Internet Technologies

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.

Workers are required to be online and available around peak usage times, then, and this leads to a kind of power chronography that relates to the temporal rhythms …

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. This ultimately examines the network media economy, including telecommunication and Internet infrastructure, online and traditional media services, and core Internet applications and sectors.

This integrated approach better reflects the …

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.

This required considerable prompt crafting, especially also to ensure that prompts remained within the LLM’s token limits. Key challenges here included the choice of LLM …

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.

Here stances might be better understood as evaluations related to a given issue or policy, and Large Language Models can be useful tools in assessing this, but this also requires considerable prompt crafting in order to generate consistent results. Computational costs for doing so (especially with complex prompts) …

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.

Here, the focus is broadly on stances towards issues, persons, groups, and organisations. There are some tools for doing so, but they mainly focus on English-language content, are designed for specific types of data, and tend …

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.

This analysis focusses on some 2,500 episodes of Brazilian masculinist podcasts across ten streaming platforms. It engaged in an assisted content analysis using OpenAI’s GPT-4 model, and explored whether this could identify detailed variables in the content. The podcast episodes were transcribed using automated tools, and 52 episodes …

The final (!) session at this wonderful AoIR 2024 conference is on content analysis, and starts with Ahrabhi Kathirgamalingam. Her interest is especially on questions of agreement and disagreement between content codings; the gold standard here has for a long time been intercoder reliability, but this tends to presume a single ground truth which may not exist in all coding contexts.

The concept of ‘constructs of marginalisation’ might be useful here: marginalised people are underrepresented; existing structural power defines who defines such constructs; they are historically and culturally shaped; and explicit as well as ambiguous and evasive language that discriminates …

I presented in and chaired the Saturday morning session at the AoIR 2024 conference, which was on polarisation in news publishing and engagement, so no liveblogging this time. However, here are the slides from the three presentations that our various teams and I were involved in.

We started with my QUT DMRC colleague Laura Vodden, who discussed our plans for manual and automated content coding of news content for indicators of polarisation, and especially highlighted the surprising difficulties in getting access to quality and comprehensive news content data:

I …

The next speaker in this AoIR 2024 conference session is Alexis de Coning, whose focus is on the men’s rights movement. Although a great deal more visible in recent years, it emerged to public visibility already in the 1960s and 1970s; but it is likely that early men’s rights ideas go back much further still. Alexis takes a very broad approach here to what defines the men’s rights movement – overall, it exists at the nexus of gender and labour rights and positions men as having greater social-economic and financial status that is exploited by parasitic women.

This is in …