During the course of several decades, several scientists and groups of scientists lobbied the British Broadcasting Corporation (BBC) about science broadcasting. A consistent theme of the interventions was that science broadcasting should be given exceptional treatment both in its content, which was to have a strongly didactic element, and in its managerial arrangements within the BBC. This privileging of science would have amounted to ‘scientific exceptionalism’. The article looks at the nature of this exceptionalism and broadcasters' responses to it.

The history of science communication in Aotearoa New Zealand starts with the stories told by the indigenous Māori people and has often been rooted in large, controversial environmental or technological issues. Although science communication in New Zealand began with a culture of wise men informing an uneducated public, by the 1990s it had begun to explore ideas of public outreach and engagement. Driven in part by the country's landscape and unique wildlife, media such as film documentary have risen to take centre stage in public engagement with science. Public radio also features in discussion of scientific issues. New centres for the training of science communicators have emerged and there is governmental and public support for science communication in New Zealand, as demonstrated by the number of awards and funding opportunities offered annually, for those who achieve. However a more critical and strategic approach to science communication in the future is needed if New Zealand wants a more science-literate public, and a more public-literate science community.

Previous studies have concluded that science coverage in Soviet countries was determined by the ideological function of the media. This paper analyses the science coverage in Soviet Estonian publications Rahva Hääl and Horisont in 1960/1967 and 1980 and demonstrates that the popularization of science existed as an independent function of articles. This suggests that the parallel developments in science communication on both sides of the Iron Curtain deserve further study.

Computational social science represents an interdisciplinary approach to the study of reality based on advanced computer tools. From economics to political science, from journalism to sociology, digital approaches and techniques for the analysis and management of large quantities of data have now been adopted in several disciplines. The papers in this JCOM commentary focus on the use of such approaches and techniques in the research on science communication. As the papers point out, the most significant advantages of a computational approach in this sector include the chance to open up a range of new research opportunities: from the study of technical and scientific controversies to citizen science, from the definition of new norms and practices for science journalism to open science issues. On the other hand, difficulties are shared with other areas of application. The main risk is that the large quantity of data available can overwhelm the importance of theory. Instead, as the papers in this commentary demonstrate, big data should push scientists to pursue a deeper epistemological and methodological reflection also in the research on science communication.

This article examines certain guiding tenets of science journalism in the era of big data by focusing on its engagement with citizen science. Having placed citizen science in historical context, it highlights early interventions intended to help establish the basis for an alternative epistemological ethos recognising the scientist as citizen and the citizen as scientist. Next, the article assesses further implications for science journalism by examining the challenges posed by big data in the realm of citizen science. Pertinent issues include potential risks associated with data quality, access dynamics, the difficulty investigating algorithms, and concerns about certain constraints impacting on transparency and accountability.

Online visual communication of science focuses on interactive sharing and participatory collaboration rather than simple knowledge dissemination. Visuals need to be stunning to draw people in and engage them, and a cross-media approach together with digital multimedia tools can be used to develop a clear and engaging narrative to communicate complex scientific topics. On the web both science communicators and the public manage co-create, shape, modify, decontextualise and share visuals. When it happens that low science literacy publics devoid a picture of its information assets, caption or source, they distort image meaning and perpetuate misinformation.

Although with some reluctance, social sciences now seem to have accepted the challenge deriving from the growing digitisation of communication and the consequent flow of data on the web. There are actually various empirical studies that use the digital traces left by the myriads of interactions that occur through social media and e-commerce platforms, and this trend also concerns the research in the PCST field. However, the opportunity offered by the digitisation of traditional mass media communication — the newspapers in particular — is much less exploited. Building on the experience of the TIPS project, this paper discusses the advantages and the limits of computational social science on PCST using newspapers as the main source of data. Some methodological issues are also addressed, in order to suggest a more aware use of such data and the several computational tools available for analysing them.

Thanks, on the one hand, to the extraordinary availability of colossal textual archives and, on the other hand, to advances in computational possibilities, today the social scientist has at their disposal an extraordinary laboratory, made of millions of interacting subjects and billions of texts. An unprecedented, yet challenging, opportunity for science. How to test, corroborate models? How to control, interpret and validate Big Data? What is the role of theory in the universe of patterns and statistical correlations? In this article, we will show some general characteristics of the use of computational tools for the analysis of texts, and some applications in the areas of public communication of S&T and Science and Technology Studies (STS), also showing some of their limitations and pitfalls.

Social media is restructuring the dynamics of science communication processes inside and outside the scientific world. As concerns science communication addressed to the general public, we are witnessing the advent of communication practices that are more similar to public relations than to the traditional processes of the Public Understanding of Science. By analysing the digital communication strategies implemented for the anti-vaccination documentary Vaxxed, the paper illustrates these new communication dynamics, that are both social and computational.

The future challenges within science communication lie in a 'grey area' where the frontiers between production and sharing of knowledge are blurred. An area in which we can satisfy at the same time and within the same activity the autonomous interests of researchers and those of other stakeholders, including lay publics. Settings are emerging, where we can provide real contribution to scientific research and at the same time facilitate the publics in their process of hacking scientific knowledge to serve autonomously defined and often unpredictable functions. Some are linked to research institutes, others to science centres, others are precisely inbetween. This editorial explores why these special places are needed, and present some case studies, leading to the need of interpreting science culture centres as research facilities.