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
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.