Today, we’re beginning our series of DLS-resources with a very brief introduction of the Journal of Cultural Analytics (CA).
CA is an open-access journal dedicated to the computational study of culture. The journal currently features three sections: Articles reporting peer-reviewed new scholarship, Data Sets that facilitate cultural studies accompanied by discussions; and Debates offering interventions into current discussions surrounding the computational analysis of culture. The Clusters section provides an overview of the various themes or special issues addressed by the journal.
CA’s latest special issue is organized by the NovelTM research team. Its theme is “Identity.” Articles for this issue are posted successively, starting with the Introduction by Susan Brown and Laura Mandell and an article on The Transformation of Gender in English-Language Fiction by Ted Underwood, David Bamman, and Sabrina Lee.