The Pandemic of Conspiracies in the COVID-19 Age: How Twitter Reinforces Online Infodemic

Sara Monaci 1 2 *
More Detail
1 DIST (Interuniversity Department of Regional and Urban Studies and Planning), ITALY
2 Politecnico di Torino, ITALY
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 11, Issue 4, Article No: e202120. https://doi.org/10.30935/ojcmt/11203
OPEN ACCESS   1470 Views   1313 Downloads   Published online: 02 Sep 2021
Download Full Text (PDF)

ABSTRACT

The pandemic has accelerated the pervasiveness of social media as tools to obviate, in times of forced distancing, the need for social relations. As Deborah Lupton notes, digital media played a much more important role in the COVID-19 phase than in the 1990s and the HIV/AIDS emergency; however they have also contributed to the spread of misinformation and fake news, often characterized by conspiracy-type narratives The investigation, carried out in line with the Digital Methods approach, analyses how a popular conspiracy theory on Twitter - the flat Earth theory – activates and reinforces the spread of other intertwined conspiracies by exploiting some popular hashtags used as popularity multipliers. The essay analyses the role of Twitter in reinforcing informational cascades related to multiple conspiracies such as the flat Earth, the COVID-19 /5G and the no-vax theories. Moreover, the analysed contents reveal a significant polarisation identified by hate content and an aggressive lexicon used both by conspiracy supporters and by those who tend to contrast them.

CITATION

Monaci, S. (2021). The Pandemic of Conspiracies in the COVID-19 Age: How Twitter Reinforces Online Infodemic. Online Journal of Communication and Media Technologies, 11(4), e202120. https://doi.org/10.30935/ojcmt/11203

