Comedy Of Computation

The Comedy of Computation

In this cultural history of the computer, Benjamin Mangrum shows that comedy has been central to how we've made sense of the technology's sweeping effects on public life and private experience. From the first Broadway play to include a computer in the 1950s to popular films like You've Got Mail and joke-telling digital assistants, Mangrum assembles an extensive archive of work by writers, filmmakers, programmers, engineers, and other technologists who have coupled comedy with computation. Many have used comedy to make the computer seem ordinary. Others have tried to stage the assimilation of computers within corporate life as a kind of comic drama. Mangrum describes these and many other ways in which comedy and computation have come together as a new genre of experience: the comedy of computation. The modern world exalts advances in technology, but we are constantly haunted by the specter of falling behind and becoming obsolete. Mangrum examines how comedy serves as a stage for working out these conflicted modes of experience in writing by Dave Eggers, Curtis Sittenfeld, Ishmael Reed, and Kurt Vonnegut Jr., among others, arguing that when we look at the comic forms that shape the cultures of computing, we come to better understand the tensions and contradictions internal to the social world we inhabit.

COMEDY OF COMPUTATION

Computational Drama Analysis

Dramatic texts come with a natural structure of acts, scenes and speech clearly assigned to characters that lends itself to computational analysis: These explicit structures allow for straightforward formalizations without extensive preparatory work. Work on drama has therefore always been at the forefront of research in computational literary studies, with its pioneers analyzing drama quantitatively long before the digital age. Today, increasingly large digital text corpora are available and computational literary studies aims at a higher-scaled view on literary history, promising to analyze thousands of literary texts simultaneously. After decades of exploring the possibilities offered by computational methods, the field is now undergoing a phase of consolidation that takes stock of achievements and opportunities and critically reflects the computational methods and interpretations derived from data. Building on insights from the fields' tradition and current research approaches, this volume provides an overview of the status quo of computational drama analysis and explores possible routes for the future.