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Social Cohesion During the Stay-at-Home Phase of the First Wave of the COVID-19 Pandemic on Polish-Speaking Twitter

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Computational Data and Social Networks (CSoNet 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13116))

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Abstract

Catastrophic and urgent events, such as the COVID-19 pandemic, are known not only to polarize societies and induce selfish, individualistic behavior, but might also motivate altruistic behavior. We have analyzed COVID-19 perception using data collected from the Polish-language Internet from 15.01-30.06.2020, equaling 930,319 tweets. Deploying methods of computational social science and digital epidemiology, we aim to understand mechanisms of social consolidation and depolarization (measured by network modularity and sentiment) during the so-called “stay-at-home phase” of the COVID-19 pandemic. Mauss’ theory of interaction or exchange of gifts, the theory of social capital, as well as Kaniasty’s theory of mobilization and deterioration serve as a background for reflection on the Polish example during the first epidemic wave. Our study highlights the potential of social support and caretaking to reduce affective and behavioral polarization in social media

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References

  1. Åberg, M., Sandberg, M.: Social Capital and Democratisation: Roots of Trust in Post-communist Poland and Ukraine. Routledge, Abingdon (2017)

    Book  Google Scholar 

  2. Alexander, D.: Social media in disaster risk reduction and crisis management. Sci. Eng. Ethics 20(3), 717–733 (2014). https://doi.org/10.1007/s11948-013-9502-z

    Article  Google Scholar 

  3. Baron, H., et al.: Can Americans depolarize? Assessing the effects of reciprocal group reflection on partisan polarization (2021). https://doi.org/10.31219/osf.io/3x7z8

  4. Batorski, D., Grzywińska, I.: Three dimensions of the public sphere on Facebook. Inf. Commun. Soc. 21(3), 356–374 (2018). https://doi.org/10.1080/1369118X.2017.1281329

    Article  Google Scholar 

  5. Baumann, F., Lorenz-Spreen, P., Sokolov, I.M., Starnini, M.: Modeling echo chambers and polarization dynamics in social networks. Phys. Rev. Lett. 124(4), 048301 (2020)

    Article  MathSciNet  Google Scholar 

  6. Bispo Júnior, J.P., Morais, M.B.: Community participation in the fight against COVID-19: between utilitarianism and social justice. Cad. Saude Publica 36, e00151620 (2020)

    Article  Google Scholar 

  7. Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008(10), P10008 (2008)

    Article  Google Scholar 

  8. Bourdieu, P.: The forms of capital. Willey (1986)

    Google Scholar 

  9. Boxell, L., Conway, J., Druckman, J.N., Gentzkow, M.: Affective polarization did not increase during the coronavirus pandemic. Technical report, National Bureau of Economic Research (2020). https://doi.org/10.3386/w28036

  10. Danielewski, M.: W poszukiwaniu nadziei po mrocznym 2020. Zawiodło państwo PiS, obywatele zdali egzamin) (2020). https://oko.press/w-poszukiwaniu-nadziei-po-mrocznym-2020-zawiodlo-panstwo-pis-obywatele-zdali-egzamin/. Accessed 28 Dec 2020

  11. Demszky, D., et al.: Analyzing polarization in social media: method and application to tweets on 21 mass shootings. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2970–3005 (2019)

    Google Scholar 

  12. Dragović, N., Vasiljević, Stankov, U., Vujičić, M.: Go social for your own safety! Review of social networks use on natural disasters-case studies from worldwide. Open Geosci. 11(1), 352–366 (2019)

    Google Scholar 

  13. Guerra, P., Meira Jr., W., Cardie, C., Kleinberg, R.: A measure of polarization on social media networks based on community boundaries. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 7 (2013)

    Google Scholar 

  14. IAB: Przewodnik po Social Media w Polsce (2020). https://iab.org.pl/wp-content/uploads/2020/01/IAB-Przewodnik-po-Social-Media-w-Polsce-2019-2020.pdf. Accessed 04 Sept 2020

  15. Jarynowski, A.: Monitorowanie percepcji ryzyka COVID-19 na Dolnym Ślasku za pomoca analizy śladu cyfrowego w internecie 15.01-05.08.2020. Instytut Badań Interdyscyplinarnych (2020)

    Google Scholar 

  16. Jarynowski, A.: Phenomenon of participatory “guerilla” epidemiology in post-communist European countries (2021). https://sites.utu.fi/bre/phenomenon-of-participatory-guerilla-epidemiology-in-post-communist-european-countries/. Accessed 10 July 2021

  17. Jarynowski, A., Buda, A., Piasecki, M.: Multilayer network analysis of Polish parliament 4 years before and after Smoleńk crash. In: 2016 Third European Network Intelligence Conference (ENIC), pp. 69–76. IEEE (2016)

