Communicating Science in Times of Crisis. Группа авторов
collapse along with widescale morbidity and mortality. There are those who infect media forums with toxicity in ways to disrupt, alienate, or control the narrative (Salminen et al., 2020). “Already we have seen people damage 5G infrastructure, assault people of Asian heritage, deliberately violate public health directives, and ingest home remedies, all in reaction to the various conspiracy theories active in social media and the news” (Shahsavari et al., 2020, p. 17). In the domain of economic systems, “digital misinformation has become so pervasive in online social media that it has been listed by the WEF [World Economic Forum] as one of the main threats to human society” (Del Vicario et al., 2016, p. 558). It may be only slightly ironic that climate change and pandemics are potential existential threats to our species’ survival, which makes the dystopic uses of information and communication that propel or sustain such threats their own kind of enabling existential threat.
Acknowledgements
This material is based on work supported by the National Science Foundation under Grant No. 1416509; the project is titled “Spatiotemporal Modeling of Human Dynamics Across Social Media and Social Networks.” Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.
References
1 3M. (2020). State of science index: 2020 global report. https://multimedia.3m.com/mws/media/1898512O/3m-sosi-2020-pandemic-pulse-global-report-pdf.pdf
2 Alemanno, A. (2018). How to counter fake news? A taxonomy of anti-fake news approaches. European Journal of Risk Regulation, 9(1), 1–5. https://doi.org/10.1017/err.2018.12
3 Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211–236. https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.31.2.211
4 Allcott, H., Gentzkow, M., & Yu, C. (2019). Trends in the diffusion of misinformation on social media. Research and Politics, 31(2), 211–236. https://doi.org/10.1257/jep.31.2.211
5 Allem, J.-P., & Ferrara, E. (2018). Could social bots pose a threat to public health? American Journal of Public Health, 108(8), 1005–1006. https://doi.org/10.2105/AJPH.2018.304512
6 Al-Rawi, A., Groshek, J., & Zhang, L. (2019). What the fake? Assessing the extent of networked political spamming and bots in the propagation of #fakenews on Twitter. Online Information Review, 43(1), 53–71. https://doi.org/10.1108/OIR-02-2018-0065
7 Alshaabi, T., Arnold, M. V., Minot, J. R., Adams, J. L., Dewjurst, D. R., Reagan, A. J., Muhamad, R., Danforth, C. M., & Dodds, P. S. (2021). How the world’s collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. PLoS ONE, 16(1), e0244476. https://doi.org/10.1371/journal.pone.0244476
8 Alzamora, G. C., & Andrade, L. (2019). The transmedia dynamics of fake news by the pragmatic conception of truth. MATRIZes, 13(1), 109–131. https://doi.org/10.11606/issn.1982-8160.v13i1p109-131
9 Andrade, G. (2020). Medical conspiracy theories: Cognitive science and implications for ethics. Medicine, Health Care and Philosophy, 23(3), 505–518. https://doi.org/10.1007/s11019-020-09951-6
10 Asprem, E., & Dyrendal, A. (2015). Conspirituality reconsidered: How surprising and how new is the confluence of spirituality and conspiracy theory? Journal of Contemporary Religion, 30(3), 367–382. https://doi.org/10.1080/13537903.2015.1081339
11 Atlani-Duault, L., Ward, J. K., Roy, M., Morin, C., & Wilson, A. (2020). Tracking online heroization and blame in epidemics. The Lancet Public Health, 5(3), e137-e138. https://doi.org/10.1016/S2468-2667(20)30033-5
12 Avramov, K., Gatov, V., & Yablokov, I. (2020). Conspiracy theories and fake news. In M. Butter & P. Knight (Eds.), Routledge handbook of conspiracy theories (pp. 512–524). Routledge.
13 Baesler, E. J. (1995). Construction and test of an empirical measure for narrative coherence and fidelity. Communication Reports, 8(2), 97–101. https://doi.org/10.1080/08934219509367615
14 Bangerter, A., Wagner-Egger, P., & Delouvée, S. (2020). How conspiracy theories spread. In M. Butter & P. Knight (Eds.), Routledge handbook of conspiracy theories (pp. 206–218). Routledge.
15 Baptista, J. P. & Gradim, A. (2020). Understanding fake news consumption: A review. Social Science, 9(185), 1–22. https://doi.org/10.3390/socsci9100185
16 Berduygina, O. N., Vladimirova, T. N., & Chernyaeva, E. V. (2019). Trends in the spread of fake news in mass media. Media Watch, 10(1), 122–132. https://doi.org/10.15655/mw/2019/v10i1/49561
17 Bessi, A., Zollo, F., Del Vicario, M., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2015). Trend of narratives in the age of misinformation. PLoS ONE, 10(8), 1–16. https://doi.org/10.1371/journal.pone.0134641
18 Bjerg, O., & Presskorn-Thygesen, T. (2017). Conspiracy theory: Truth claim or language game? Theory, Culture & Society, 34(1), 137–159. https://doi.org/10.1177/0263276416657880
19 Black, P. J., Wollis, M., Woodworth, M., & Hancock, J. T. (2015, June). A linguistic analysis of grooming strategies of online child sex offenders: Implications for our understanding of predatory sexual behavior in an increasingly computer-mediated world. Child Abuse & Neglect, 44, 140–149. https://doi.org/10.1016/j.chiabu.2014.12.004
20 Bondielli, A., & Marcelloni, F. (2019). A survey on fake news and rumour detection techniques. Information Sciences, 497, 38–55. https://doi.org/10.1016/j.ins.2019.05.035
21 Bradshaw, S., & Howard, P. N. (2018). The global organization of social media disinformation campaigns. Journal of International Affairs, 71(1.5), 23–31. https://www.jstor.org/stable/26508115
22 Bradshaw, S., Howard, P. N., Kollanyi, B., & Neudert, L.-M. (2020). Sourcing and automation of political news and information over social media in the United States, 2016–2018. Political Communication, 37(2), 173–193. https://doi.org/10.1080/10584609.2019.1663322
23 Brennen, J. S., Simon, F. M., Howard, P. N., & Nielsen, R. K. (2020, April). Types, sources, and claims of COVID-19 misinformation. Reuters Institute for the Study of Journalism, University of Oxford. https://reutersinstitute.politics.ox.ac.uk/types-sources-and-claims-covid-19-misinformation
24 Britton, T., Ball, F., & Trapman, P. (2020). A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2. Science, 369(6505), 846–849.