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The next speaker in this ICA 2024 conference session is Yanning Chen, whose interest is in how journalists’ perceptions of AI affect their adoption of such tools. This draws on a survey of some 455 Chinese journalists, which sought to identify the utility value that these journalists perceived for AI tools, as well as their personal preferences related to the utilisation of these tools.

This is also a matter of social projection, where people make judgments about the views about others who are similar to them; Chinese journalists, like journalists elsewhere, form a professional group cohort that is relatively homogenous …

The next speaker in this ICA 2024 conference session is Victoria Ertelthalner-Nikolaev; she notes that AI remains seen in a number of different ways by journalists, and attracts both positive and negative perceptions: it is seen as a valuable new tool, but also as something that could replace some journalistic jobs, and might affect the quality of journalistic converage. This is also affected by broader perceptions of AI in society, of course.

The present study examined these attitudes amongst journalists, to evaluate their sociology-technical imaginaries for these new technologies. Such imaginaries are often dichotomous, and the choice between positive and …

The next presenter in this ICA 2024 conference session is Brian So, whose interest is in how Bloomberg is using automated reporting to cover the financial results of Hong Kong-listed companies. Automated reporting has long been seen as supporting especially sports, financial, and weather reporting, since reporting there tends to follow very formalised patterns.

Financial news is numbers-intensive, requires utmost accuracy, and highly repetitive, with earnings reports and regular updates put out by companies. News organisations tend to claim that their use of automated tools is not meant to replace journalists altogether, but to expand the scope of formalised coverage …

And the final speaker in this ICA 2024 conference session is Ahmed Al-Rawi, who is interested in assessing the automated visual analysis of news and social media images. His study draws on the GDELT dataset of news content metadata from around the world, which (using the Google Vision API) also OCRs, labels, and detects logos in broadcast TV content. He extracted some 813,000 news items from the GDELT CloudVision dataset, and from this drew some 10,000 items addressing mis- and disinformation. He extracted similar data from the Google AI TV Explorer dataset.

Separately, he took 12,000 images addressing racism from …

The fourth speaker in this ICA 2024 conference session is Ao Wu, presenting a moral spectrum analysis of the ‘carbon’ issue in the Global News Database. There is plenty of transnational communication about climate change-related issues, including the push for carbon neutrality, but the interests and positions of different countries vary widely, and exhibit complex value logics that might be analysed through moral foundation theory. This theory introduces five dimensions: care/harm, fairness/cheating, loyalty/betrayal, authority/subversion, and sanctity/degradation. For environmental issues, these might be integrated into three broader categories: pragmatism/idealism, responsibility/profit, innovation/conservation.

These might be analysed especially in constructive journalism content that …

The next speaker in this ICA 2024 conference session is Sujin Choi, presenting a stochastic actor-oriented modelling of shared-issue networks and personal news curation behaviours. The focus here is especially on issue publics, which pay particular attention to specific issues; this reflects the attention economy. But how do such issue publics come to be?

Issue publics might come to be because individuals have similar underlying interests; because they are unaware of other issues; or because of a manual filtering process. Such processes will be affected by their attention to issues (the monadic level); their awareness of other issues (the dyadic …

The next speaker in this ICA 2024 conference session is Harry Yan, whose begins by noting the increase of animosity and affective polarisation against opposing parties in the United States. What role do mass media play in this context? We already know that greater Internet use in itself is not to blame here: this has been shown by a range of studies already. More complex explanations need to be found.

The present study is interested in understanding active and interactive audiences through agent-based modelling – in doing so, this also moves beyond assumptions of passive mass media audiences in past …

The Monday morning session at the ICA 2024 conference begins with Jakob Bæk Kristensen, presenting a study on cross-platform alternative news sharing. Cross-platform studies are highly necessary, but still remain rare: even if many platforms are designed to keep users on-platform, users themselves often act and share content across platforms – but it is difficult to trace those practices across multiple platforms. To do so, however, also would enable us to better understand the cross-platform network of single-platform publics, and thereby the broader media ecosystem.

Information sharing ecosystems can be defined in various ways; here, they are defined by a …

The final speaker in this ICA 2024 conference session is Megan Brown, whose focus is on the impact of the closure of the Twitter API on public-interest research. The discontinuation of Twitter’s Academic API was announced in February 2023, and remaining APIs are priced exorbitantly and outside the reach of publicly-funded researchers; this has severely affected any further research on the platform.

Twitter research had been growing steadily since its inception, and was researched more than its use amongst ordinary users perhaps warranted. The present study explored the consequences of the API closure through a survey of social media scholars …