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.
Luke Blaxill’s book deserves to be seminal. Its unassuming title conceals a bracing methodological challenge: an argument for the application of specific digital techniques to the study of electoral politics.
‘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?