Network studies are fashionable today, both in the sciences and in the humanities, witness the ever-increasing research grants, books, articles, and calls for papers about knowledge exchange that circulate globally. Scientists working in artificial intelligence, engineering, statistics, and computational linguistics have been doing network analysis for a long time.
It is generally assumed that the digital revolution will spell the end for print journalism. Newspaper sales are in terminal decline as an increasing number of readers turn to websites, smartphones, and social media for their news and entertainment. However, while the internet may eventually kill off modern-day newspapers, it has managed to breathe new life into their ancestors.
‘Artificial intelligence (AI)’ is a loaded term, rife with connotative contradiction that inspires debate, disagreement, and disillusion. But what is AI, really? How have our expectations of computational capability, and even a robot Armageddon, come to be? Why does it matter how we talk about increasingly sophisticated technology, not just in expository prose, but also in fiction?