DMRC Fridays Seminar Series 2019 – July 12

Photo by Franki Chamaki on Unsplash


The second of our DMRC Fridays seminars for 2019 will take place on Friday July 12th from 1-3pm in Z9 607 (Kelvin Grove Campus). We hope as many of you as possible will be able to come along.

Playing with machines: Using machine learning to understand automated copyright enforcement at scale

We present the results of a study that utilises machine learning to investigate automated copyright enforcement on YouTube. Using a dataset of 76.7 million YouTube videos, we explore how digital and computational methods can be leveraged to better understand content moderation and copyright enforcement at a large scale. We provide a large-scale systematic analysis of removals rates from Content ID’s automated detection system and the largely-automated, text search based, DMCA notice and takedown system. These are complex systems that are often difficult to analyse, and YouTube only makes available data at high levels of abstraction. Our analysis provides a comparison of different types of automation in content moderation, and we show how these different systems play out across different categories of content. We hope that this work provides a methodological base for continued experimentation with the use of digital and computational methods to enable large-scale analysis of the operation of automated systems.

Nicolas Suzor is an Associate Professor at QUT School of Law specialising in the regulation of digital technologies.

Joanne Gray is a Lecturer in the Creative Industries Faculty at QUT specialising in the regulation of digital media environments.

Digital Inoculations: Treatments of Vaccination Controversies in Popular Science Podcasts

Since the medium’s emergence as a vehicle for the creation and dissemination of edutainment, podcasting has held increasing appeal for science communicators attracting even the attention and participation of ‘celebrity scientists’ Brian Cox and Neil deGrasse Tyson. Podcasts provide a useful tool for combating issues that have not been resolved by traditional science communication methods. Using vaccination controversies as a case study, this paper examines how existing science podcasts approach the vexing phenomena of vaccine hesitancy. The analysis reveals some of the possibilities and problems present in science podcasting.

Steven Gil is founding editor of the Journal of Science & Popular Culture. For the past ten years he has undertaken research on the cultural history of science. He is an Industry Fellow at QUT’s School of Communication where he is developing a new science podcast. His publications include Science Wars through the Stargate (Rowman & Littlefield, 2015) as well as numerous articles and chapters.

The Unity Game Engine and the Circuits of Cultural Software

The Unity game engine is a software development tool that enables real-time interactive digital content — primarily videogames — to be created. Game engines are often conceptualised as ‘actors’ that coordinate disciplinary conflict within studio environments. Drawing on interviews with approximately 175 Australian videogame developers, students, and educators, and building on research from a forthcoming co-authored book (Palgrave, 2019), we argue that game engines such as Unity are better understood as ‘cultural software’, and that in order to understand their mediations, we need to look at how they enrol users in ‘circuits of cultural software’.

Benjamin Nicoll is a Lecturer in Digital Media and Communication and a member of the DMRC at QUT.

Brendan Keogh is a DECRA fellow and member of the DMRC at QUT.

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