Journalism

Up next in this AANZCA 2024 conference session is Agata Stepnik, whose interest is in stakeholder perspectives on the sustainability of commercial and publicly-funded news production in Australia. Her project is engaging in interviews with stakeholder groups – publishers, policy-makers, journalists, advertisers, and platform operators – and explores how they have conceptualised news media’s digital transformation since the emergence of Web publishing in the 1990s, and what futures for news production they envisage.

Across all these interviews there was a strong recognition of the social and institutional value of news to democracy; however, news was also strongly positioned as a …

The first paper session I’m attending at the AANZCA 2024 conference is a panel on democracy in crisis, and starts with my QUT colleague Stephen Harrington. His focus is on ‘dark political communication’, as a way of moving past the overemphasis on mis- and disinformation and recognising that such practices are just one part of a much broader range of communicative dysfunctions in contemporary political systems.

This then also incorporates a greater focus on recent changes in political PR: political PR has been a growing focus in the study of politics in recent decades, with attention paid to its arrangements …

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 …

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 …