Information visualization could be used to leverage the credibility of displayed scientific data. However, little was known about how display characteristics interact with individuals' predispositions to affect perception of data credibility. Using an experiment with 517 participants, we tested perceptions of data credibility by manipulating data visualizations related to the issue of nuclear fuel cycle based on three characteristics: graph format, graph interactivity, and source attribution. Results showed that viewers tend to rely on preexisting levels of trust and peripheral cues, such as source attribution, to judge the credibility of shown data, whereas their comprehension level did not relate to perception of data credibility. We discussed the implications for science communicators and design professionals.

Public trust in agricultural biotechnology organizations that produce so-called ‘genetically-modified organisms’ (GMOs) is affected by misinformed attacks on GM technology and worry that producers' concern for profits overrides concern for the public good. In an experiment, we found that reporting that the industry engages in open and transparent research practices increased the perceived trustworthiness of university and corporate organizations involved with GMOs. Universities were considered more trustworthy than corporations overall, supporting prior findings in other technology domains. The results suggest that commitment to, and communication of, open and transparent research practices should be part of the process of implementing agricultural biotechnologies.

New public participatory modes of practice are emerging in fields as diverse as politics, healthcare and research. In part, these DIY and citizen-led initiatives have gained momentum from the optimism of new technologies, which allow unprecedented access to previously inaccessible knowledge and tools. Equally, they are the result of a growing frustration with power hierarchies and systems that reinforce elites. Experts are increasingly regarded with suspicion as trust in public institutions is eroded and individuals begin to give more weight to personal accounts, and information shared within networks of peers. In this climate there is a critical need for improved knowledge transfer practices based on improved empathy, understanding and communication of shared values and motivations. In this session we questioned the role of expertise in a changing landscape of knowledge production and practice. Using the lens of science & technology communication and hands-on DIY practices, we explored how to move towards a more inclusive model of knowledge transfer, where different types of expertise are acknowledged and valued.

In response to EU draft legislation on robots and artificial intelligence ― which included the headline-grabbing proposals to introduce rights for ‘e-persons’ and necessitating that robots come equipped with a ‘kill switch’ ― a diverse group of experts and academics gathered in Sheffield as part of the Science in Public 2017 conference. Panellists and the audience discussed the origins and implications of the ideas behind the EU initiative, and more specifically, whether robots or artificial intelligence qualifies for right as ‘persons’, and how the EU proposal imagines robots and artificial intelligence in particular, historically-contingent ways that influence or distort our present discussions and attempts to legislate on the future use and development of technology.

The Science in Public Conference, held this year at the University of Sheffield, generated animated discussion of a wide range of topics. Six commentaries cover conference themes around engagement with science and technology and how science and technology are shaping what it means to be human. The commentaries range from discussions of our relationship with expertise and how science communication can better act as a knowledge broker in a time of ‘alternative facts’ to exploration of fictional narratives and how they might be used to open up dialogue about science and technology.

To unravel how science museums can prepare citizens for reflection on research and innovation, this study evaluates a playful exhibit prototype, Opinion Lab (OL). The OL made children and parents reflect on synthetic biology (SB), supported by conversation exercises, citizen-narratives, and futuristic scenarios. We analysed 26 OL test sessions performed in NEMO science museum Amsterdam. The prototype appeared to support participants in opinion forming, counter-argument incorporation and extrapolation. Also, reflection on deeper questions such as `what is nature?' evoked understanding for alternative viewpoints. These findings show that playful exhibits, like the OL, potentially facilitate dialogue in science museums very well.

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.

How users discuss climate change online is one of the crucial questions (science) communication scholars address nowadays. This study contributes by approaching the issue through the theoretical concept of online public arenas. The diversity of topics and perceptions in the climate change discourse is explored by comparing different arenas. German journalistic articles and their reader comments as well as scientific expert blogs are analyzed by quantitative manual and automated content analysis (n=5,301). Findings demonstrate a larger diversity of topics and interpretations in arenas with low barriers to communication. Overall, climate change skepticism is rare, but mostly present in lay publics.

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 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.