Polarisation

The next speaker in this AANZCA 2024 conference session is Victoria Fielding, whose new book Media Inequality addresses the structural power inequalities experienced by marginalised groups in society as they are covered in the news. She notes that western democracies largely hold a liberal pluralist view of the news, where news frames compete in a marketplace of ideas and gradually trickle down to the public; this is too simplistic, however.

Instead, this contest of frames is affected by the master narratives that are seen as legitimate by the journalists covering public debates; such perspectives are also affected by the editorial …

The next speaker in this AANZCA 2024 conference session is my great QUT colleague Sebastian Svegaard, whose focus is on the Australian far-right news channel Sky News Australia, which he characterises here as a populist media channel. Populism is a current buzzword, but is also widely understood as a thin-centred ideology that can attach itself to various political values; it centrally pits ‘the people’ against ‘the elites’, but the term is perhaps most often used – problematically – to specifically describe ‘far-right’ populism.

Media have an ambiguous role in relation to populism: media are themselves criticised for being part …

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 …