The next session at the ICA 2024 conference that I’m attending is presenting articles accepted for a special issue of Political Communication
, and starts with Ryan Moore. Past research has explored the impact of social media on access to mis- and disinformation sources, but remains somewhat inconclusive or very context- and platform-specific. Some of this is drawing on self-reporting; some on browsing data (where it usually focusses on direct referrals from social media platforms); a more indirect link has yet to be explored in full.
Here, social media posts may lead people to other places online that then lead …
And the final speaker in this ICA 2024 conference session is the great Helena Rauxloh, exploring how conspiracy ideation explains general news consumption. This is part of the POLTRACK project led by Lisa Merten.
Engagement with news and current affairs has a very important democratic function, but engagement with niche and alternative media especially on the far right also exposes users to content that differs markedly from mainstream news content in style, editorial practices, business models, and strategic aims, while there are also considerable differences in approaches within such right-wing alternative media. Engagement with such media might especially also relate …
The third speaker in this ICA 2024 conference session is Claire Wonjeong Jo, whose focus is on the effects of cross-cutting exposure – these are seen as including both a better-informed citizenry and greater attitude and affective polarisation, and/or no effects at all. Past research draws largely on survey data, and measure a range of attributes; but perhaps there is a way to observe the actual news use behaviours of participants that provides more direct empirical data.
This study compares such data for South Korea and the United States; it applies social judgment theory, expectation violation theory (which suggests that …
The next speaker in this ICA 2024 conference session is Antonis Kalogeropoulos, whose focus is on news avoidance practices in the context of recent elections in Greece and Brazil. Such News avoidance is often seen as negative for democracy, as it reduces users’ access to information; however, it may be consistent or occasional, with a focus on general news content, or selectively focussing only on specific news content or content types.
How different are these conceptualisation? What are their possible implications for democratic outcomes? In spite of the considerable differences between their political systems, both Greece and Brazil had two …
The next ICA 2024 conference session starts with Haodong Liu, whose interest is in reinforcing spirals of media selectivity. There are various approaches to media selection, and the reinforcing spirals model suggests that over time suggests that selective media use reinforces users’ beliefs, attitudes, and behaviours.
This may involve selective exposure (choosing attitude-consonant media content) as well as defensive avoidance (selectively filtering out attitude-challenging sources and information) – and these are not necessarily inherently connected as a zero-sum game. The present study applies this to the coverage of climate change, where conservative media that challenge the accepted science on climate …
And the final speaker in this session at the ICA 2024 conference is the wonderful T.J. Thomson, who has explored the use of AI in newsrooms for the past few years in a number of contexts. His present study interviewed journalists at major news outlets in five European countries and Australia, to explore the use of generative visual AI in news production as well as the policies and principles surrounding it.
Key challenges that the (predominantly visually focussed) journalists identified here included the use of AI-generated images to mislead and deceive audiences (for instance in the current war in Gaza) …
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 …
