Computational Language and Media explores the use of digital methods to assemble, understand, critique, and expand collections of social and cultural data. What are the functions of these methods, and what are their possible uses? How can potential biases be mitigated? In this theme, we develop digital collections of cultural data that holds national significance, making these collections available to researchers, and create novel techniques for analysing and visualising them.
Research Activities
Collaboration with projects involving the Language Data Commons of Australia and Australian Text Analytics Platform.
DCS Projects
‘Studying the Development and Contestation of Discourses and Ideologies through Computational Approaches to Big Data on Online Platforms’ with Sam Hames.
'Civil society mapping for integrated action on sustainability and human rights in Qld: A pilot study' with Kiah Smith
'Fucking Twitter: a contrastive network and text analytic approach to curse word use in the Australian, British, and US American Twitterspheres' with Martin Schweinberger.
Engagement and Events
‘Machine translation and ChatGPT’, 2023. Public talk and panel discussion with Professor Martin Volk.
‘Data Science Education and Digital Society Symposium’, 2023. A one-day symposium featuring international speakers from Israel, Columbia, United States and Australia. Speakers drew on recent international research to explore how data science education is seeking ways to promote an equitable society. Hosted in partnership with Katie Makar (School of Education).