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COVID-19-Related Communication on Twitter: Analysis of the Croatian and Polish Attitudes

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Proceedings of Sixth International Congress on Information and Communication Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 216))

Abstract

In this paper, we analyze and compare Croatian and Polish Twitter datasets. After collecting tweets related to COVID-19 in the period from 20.01.2020 until 01.07.2020, we automatically annotated positive, negative, and neutral tweets with a simple method, and then used a classifier to annotate the dataset again. To interpret the data, the total number as well as the number of positive and negative tweets are plotted through time for Croatian and Polish tweets. The positive/negative fluctuations in the visualizations are explained in the context of certain events, such as the lockdowns, Easter, and parliamentary elections. In the last step, we analyze tokens by extracting the most frequently occurring tokens in positive or negative tweets and calculating the positive to negative (and reverse) ratios.

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Acknowledgements

This work has been supported in part by the COST Action CA15109 COSTNET and by the Croatian Science Foundation under the project IP-CORONA-04-2061, “Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis” (InfoCoV).

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Authors and Affiliations

  1. University of Rijeka, Department of Informatics, 51000, Rijeka, Croatia

    Karlo Babić, Milan Petrović, Slobodan Beliga, Sanda Martinčić-Ipšić & Ana Meštrović

  2. Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Rijeka, Croatia

    Karlo Babić, Slobodan Beliga, Sanda Martinčić-Ipšić & Ana Meštrović

  3. Interdisciplinary Research Institute, Wroclaw, Poland

    Andrzej Jarynowski

Authors
  1. Karlo Babić
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  2. Milan Petrović
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  3. Slobodan Beliga
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  4. Sanda Martinčić-Ipšić
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  5. Andrzej Jarynowski
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  6. Ana Meštrović
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Corresponding authors

Correspondence to Andrzej Jarynowski or Ana Meštrović .

Editor information

Editors and Affiliations

  1. Middlesex University, London, UK

    Xin-She Yang

  2. The University of Reading, Reading, UK

    Simon Sherratt

  3. JIS University, Kolkata, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Babić, K., Petrović, M., Beliga, S., Martinčić-Ipšić, S., Jarynowski, A., Meštrović, A. (2022). COVID-19-Related Communication on Twitter: Analysis of the Croatian and Polish Attitudes. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_35

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