Artificial Intelligence

The final speaker in this ACSPRI 2024 conference session is Aaron Willcox, presenting work with the Scanlon Research Institute to explore local government-level civic opportunities. For organisations, such opportunities include hosting events, offering memberships, involving individuals through volunteering, and taking action through advocacy and campaigns.

The next speaker in this ACSPRI 2024 conference is Gia Bao Hoang, whose interest is in the use of LLMs for detecting efficient persuasion in online discourse. Such an understanding of effective persuasion could then be used for productive and prosocial purposes, or alternatively to identify problematic uses of persuasion by bad actors.

The next speaker in this ACSPRI 2024 conference session is Sair Buckle, whose interest is in the use of Large Language Models to detect bullying language in organisational contexts. Bullying is of course a major societal problem, including in companies, and presents a psychosocial hazard: there are several proposed approaches to address it, including surveys and interviews and manual linguistic classification (e.g. in federal parliament), which are subjective and manually intensive; pulse surveys and self-labelling questionnaires (e.g.

The first session at the ACSPRI 2024 conference is on generative AI, and starts with Lachlan Watson. He is interested in the use of AI assistance to analyse public policy submissions, here in the context of Animal Welfare Victoria’s draft cat management strategy. Feedback could be in the form of written submissions, surveys, or both, and needed to be analysed using quantitative approaches given the substantial volume of submission.

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.

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.

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.

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.

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.