As the digital revolution continues and our lives become increasingly governed by smart technologies, there is a rising need for reflection and critical debate about where we are, where we are headed, and where we want to be. Against this background, the paper suggests that one way to foster such discussion is by engaging with the world of fiction, with imaginative stories that explore the spaces, places, and politics of alternative realities. Hence, after a concise discussion of the concept of speculative fiction, we introduce the notion of datafictions as an umbrella term for speculative
The rise of artificial intelligence has recently led to bots writing real news stories about sports, finance and politics. As yet, bots have not turned their attention to science, and some people still mistakenly think science is too complex for bots to write about. In fact, a small number of insiders are now applying AI algorithms to summarise scientific research papers and automatically turn them into simple press releases and news stories. Could the science beat be next in line for automation, potentially making many science reporters --- and even editors --- superfluous to science
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
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 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
In this book, Brian G. Southwell discusses how disparities in information-sharing arise and what can be done to alleviate them. In all sorts of ways and for all sorts of reasons, people have always sought to share information among their family and other social networks. However, this sharing has never been equal: inevitably, some people are better-informed than others and some are more socially-connected than others. At first glance, the plethora of communication tools and technologies available nowadays should help democratise information and reduce disparity but differences in how, when and
Probably among the first to deal with it, nearly sixty years ago, Norbert Wiener, the founding father of cybernetics (The human use of human beings. Cybernetics and Society, Houghton Mifflin Company, London, 1950), prefigured its opportunities, as well as its limitations. Today, it is a quite common belief. We have entered (are entering) a new, great era in the history of human society: the age of information and knowledge.