    Google Scholar 

  18. Jarynowski, A., Semenov, A., Belik, V.: Protest perspective against COVID-19 risk mitigation strategies on the German internet. In: Chellappan, S., Choo, K.-K.R., Phan, N.H. (eds.) CSoNet 2020. LNCS, vol. 12575, pp. 524–535. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-66046-8_43

    Chapter  Google Scholar 

  19. Jarynowski, A., Semenov, A., Kaminski, M., Belik, V.: Mild adverse events of sputnik V vaccine in Russia: social media content analysis of telegram via deep learning. J. Med. Internet Res. (2021). https://doi.org/10.2196/30529

  20. Jarynowski, A., Wójta-Kempa, M., Belik, V.: Perception of “coronavirus’’ on the Polish Internet until arrival of SARS-CoV-2 in Poland. Nurs. Public Health 10(2), 89–106 (2020). https://doi.org/10.17219/pzp/120054

    Article  Google Scholar 

  21. Jarynowski, A., Wójta-Kempa, M., Belik, V.: Trends in interest of COVID-19 on Polish Internet. Przeglad epidemiologiczny 74(2), 258–275 (2020). https://doi.org/10.32394/pe.74.20

    Article  Google Scholar 

  22. Jarynowski, A., Wójta-Kempa, M., Płatek, D., Belik, V.: Social values are significant factors in control of COVID-19 pandemic-preliminary results (2020). https://www.preprints.org/manuscript/202005.0036/v1

  23. Jarynowski, A., Wójta-Kempa, M., Płatek, D., Czopek, K.: Attempt to understand public health relevant social dimensions of COVID-19 outbreak in Poland. Soc. Reg. 4(3), 7–44 (2020)

    Google Scholar 

  24. Kamiński, M., Szymańska, C., Nowak, J.K.: Whose tweets on COVID-19 gain the most attention: celebrities, political, or scientific authorities? Cyberpsychol. Behav. Soc. Netw. 24(2), 123–128 (2021)

    Article  Google Scholar 

  25. Kaniasty, K.: Kleska żywiołowa czy katastrofa społeczna? Gdańskie Wydaw. Psychologiczne (2003)

    Google Scholar 

  26. Kaniasty, K., Norris, F.H.: Mobilization and deterioration of social support following natural disasters. Curr. Dir. Psychol. Sci. 4(3), 94–98 (1995)

    Article  Google Scholar 

  27. Matuszewski, P., Szabó, G.: Are echo chambers based on partisanship? Twitter and political polarity in Poland and Hungary. Soc. Media+ Soc. 5(2), 2056305119837671 (2019)

    Google Scholar 

  28. Mauss, M.: Essai sur le don forme et raison de l’échange dans les sociétés archaïques. L’Année sociologique (1896/1897-1924/1925) 1, 30–186 (1923)

    Google Scholar 

  29. Newman, M.E.: Modularity and community structure in networks. Proc. Natl. Acad. Sci. 103(23), 8577–8582 (2006)

    Article  Google Scholar 

  30. Nowak, M.A.: Five rules for the evolution of cooperation. Science 314(5805), 1560–1563 (2006)

    Article  Google Scholar 

  31. Oh, H.J., Ozkaya, E., LaRose, R.: How does online social networking enhance life satisfaction? The relationships among online supportive interaction, affect, perceived social support, sense of community, and life satisfaction. Comput. Hum. Behav. 30, 69–78 (2014)

    Article  Google Scholar 

  32. Pousti, H., Urquhart, C., Linger, H.: Researching the virtual: a framework for reflexivity in qualitative social media research. Inf. Syst. J. 31(3), 356–383 (2020)

    Google Scholar 

  33. Putnam, R.D., et al.: Bowling Alone: The Collapse and Revival of American Community. Simon and Schuster, New York (2000)

    Google Scholar 

  34. Qureshi, I., Bhatt, B., Gupta, S., Tiwari, A.A.: Causes, Symptoms and consequences of social media induced polarization (SMIP). https://onlinelibrary.wiley.com/pb-assets/assets/13652575/ISJ_SMIP_CFP-1586861685850.pdf

  35. Rao, A., et al.: Political partisanship and antiscience attitudes in online discussions about COVID-19: Twitter content analysis. J. Med. Internet Res. 23(6), e26692 (2021)

    Article  Google Scholar 

  36. Riegel, M., et al.: Nencki affective word list (NAWL): the cultural adaptation of the Berlin affective word list-reloaded (BAWL-R) for Polish. Behav. Res. Methods 47(4), 1222–1236 (2015). https://doi.org/10.3758/s13428-014-0552-1

