Citizen Science is believed to contribute significantly to the democratisation of science, engaging non-scientists in scientific research. Participatory approaches to science communication share the same interest through public participation and public engagement. In the attempt to connect these two debates both theoretically and empirically, we provide an analysis of the communication tools and strategies used by 157 Citizen Science projects across the EU, UK, and Switzerland. Our analysis reports that the CS projects surveyed tend to interpret communication as a disseminating activity, rather than as a tool to promote appropriate communication-based encounters with both project participants and other potential target audiences.

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.