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.

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.

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.

Arthur Dent's reluctant hitchhike through the Milky Way would not have been possible without the babelfish, which was nourished by his brain waves and in return decoded foreign languages for him. In much the same way, public intellectuals serve as science and technology academia's babelfish for the non-STEM savvy. While STEM academics continue to push back the frontiers of knowledge, public intellectuals equip the community with the knowledge we need to make big decisions, both for our own individual lives and for our society.

In an information free-for-all why should scientists bother to add their voice? In this commentary piece I argue there is an increasingly important role for scientists amongst the growing ranks of public intellectuals and the many who style themselves as such. First, we must become the sifters and sorters. We need to be willing to use our research and analytical skills to identify what is valuable amongst all the noise, and, if necessary, to volubly reject what is not. And, second, we need to create and defend the space everyone needs for deep thought and consideration. We need to influence ongoing debates by seeking to push them towards evidence-based arguments and areas of scientific consensus. To sift out the deliberately distracting stories and to counter fake news.

While science communication has become increasingly professionalised, philosophers have been far less active in, and reflective about, how we talk to the public. In thinking about the relationship between the ‘public intellectual’ and science communication, however,  philosophy has some important contributions to make, despite the differences of content and disciplinary approach. What, then, can both these professions learn from each other about how to engage with the public - and the risks that this might involve?

This article provides a starting position and scene-setter for an invited commentary series on science communication and public intellectualism. It begins by briefly considering what intellectualism and public intellectualism are, before discussing their relationship with science communication, especially in academia. It ends with a call to science communication academics and practitioners to either become more active in challenging the status quo, or to help support those who wish to by engendering a professional environment that encourages risk-taking and speaking-out in public about critical social issues.

This commentary is both a case study of the evolution of one public intellectual, and an analysis of how he has broadened his voice beyond the standard academic bubble. His story gives a perspective on the question of, “How do public intellectuals get their start?” They almost certainly begin as “mere” intellectuals — the public part comes later. But how? How does a studious academic go from following the media to being part of the media?

Differences in viewpoints between science and society, like in for example the HPV-vaccination debate, should be considered from a socio-technical system perspective, and not solely from a boundary perspective between the lay public, medical doctors and scientists. Recent developments in the HPV-vaccination case show how the debate concerning uncertainty amongst scientists and the lay audience is mostly focussed on the improvement of understanding of lay people about why vaccination is important. This boundary thinking leads to the idea that once the boundary is crossed, the problem is solved. However, such ‘bug-fixing’ and technocentric boundary thinking is not leading to sustainable resolutions. We view science communication as a key aspect of the socio-technical system of scientific, technological and innovation  development, in which the vaccine and its corresponding immunisation program are socially constructed. A process of construction that takes place all the way from the fuzzy front-end of their scientific conception until the marketing back-end. The authority, legitimacy and therefore the license to operate of scientists, engineers and policy makers are discussed, primarily at this boundary, but develops during the whole process of innovation. During upstream processes, professional roles and according behaviour are also defined.

In this commentary we state that the development of science communication strategies should also start upstream, and that the ‘bug-fixes’ of improved listening to (and not by) the lay audience, could be become a more sustainable solution to the HPV-debate if this process of listening by experts considers the socio-technical system of vaccination as a whole. One of the outcomes might be that the dialogue between scientists, policy makers and the lay audience is about the various possible scenarios that deal with inherent scientific and societal uncertainty in which the inevitable uncertainty of science becomes more explicit. It is not known according whether this will lead to more profound interactions, however we would like to explore this possibility a bit more from an uncertain innovation process point of view. This could clear the way for a process of co-inquiry into ideas concerning shared responsibility and accountability. The latter means that the focus in the debate is more balanced and concerns the social network, and is not purely focussed on the betterment ofunderstanding by the lay  audience. Moreover, in this way we consider communication and interaction between actors not as a means of crossing any boundaries (since that may be impossible), but as a means to perturb a status quo or equilibrium within a network of actors. This makes apparent boundaries more explicit and discussable. Methods of interaction, e.g. based on concepts like midstream modulation, may lead to another discourse and give way to new dynamics in this social system.