    Article  Google Scholar 

  37. Sæbø, Ø., Federici, T., Braccini, A.M.: Combining social media affordances for organising collective action. Inf. Syst. J. 30(4), 699–732 (2020)

    Article  Google Scholar 

  38. Sides, J., Tausanovitch, C., Vavreck, L.: The politics of COVID-19: partisan polarization about the pandemic has increased, but support for health care reform hasn’t moved at all (2020). https://doi.org/10.1162/99608f92.611350fd, publisher=PubPub

  39. Sitek, W.: Wspólnota i zagrożenie: Wrocławianie wobec wielkiej powodzi: socjologiczny przyczynek do analizy krótkotrwałej wspólnoty. Wydawawnictwo Uniwersytetu Wrocławskiego (1997)

    Google Scholar 

  40. Statista: Most popular social media services during the coronavirus (COVID-19) epidemic in Poland (2020). https://www.statista.com/statistics/1114857/poland-leading-social-media-during-the-covid-19-pandemic/. Accessed 04 Dec 2020

  41. Tönnies, F.: Gemeinschaft und gesellschaft. In: Studien zu Gemeinschaft und Gesellschaft, pp. 27–58 (1887)

    Google Scholar 

  42. Valdez, S.: Online Polarization on Swedish Twitter during COVID) (2021). https://www.sociology.su.se/english/about-us/events/stockholm-university-computational-sociology/computational-sociology-group-meeting-online-polarization-on-swedish-twitter-during-covid-1.529409. Accessed 10 July 2021

  43. WHO: The Health System Response Monitor - Poland (2020). https://www.covid19healthsystem.org/countries/poland/countrypage.aspx. Accessed 04 Dec 2020

  44. WHO: WHO public health research agenda for managing infodemics. Technical report, World Health Organization (2021). https://www.who.int/publications/i/item/9789240019508

  45. Wierzba, M., et al.: Basic emotions in the Nencki Affective Word List (NAWL BE): new method of classifying emotional stimuli. PLoS One 10(7), e0132305 (2015)

    Article  Google Scholar 

  46. Wilkin, J., Biggs, E., Tatem, A.J.: Measurement of social networks for innovation within community disaster resilience. Sustainability 11(7), 1943 (2019)

    Article  Google Scholar 

  47. Wojcieszak, M., Garrett, R.K.: Social identity, selective exposure, and affective polarization: how priming national identity shapes attitudes toward immigrants via news selection. Hum. Commun. Res. 44(3), 247–273 (2018)

    Article  Google Scholar 

  48. Wojcieszak, M., Winter, S., Yu, X.: Social norms and selectivity: effects of norms of open-mindedness on content selection and affective polarization. Mass Commun. Soc. 23(4), 455–483 (2020)

    Google Scholar 

  49. Wójta-Kempa, M.: Ocena poziomu poinformowania na temat przebiegu i skutków pandemii COVID-19. Technical report, Uniwersytet Wroclawski (2020)

    Google Scholar 

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Acknowledgement

This study was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, project number 458528774). Support from The Endowment Fund of St. Petersburg State University is gratefully acknowledged.

Author information

Authors and Affiliations

  1. Interdisciplinary Research Institute, Wroclaw, Poland

    Andrzej Jarynowski

  2. System Modeling Group, Institute for Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Berlin, Germany

    Andrzej Jarynowski & Vitaly Belik

  3. Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, USA

    Alexander Semenov

  4. Center of Econometrics and Business Analytics, Saint Petersburg State University, Saint Petersburg, Russia

    Alexander Semenov

  5. Department of Health Humanities and Social Science, Wroclaw Medical University, Wrocław, Poland

    Monika Wójta-Kempa

Authors
  1. Andrzej Jarynowski
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  2. Alexander Semenov
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  3. Monika Wójta-Kempa
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  4. Vitaly Belik
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Corresponding author

Correspondence to Andrzej Jarynowski .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, FL, USA

    David Mohaisen

  2. Kent State University, Kent, OH, USA

    Ruoming Jin

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Jarynowski, A., Semenov, A., Wójta-Kempa, M., Belik, V. (2021). Social Cohesion During the Stay-at-Home Phase of the First Wave of the COVID-19 Pandemic on Polish-Speaking Twitter. In: Mohaisen, D., Jin, R. (eds) Computational Data and Social Networks. CSoNet 2021. Lecture Notes in Computer Science(), vol 13116. Springer, Cham. https://doi.org/10.1007/978-3-030-91434-9_31

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  • DOI: https://doi.org/10.1007/978-3-030-91434-9_31

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