ARC Centre of Excellence for Automated Decision-Making and Society. The ARC CoE for Automated Decision-Making and Society aims to create the knowledge and strategies necessary for responsible, ethical, and inclusive automated decision-making (ADM). ADM applies new technologies from machine learning to blockchains across a wide range of social sectors; it carries great potential and risks serious failures. The Centre combines social and technological disciplines in an international industry, rese ....ARC Centre of Excellence for Automated Decision-Making and Society. The ARC CoE for Automated Decision-Making and Society aims to create the knowledge and strategies necessary for responsible, ethical, and inclusive automated decision-making (ADM). ADM applies new technologies from machine learning to blockchains across a wide range of social sectors; it carries great potential and risks serious failures. The Centre combines social and technological disciplines in an international industry, research and civil society network. It will formulate world-leading policy and practice; inform public debate; and train a new generation of researchers and practitioners. Expected benefits include reduced risks and improved outcomes in the priority domains of news and media, transport, social services and health.Read moreRead less
Addressing Misinformation with Media Literacy through Cultural Institutions. Misinformation can harm democratic processes, social cohesion and public health outcomes. Media literacy prepares citizens for misinformation by developing critical analysis abilities. This project partners with Australian public cultural institutions to increase adult media literacy. Through an action-based, mixed methods approach, the project investigates adults’ experiences with online misinformation and assesses the ....Addressing Misinformation with Media Literacy through Cultural Institutions. Misinformation can harm democratic processes, social cohesion and public health outcomes. Media literacy prepares citizens for misinformation by developing critical analysis abilities. This project partners with Australian public cultural institutions to increase adult media literacy. Through an action-based, mixed methods approach, the project investigates adults’ experiences with online misinformation and assesses their ability to identify and challenge it. Research findings will inform the design and evaluation of targeted evidence-based media literacy training and resources that will be shared across broadcast media, physical spaces and online. Through these initiatives Australians will be better equipped to combat misinformation.Read moreRead less
Evaluating the Challenge of ‘Fake News’ and Other Malinformation. Encompassed by the disputed term ‘fake news’, overtly or covertly biased, skewed, or falsified reports claiming to present factual information present a critical challenge to the effective dissemination of news and information across society. This project conducts a systematic, large-scale, mixed-methods analysis of empirical evidence on the dissemination of, engagement with, and impact of ‘fake news’ and other malinformation in p ....Evaluating the Challenge of ‘Fake News’ and Other Malinformation. Encompassed by the disputed term ‘fake news’, overtly or covertly biased, skewed, or falsified reports claiming to present factual information present a critical challenge to the effective dissemination of news and information across society. This project conducts a systematic, large-scale, mixed-methods analysis of empirical evidence on the dissemination of, engagement with, and impact of ‘fake news’ and other malinformation in public debate, in Australia and beyond. It takes a triangulated approach, combining computational big data analytics with deep forensic analysis, to reveal the complex ‘fake news’ ecosystem, replace 'fake news' with more precise terminology, and provide recommendations for policy responses based on robust evidence.Read moreRead less
Using machine vision to explore Instagram’s everyday promotional cultures. The advertising-driven business models of social media platforms increasingly depend on automation. The technologies used by platforms are rapidly advancing, and include ‘machine vision’ systems that automatically classify faces, expressions, objects, and brand logos in images. The results are used to provide targeted content to users, often without their knowledge and without sufficient public oversight. Using a novel co ....Using machine vision to explore Instagram’s everyday promotional cultures. The advertising-driven business models of social media platforms increasingly depend on automation. The technologies used by platforms are rapidly advancing, and include ‘machine vision’ systems that automatically classify faces, expressions, objects, and brand logos in images. The results are used to provide targeted content to users, often without their knowledge and without sufficient public oversight. Using a novel combination of computational and cultural research methods, this project aims to: examine how machine vision works in platforms like Instagram; explore its role in everyday visual contexts through qualitative case studies of festivals, food, and lifestyle sports; and improve public understanding of machine vision systems.Read moreRead less
Young Australians and the promotion of alcohol on social media. This project aims to determine how young people engage with alcohol and nightlife marketing on social media platforms like Facebook, Instagram, and Snapchat. Companies now leverage the power of social media to create advertisements that are made and shared by young people, targeted to them in particular times, places and contexts, and are thus difficult to monitor and regulate. The project will use computational, big social data app ....Young Australians and the promotion of alcohol on social media. This project aims to determine how young people engage with alcohol and nightlife marketing on social media platforms like Facebook, Instagram, and Snapchat. Companies now leverage the power of social media to create advertisements that are made and shared by young people, targeted to them in particular times, places and contexts, and are thus difficult to monitor and regulate. The project will use computational, big social data approaches and youth informants to assess the pervasiveness of branding on social media and how it shapes youth cultures. This work will extend media and cultural studies and support the development of effective monitoring and regulation of online marketing in general, with a particular focus on alcohol.Read moreRead less