Computational Approaches to Pacing and Style in Television Comedy
Co-sponsored by the Berkeley Institute for Data Science, the School of Information, and the Department of Scandinavian.
How do editing rhythms and dialogue pacing differ across television comedies from different national traditions? This talk draws on large-scale computational analysis to investigate formal variation, examining how production practices and narrative strategies intersect with industry changes and cultural contexts.
Speaker
Taylor Arnold
Taylor Arnold is a professor of data science and statistics at the University of Richmond, Virginia. His research applies and develops corpus-based techniques and software in order to study how messages are communicated through visual and multimodal forms. He is particularly interested in understanding the production and reception of messages transmitted through time-based media such as television and film. His research engages and collaborates with scholars from a variety of disciplines, including linguistics, statistics, epidemiology, information sciences, and media studies.
