This article provides an overview of the ways in which data and text mining have potentialas research methodologies in composition studies. It introduces data mining in thecontext of the field of composition studies and discusses ways in which this methodologycan complement and extend our existing research practices by blending the best of whattechnology and researchers have to offer. The authors examine a process model for datamining, discuss benefits and liabilities, and link to increased calls for accountability.

This article traces the influences of hypertext theory throughout the various genres of online publication in technical communication. It begins with a look back at some of the important concepts and theorists writing about hypertext theory from the post-World War II era, to the early years of the World Wide Web 2.0, and the very differing notions of its potential. A significant challenge during this formative period was the fact that limitations in technology and infrastructure placed limitations on the potential envisioned by these scholars. The ways in which we look at early scholarship differ even a decade or more later, in terms of some of the information technologies and tools we use today. In the Web 2.0 era, we see a trend of blending and extension beyond principles found within hypertext theory in the tools we use and user experiences we create with them.