Processing (Feminist Digital Methods in the Humanities)

This volume is a collection of essays in which digital methodologies can engage directly with intersectional feminist scholarship. The sheer volume of data available online (primary and secondary source material, social, political, environmental, personal, etc) offers the opportunity to investigate previously inaccessible or otherwise understudied research topics. Recognizing that the web and material that has been digitized to date is biased towards white, middle-to-upper class men, the contributors explore how digital research, broadly conceived, makes room for alternative methods and approaches and opens the conversation to new voices.

The true promise of digital methods is being able to tell stories that were previously understudied or otherwise ignored on the basis of class, race, gender, etc. Choices of language, data, platform, and variables reveal researchers’ biases and experiences. By sharing stories about the way they choose to do their work, the contributors to this book can offer a more robustly intersectional approach to data-driven humanities research. They foreground method as our unifying theme, seeking discussions of how methodological choices impact the ways of producing meaning.