The emergence of COVID-19 represented a critical problem for the legitimacy and prestige of the Chinese Communist Party. The Chinese authorities had to fight not only to contain the spread of the virus but also to create a favorable public opinion about how they managed the crisis. Based on Foucault's approach to the “Regime of Truth”, this article analyzes the narrative surrounding the origin of the virus and how science was employed to lend it legitimacy. The article concludes by reviewing how the idea of science as a truth knowledge is used to construct a particular viewpoint, one focused on legitimizing the outbreak containment measures taken by the Chinese government.

‘Coronavirus Disease 2019 (COVID-19)’ is the neologism coined in reference to the pandemic disease currently affecting countries worldwide. The World Health Organization (WHO) was the international entity that coined this neologism in all its official languages, Arabic amongst them. However, in mass media, the most commonly used term is ‘coronavirus’, which is a meronymic denomination. This corpus-based case study aims at giving new insights into the creation of these neologisms in English and their equivalents in Arabic, and to the adequacy of the meronymic use of the term ‘coronavirus’ in the English and Arabic mass media.

The onset of the COVID-19 pandemic has highlighted the criticality of science communication. Utilising a mixed-methods approach, this article takes an audience-focused perspective to analysing COVID-19 related social media posts on 23 popular South Pacific community Facebook pages over a four-month period across eight South Pacific countries. We analyse how audiences co-opt scientific terms, address information gaps and embed it in their lived experience. It is ascertained that online conversations around COVID-19 in the Pacific are intermeshed with both scientific fact and, personal accounts and rumours, referred to locally as ‘coconut wireless’, problematising established modes of empirical enquiry.

A global crisis such as the COVID-19 pandemic that started in early 2020 poses significant challenges for how research is conducted and communicated. We present four case studies from the perspective of an interdisciplinary research institution that switched to “corona-mode” during the first two months of the crisis, focussing all its capacities on COVID-19-related issues, communicating to the public directly and via media, as well as actively advising the national government. The case studies highlight the challenges posed by the increased time pressure, high demand for transparency, and communication of complexity and uncertainty. The article gives insights into how these challenges were addressed in our research institution and how science communication in general can be managed during a crisis.

Understanding how individuals perceive the barriers and benefits of precautionary actions is key for effective communication about public health crises, such as the COVID-19 outbreak. This study used innovative computational methods to analyze 30,000 open-ended responses from a large-scale survey to track how Wisconsin (U.S.A.) residents' perceptions of the benefits of and barriers to performing social distancing evolved over a critical time period (March 19th to April 1st, 2020). Initially, the main barrier was practical related, however, individuals later perceived more multifaceted barriers to social distancing. Communication about COVID-19 should be dynamic and evolve to address people's experiences and needs overtime.

COVID-19 pandemic hit Brazil in February 2020. Controversial information, minimization of the problem, and difficulties resulting from extreme social inequality, led to the intensification of the disease and number of deaths. During this period, the government failed to provide information to the Deaf minority that uses Brazilian Sign Language to communicate. This study analyzes information provided by a TV with accessibility, as well as a Facebook page created by Deaf and hearing interpreters, and videos posted on Instagram and YouTube for that community. The novelty of the subject required linguistic efforts so that information could be coherent in sign language.

The novel coronavirus (COVID-19) which was first reported in China's Wuhan province in December 2019 became a global pandemic within a few months. The exponential rise in COVID-19 cases globally was accompanied by a spike in misinformation about the pandemic, particularly on social media. Employing Social Network Theory as a lens, this qualitative study explores how selected international celebrities appropriated their Twitter micro-blogging pages to announce their COVID-19 infection to the world. The study finds that these celebrities can take advantage of their huge social media following to counter disinfodemic and promote awareness about health pandemics.

This article seeks to address the lack of sociocultural diversity in the field of science communication by broadening conceptions of citizen science to include citizen social science. Developing citizen social science as a concept and set of practices can increase the diversity of publics who engage in science communication endeavors if citizen social science explicitly aims at addressing social justice issues. First, I situate citizen social science within the histories of citizen science and participatory action research to demonstrate how the three approaches are compatible. Next, I outline the tenets of citizen social science as they are informed by citizen science and participatory action research goals. I then use these tenets as criteria to evaluate the extent to which my case study, a community-based research project called ‘Rustbelt Theater’, counts as a citizen social science project.

Inequalities in scientific knowledge are the subject of increasing attention, so how factual science knowledge is measured, and any inconsistencies in said measurement, is extremely relevant to the field of science communication. Different operationalizations of factual science knowledge are used interchangeably in research, potentially resulting in artificially comparable knowledge levels among respondents. Here, we present data from an experiment embedded in an online survey conducted in the United States (N = 1,530) that examined the distribution of factual science knowledge responses on a 3- vs. 5-point response scale. Though the scale did not impact a summative knowledge index, significant differences emerged when knowledge items were analyzed individually or grouped based on whether the correct response was “true” or “false.” Our findings emphasize the necessity for communicators to consider the goals of knowledge assessment when making operationalization decisions.

In this series of comments, we argue for Science Communication as an enabler of transdisciplinary, integrative collaboration in the context of today’s complex, multi-stakeholder issues. Participatory design, as a collaborative method, is effective in achieving mutual learning, shared understandings, integrating disciplines and creating solutions that make sense in the multi-layered reality of today’s challenges. Science Communication, therefore, is communication design in transdisciplinary collaborations.