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.

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.

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.

This is a conference review of the 2nd Commemoration of the International Day of Women and Girls in Science, which had the theme Gender, Science and Sustainable Development: The Impact of Media. It was held in United Nations Headquarters, New York City, U.S.A., and a parallel event was held simultaneously in Valetta, Malta. There were 45 listed speakers from 24 countries, with a gender ratio of 2:1 in favour of women. The contribution of the media to socio-cultural barriers facing girls and women in STEM was well-illustrated. However, few actionable solutions were proposed.

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.

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?

This article proposes a classification of the current differences between online videos produced specifically for television and online videos produced for the Internet, based on online audiovisual production on climate change. The classification, which consists of 18 formats divided into two groups that allow comparisons to be made between television and web formats, was created through the quantitative and qualitative content analysis of a sample of 300 videos. The findings show that online video's capacity to generate visits is greater when it has been designed to be broadcast on the Internet than when produced for television.

We present an exploratory study of science communication via online video through various UK-based YouTube science content providers. We interviewed five people responsible for eight of the most viewed and subscribed professionally generated content channels. The study reveals that the immense potential of online video as a science communication tool is widely acknowledged, especially regarding the possibility of establishing a dialogue with the audience and of experimenting with different formats. It also shows that some online video channels fully exploit this potential whilst others focus on providing a supplementary platform for other kinds of science communication, such as print or TV.