REFERENCES

  • Allington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (2020). Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psychological Medicine, 1-7. https://doi.org/10.1017/S003329172000224X
  • Anderson C. (2008). The end of theory: The data deluge makes the scientific method obsolete. Wired magazine, 16(7), 16-07.
  • Baym, N. K. (2015). Personal connections in the digital age. John Wiley & Sons.
  • Bertetti, P. (2020). Della terra piatta, dei vaccini e di alcuni complotti. Dinamiche della credulità in rete [Flat earth, vaccines and some plots. Dynamics of credulity on the net]. In La persuasione dei e nei media (pp. 45 – 68). Edizioni ETS.
  • Borra E., Rieder B., (2014). Programmed method: Developing a toolset for capturing and analyzing tweets. Aslib Journal of Information Management, 66(3), 262-278. https://doi.org/10.1108/AJIM-09-2013-0094
  • Bruns, A. (2017). Echo chamber? What echo chamber? Reviewing the evidence. In 6th Biennal Future of Journalism Conference (FOJ17).
  • Chang, H. C. (2010). A new perspective on Twitter hashtag use: Diffusion of innovation theory. Proceedings of the American Society for Information Science and Technology, 47(1), 1-4. https://doi.org/10.1002/meet.14504701295
  • Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F., & Scala, A. (2020). The COVID-19 social media infodemic. Scientific Reports, 10(1), 1-10. https://doi.org/10.1038/s41598-020-73510-5
  • Conti, K., Desai, S., Stawicki, S. P., & Papadimos, T. J. (2020). The evolving interplay between social media and international health security: A point of view. In Contemporary Developments and Perspectives in International Health Security-Volume 1. IntechOpen. https://doi.org/10.5772/intechopen.93215
  • Ferrari, F., & Moruzzi, S. (2020). Verità e post-verità: Dall’indagine alla post-indagine [Truth and post-truth: From investigation to post-investigation]. Bononia University Press.
  • Gomes, L. (2020). In #flatearth we trust: The danger of the self-representation of flat earthers on Twitter [Unpublished master’s thesis]. Western University.
  • Islam, M. S., Sarkar, T., Khan, S. H., Kamal, A. H. M., Hasan, S. M., Kabir, A., Yeasmin, D., Islam, M. A., Chowdhury, k. I. A., Anwar, K. S., Chightai, A. A., & Seale, H. (2020). COVID-19–related infodemic and its impact on public health: A global social media analysis. The American Journal of Tropical Medicine and Hygiene, 103(4), 1621. https://doi.org/10.4269/ajtmh.20-0812
  • Lazer, D. M., Pentland, A., Watts, D. J., Aral, S., Athey, S., Contractor, N., Freelon, D., Gonzales-Bailon, S., King, G., Margetts, H., Nelson., A., Slganik, M. J., Strohmaier, M., Vespignani, A., & Wagner C. (2020). Computational social science: Obstacles and opportunities. Science, 369(6507), 1060-1062. https://doi.org/10.1126/science.aaz8170
  • Leone, M. (2016). Fondamentalismo, anomia, complotto [Fundamentalism, anomie, conspiracy]. Lexia, 23-24, 55-68.
  • Lewis, P., & McCormick, E. (2018). How an ex-YouTube insider investigated its secret algorithm. The Guardian. https://www.theguardian.com/technology/2018/feb/02/youtube-algorithm-election-clinton-trump-guillaume-chaslot
  • Limaye, R. J., Sauer, M., Ali, J., Bernstein, J., Wahl, B., Barnhill, A., & Labrique, A. (2020). Building trust while influencing online COVID-19 content in the social media world. The Lancet Digital Health, 2(6), e277-e278. https://doi.org/10.1016/S2589-7500(20)30084-4
  • Liu, M., Caputi, T. L., Dredze, M., Kesselheim, A. S., & Ayers, J. W. (2020). Internet searches for unproven COVID-19 therapies in the United States. Journal of American Medical Association Internal Medicine, 180(8), 1116-1118.
  • Mian, A., & Khan, S. (2020). Coronavirus: the spread of misinformation. BioMedCentral Medicine, 18(1), 1-2. https://doi.org/10.1186/s12916-020-01556-3
  • Neville-Shepard, R. (2018). Paranoid Style and Subtextual Form in Modern Conspiracy Rhetoric. Southern Communication Journal, 83(2), 119-132. https://doi.org/10.1080/1041794X.2017.1423106
  • Önnerfors, A., & Krouwel, A. (2021). Unlocking the ‘black box’ of conspiracy theories in and about Europe. In Europe: Continent of Conspiracies (pp. 253-264). Routledge. https://doi.org/10.4324/9781003048640
  • Panchenko, A. (2016, January). Introduction: Anthropology and Conspiracy Theory. In Forum for Anthropology & Culture (No. 12).
  • Papakyriakopoulos, O., Serrano, J. C. M., & Hegelich, S. (2020). The spread of COVID-19 conspiracy theories on social media and the effect of content moderation. The Harvard Kennedy School (HKS) Misinformation Review, 1. https://doi.org/10.37016/mr-2020-034
  • Perissinotto, A. (2016). Il discorso del complotto [The speech of the conspiracy]. Lexia, 23-24, 109-122.
  • Rogers, R. (2019). Doing digital methods. SAGE Publications Limited.
  • Shahsavari, S., Holur, P., Wang, T., Tangherlini, T. R., & Roychowdhury, V. (2020). Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news. Journal of Computational Social Science, 3(2), 279-317. https://doi.org/10.1007/s42001-020-00086-5
  • Sunstein, C. (2017). Hashtag Republic. Princeton University Press.
  • Tintori A., L. Cerbara, G. Ciancimino, F. La Longa, M. Crescimbene (2020). Mutamenti Sociali in Atto-COVID19 [Social Changes in COVID19 Act]. Rapporto di ricerca del CNR. https://www.irpps.cnr.it/musa/msa-covid19/
  • Wexler, M. N., & Havers, G. (2002). Conspiracy: A Dramaturgical Explanation. International Journal of Group Tensions, 31(3), 247-266. https://doi.org/10.1023/A:1020369305459
  • Zuckerman, E. (2019). QAnon and the emergence of the unreal. Journal of Design and Science, 6, 1-15.