texts as a Tool for Representation of Discussion Dynamics: A Scoping Review

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Social Computing and Social Media (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14025))

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Abstract

Neural-network-based models of text analysis have been widely implemented for assessment of the dynamics and quality of online discussions, as well as for detection of individual opinions or opinion spectra. Techniques that allow for representing user opinions are being applied in studies of public deliberation, industry-and academe-based marketing studies, and a number of other areas in social research. One of the approaches used more and more in the recent 15 years is summarization, both extractive and abstractive. However, most studies of user opinions tend to treat opinions as finalized extracted/formulated targets, rather than parts of a discussion dynamics where opinions change each other and transform. In accordance with the concept of cumulative deliberation, we see opinion cumulation as a complex process, the dynamic features of which need to be accentuated in literature and more researched upon. In this paper, we review the works that employ abstractive summarization to detect opinions and discussion dynamics in social media data. We show that, despite the availability of already elaborated techniques and models, researchers do not apply them for detecting the dynamics of opinion cumulation and discussion mapping.

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Acknowledgements

This research has been supported in full by Russian Science Foundation, grant 21-18-00454 (2021–2023).

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  1. St. Petersburg State University, St. Petersburg, 199004, Russia

    Svetlana S. Bodrunova

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  1. Svetlana S. Bodrunova
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Correspondence to Svetlana S. Bodrunova .

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  1. University of Bucharest, Bucharest, Romania

    Adela Coman

  2. University of Tsukuba, Tsukuba, Japan

    Simona Vasilache

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Bodrunova, S.S. (2023). Abstractive Summarization of Social Media Texts as a Tool for Representation of Discussion Dynamics: A Scoping Review. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14025. Springer, Cham. https://doi.org/10.1007/978-3-031-35915-6_4

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