Artificial Intelligence

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.

The final presenters in this session at the AoIR 2024 conference are Yarden Skop and Anna Schjøtt Hansen; their interests are in the third-party fact-checking network employed by Meta. This operates on the basis of a Meta-provided online dashboard that highlights potentially problematic content, and the dashboard’s operation directs fact-checking away from political content spread by major political figures, and towards other forms of content.

The next speaker in this AoIR 2024 conference session is Simran Agarwal, whose interest is in platformisation intermediaries in the Indian news industry. Her interest here is especially in the meso-layer of intermediaries, where AI-driven machine learning tools provide strategic counsel to newsrooms, broker interactions between platforms and publishers with the aim to ‘help’, ‘assist’, or ‘free’ journalists, and appear as certified partners.

The next speaker in this AoIR 2024 conference session is Nanna Bonde Thylstrup, who begins by noting the critical role of data annotation practices in shaping the machine learning process underlying generative AI; such annotation is a world-making practice, must align with editorial values and the journalistic ethos of objectivity, and can of course also reproduce pre-existing societal biases.

The next speaker in this AoIR 2024 conference session is Nadja Schaetz, whose interest is in AI hype in news coverage. Journalism has often uncritically covered the rise of generative AI, and swallowed the claims of AI companies about the capacities of their tools; this project collaborated with the Associated Press Local AI Initiative and conducted participant observation in local newsrooms to understand journalistic reactions to this initiative. Through the project AP worked with five newsrooms to provide AI-supported technologies.

I’m chairing the next session at this AoIR 2024 conference, which is on the intersections (or collision) between journalism and AI. We start with Sangeet Kumar, who notes the long history of complex interactions between digital media platforms and news publishers; news is just a type of content for platforms, while for news producers it is a mission and vocation. There is a substantial amount of traffic coming from digital search and social media platforms to journalistic sites, and therefore a substantial level of dependency.