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'Big Data'

Towards Better Uses of News Engagement Analytics in Nordic Newsrooms

I am presenting our research on the in the Australian Facebook news ban in the post-lunch session at ECREA 2024 this Friday, but we start with a paper by Visa Noronen which examines news organisations’ attempts to understand their audiences in the current media context. This is important for determining editorial direction, and the present study examines such processes for the Nordic countries.

Combining Semiotics and Natural Language Processing for the Study of Communicative Phenomena

The final speaker in this final Social Media & Society 2024 session is my QUT colleague Kate O’Connor Farfan, whose interest is in the use of semiotics in combination with Natural Language Processing (NLP) for the study of polarisation. NLP comes with a very diverse range of applications, variously examining superficial and structural aspects at differing levels of complexity.

Methods for Understanding Cumulative Public Opinion Formation in Social Media

The next session at IAMCR 2024 starts with Svetlana Bodrunova, who introduces a methodological focus in the study of topic evolution in user talk on social media platforms. Key to this is the use of artificial intelligence tools.

Changing Patterns in Anti-Systemic and Far-Right Messaging in German, Danish, and Swedish Social Media Posts during COVID-19

And the final speaker in this last session at the P³: Power, Propaganda, Polarisation ICA 2024 postconference is Frederik Henriksen, with a paper on the transformation of the digital far right as a result of the COVID-19 pandemic. From a focus on anti-immigration arguments it moved towards an anti-establishment angle; it also transformed and coordinated organisationally; and found new topics especially in anti-vaccination discourse as a widely popular topic.

New Methods for Understanding Structural Network Polarisation and Affective Polarisation in Social Media

The keynote speaker on this section day of the P³: Power, Propaganda, Polarisation ICA 2024 postconference is the wonderful Annie Waldherr from the University of Vienna, whose focus is on the use of online visual content for connective action and communication, especially also in the context of conflict. How do strategic actors and activists use visual communication, what narratives do they promote, how do audiences engage with this, and how do such narratives spread on social media as a result?

Annie’s work focusses on climate narratives in Austria and Germany, in particular, but the broader team also covers a wider transnational picture in Europe; it examines the production, pictures, publics, and propagation of climate change-related narratives across platforms. Key platforms here include Facebook, YouTube, Twitter, and TikTok, and a key interest is in concepts related to interactional, positional, and affective polarisation amongst the users who engage with relevant (visual) content.

Using Screen Captures in Digital Media User Research

The next speaker in this session at the P³: Power, Propaganda, Polarisation ICA 2024 postconference is Andrew Fitzgerald, whose interest is in the use of longitudinal mobile screenshot data in research. This is another response to the emerging challenges in doing research on the power of platforms – platform infrastructures continue to change in their interface design and affordances, algorithmic curation affects what actual content users encounter, access approaches to platform data keep evolving, and new platforms emerge all the time. This means that we need independent data collection methods, beyond what the platforms themselves do or do not provide, that can cope with all of these issues.

A Framework for Data Donations from YouTube Users

The second day of our P³: Power, Propaganda, Polarisation ICA 2024 postconference focusses on research methods, and starts with a presentation by the excellent Jessica Gabriele Walter. Her focus is on YouTube data donations. Conventional social media data access has been via platform APIs and third-party platform initiatives like Social Science One; an alternative to this are user-centric approaches like browser tracking or data donation, which is growing in prominence.

Exploring Automated Visual Analysis Tools

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.

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