The article presents the results of a survey of science journalists from six world regions about their work during the COVID-19 pandemic. The responses show perception of increasing workload for most participants. Local scientists and peer-reviewed articles are the main sources. According to the respondents, scientists have become more available during the pandemic. The use of preprint articles was a frequent practice, but a considerable proportion declared they did not adopt different procedures when reporting them. Most also said they take fake news into account when writing their stories.

Despite scientific consensus that genetically modified (GM) food is safe to eat, the American public remains skeptical. This study (N=73) investigates the proposed role of disgust in driving opposition to GM food, which is debated in extant literature. Using physiological measures of disgust, alongside self-report measures, this study suggests that disgust plays a role in driving skepticism toward GM food, but not other food and health technologies. We further discuss the possible influence of risk sensitivity and perceptions of unnaturalness on attitudes toward novel science.

Social cues are used to facilitate online science communication, yet little is known about how they may play a role in online public engagement with science sites. This mixed-method study investigates r/science Ask Me Anything (AMA) sessions on Reddit through content analysis and an online survey to identify the types and variations of social cues manifested in six r/science AMAs across varying disciplines. The study's contributions are twofold. One is to investigate social cue uses in online science communication; the other is to develop a coding scheme for social cues that incorporates both positive and negative social cues in the analysis.

“Follow the science” became the mantra for responding to COVID-19 pandemic. However, for the public this also meant “follow the scientists”, and this led to uneasiness as some viewed scientists as not credible. We investigate how beliefs about the way scientists develop their findings affect pandemic-related views. Our analysis shows that beliefs about scientists' objectivity predict views regrading coronavirus-related risks, behavioral changes, and policy priorities. While political party identity also predicts views about COVID-19-related concerns, these vary by political leaders whose approaches embraced versus dismissed science-based strategies, highlighting the importance of perceptions of scientists in shaping pandemic-related attitudes and beliefs.

This paper is the culmination of several meaning-making activities between an external researcher, PES practitioners, and social scientist researchers who considered the unique contributions that can be made through RPPs on PES (that is, research-practice partnerships on public engagement with science). Based on the experiences from three RPP projects, the group noted that the PES context may be particularly suited to RPPs, and identified the importance of working as thinking-partners who support reciprocal decision-making. Recommendations are made in support of using these approaches to advance practical knowledge-building and reduce shared frustrations about the disconnect between research and practice in PES.

Physics is often perceived as difficult, but there has been little research on how physics is reported in the media. In this two-stage content analysis, we examine the portrayal of physics in five major Dutch newspapers. Results show that astronomy and astrophysics is the most prominent field. Furthermore, newspaper articles are triggered almost equally by scientific and non-scientific events. Finally, the majority of described physics concepts are framed as difficult, but journalists do provide explanations for them.

The modern science festival movement has grown significantly since the Edinburgh International Science Festival launched in 1989. Hundreds of science festivals now occur annually and vary widely. This article examines how the term “science festival” is used within research and practice. We find that most research articles fail to describe the science festivals they study. A subsequent analysis of festival websites and other publicly available information confirms the wide variability of science festival formats, which suggests the need for descriptive information about science festivals in scholarly work.

Co-creation aims at integrating citizens in the entire research process. The citizen linguistics project German in Austria tests this approach in the humanities based on the assumption that language is ubiquitous. The project combines different forms of public participation, including a co-created format, where citizens can raise (and answer) research questions about the German language in Austria and a linguistic treasure hunt, where citizens collect and analyze data on linguistic landscapes. However, co-creation was hard to implement. Despite a high number of participants, their willingness to contribute to more than one research step was low.

Citizen science involves laymen in some steps of a scientific experiment: citizens are volunteers devoting their free time to citizen science projects. Therefore it is important to investigate the factors influencing their motivation and engagement. In this paper, we present our study to investigate the motivation factors of the TESS photometer network participants, an initiative to collect light pollution data. We present the results and insight of our investigation and the instrument we adopted, which can be useful for the broad citizen science community.

Positioning citizen science within the broader historical public engagement framework demonstrates how it has the potential to effectively tackle research and innovation issues. Citizen science approaches have their own challenges, which need to be considered in order to achieve this aim and contribute to wider and deeper public engagement. However, programme evaluations, which discuss lessons learned in engaging the public and other stakeholders with science are rare. To address this gap, we present the H2020-funded DITOs project and discuss the use of logic models in citizen science. We share the project’s assumptions, design considerations for deeper engagement and its impact pathways demonstrating how logic models can be utilised in citizen science to monitor programme effectiveness and for their successful implementation. We hope that this work will inspire citizen science practitioners to use similar tools and by doing so, share their experiences and potential barriers. This knowledge is essential for improving the way citizen science is currently practiced and its impacts to both science and society.