Male authors are in general appreciated more than females, and Corina Koolen, working at the Huygens Institute, applies stylometry to make plausible that this greater appreciation is not based on obective elements of style or plot, but presumably rather on the prejudices of readers, critics and juries in literary prize competitions. I think that this is a new application of stylometry — even allowing for the work in author profiling, which concerns differences in style without attendingto the question of quality. Koolen also shows, for example, that genre influences the descriptions of men and women more than the gender of the author does.
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.