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Addressing the Need to Govern New XR Technologies

The final speaker in this AANZCA 2024 conference session is Joanne Gray, whose focus is on trends in Big Tech, with a particular focus on virtual reality (including Mark Zuckerberg’s metaverse and Apple’s Vision Pro, but also many more mature projects in augmented reality and immersive technology). Much of this has been described as extended reality, or XR, and policy to govern this is gradually emerging.

The Complicated Influences Affecting Contemporary Internet Governance

The next session at the AANZCA 2024 conference starts with a paper by Terry Flew, Agata Stepnik, and Tim Koskie, who begin by noting the changing contours of Internet governance. There is increasing nation-state regulation in liberal democracies as well as authoritarian states, as well as renewed debate about the treatment of digital and social media platforms and a populist push towards greater regulation.

Co-Designing an Indigenous Insights Platform

The final speaker in this AANZCA 2024 conference session is my QUT colleague Bernadette Hyland-Wood, whose interest is in the co-design of an Indigenous client-centric, community-focussed project. This builds on her background in advocacy and development for open data sharing initiatives.

Understanding the Spatial and Temporal Logics of Gig Work in Food Delivery Apps

The final speaker in this AANZCA 2024 conference session is Kyle Moore, whose focus is on food delivery apps. These serve as an example of the gig economy, which enables irregular work structures and task-based activities by workers who usually provide all of their own equipment for their tasks. The workers themselves are also one category of app users, in fact, and exist in a liminal legal state between employees and freelancers.

Assessing Media Concentration in the New Network Media Economy

The final AANZCA 2024 conference session for today is one I’m also presenting in, but we start with a paper Terry Flew and Cameron McTernan. Terry starts by noting that Australia has long had one of the most concentrated media systems in the world. The Global Media and Internet Concentration Project (GMICP) is a new initiative to further explore such concentration patterns here and abroad, and trace their dynamics over time.

LLMs in Content Coding: The 'Expertise Paradox' and Other Challenges

And the final speaker in this final AoIR 2024 conference session is the excellent Fabio Giglietto, whose focus is on coding Italian news data using Large Language Models. This worked with some 85,000 news articles shared on Facebook during the 2018 and 2022 Italian elections, and first classified such URLs as political or non-political; it then produced and clustered text embeddings for these articles, and used GPT-4-turbo to classify the dominant topics in these clusters.

LLMs and Transformer Models in News Content Coding

The next speaker in this final AoIR 2024 conference session is the great Hendrik Meyer, whose interest is in detecting stances in climate change coverage. This focusses especially on climate change debates in German news media, focussing on climate protests, discussions about speed limits, and discussions about heating and heat pump regulations.

Towards an LLM-Enhanced Pipeline for Better Stance Detection in News Content

The next speaker in this session at the AoIR 2024 conference is my QUT colleague Tariq Choucair, whose focus is especially on the use of LLMs in stance detection in news content. A stance is a public act by a social actors, achieved dialogically through communication, which evaluates objects, positions the self and other subjects, and aligns with other subjects within a sociocultural field.

Using LLMs to Code Problematic Content in the Brazilian Manosphere

The second speaker in this final session at the AoIR 2024 conference is Bruna Silveira de Oliveira, whose focus is on using LLMs to study content in the Brazilian manosphere. Extremist groups in this space seek legitimisation, and the question here is whether LLMs can be used productively to analyse their posts.

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