Communicating Science in Times of Crisis

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Learn more about how people communicate during crises with this insightful collection of resources  In 
, distinguished academics and editors H. Dan O’Hair and Mary John O’Hair have delivered an insightful collection of resources designed to shed light on the implications of attempting to communicate science to the public in times of crisis. Using the recent and ongoing coronavirus outbreak as a case study, the authors explain how to balance scientific findings with social and cultural issues, the ability of media to facilitate science and mitigate the impact of adverse events, and the ethical repercussions of communication during unpredictable, ongoing events. 
The first volume in a set of two, 
 isolates a particular issue or concern in each chapter and exposes the difficult choices and processes facing communicators in times of crisis or upheaval. The book connects scientific issues with public policy and creates a coherent fabric across several communication studies and disciplines. The subjects addressed include: 
A detailed background discussion of historical medical crises and how they were handled by the scientific and political communities of the time Cognitive and emotional responses to communications during a crisis Social media communication during a crisis, and the use of social media by authority figures during crises Communications about health care-related subjects Data strategies undertaken by people in authority during the coronavirus crisis Perfect for communication scholars and researchers who focus on media and communication, 
 also has a place on the bookshelves of those who specialize in particular aspects of the contexts raised in each of the chapters: social media communication, public policy, and health care.

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There are glimmers of hope. A global survey by 3M indexes public attitudes toward science. The 2020 survey found a trend of decreasing agreement with the statement "I am skeptical of science" from pre- (35%) to post- (28%) pandemic, and a corresponding increase in trust of science. Scientists are normatively trusted as sources (67% to 84%) compared to friends or family (60%), colleagues (48%), company websites (47%), social media posts (27%), politicians (27%), or celebrities (25%). Much of these trends appears directly attributable to the COVID-19 pandemic. Research indicates that, at least on Facebook, the amount of user interactions with fake news recently decreased, even if such interaction was unchanged on Twitter (Allcott et al., 2019). Such optimism needs to be qualified, however, by the fact that this decrease represented a shift from 160 million engagements per month by the end of 2016 to 60 million, compared to 200–250 million engagements with more traditional news sources ( New York Times , Wall Street Journal , CNN , Fox News , etc.). Similarly, “on Twitter, shares of false content have been in the 3–5 million per month range since the end of 2016, compared to roughly 20 million per month for the major news sites” (Allcott et al., 2019, p. 4). That is, false information is still engaging tens of millions of people through social media, even after both media platforms instituted various internal algorithmic and surveillance changes intended to contend with such false information.

There is a plenty of space for critical and interpretive theory to contribute to managing such crises. However, implying that there are no immutable truths to such crises is not only untenable but dangerous. Diminution of fake news as mere trope, or celebrations of fake news as evidence of informational pluralism, must be tempered by the actual crises that increasingly threaten the human species, including climate change, despeciation, hunger, and, of course, diseases. Given that malignant actors and information distortion in social media can threaten democratic institutions, norms (Bradshaw & Howard, 2018; Brody & Meier, 2018; Nimmo et al., 2020; Pomerantsev & Weiss, 2014), and reforms (Jolley et al., 2018), disinformation cannot be presumed to produce net benefits in society. Some information can misinform and disinform in ways that exacerbate such crises, and in so doing, directly cause actual forms of cultural and institutional 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

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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.

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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.

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