'Big Data'

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.

Kate’s work is interested centrally in the structure of texts, and dependency parsing is a useful tool for this – but such analytical frameworks also substantially complicate the analysis: dependency parsing can show up some 40 or more relationships between words …

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.

Deliberative public communication research tends to remain strongly influenced by Habermasian normativity, but this is not necessarily very productive. It ignores the right of participants not to be deliberative, and therefore fails to fully understand the phenomenon of dissonant public spheres, or the cumulative nature of public discussion. We need to better understand how opinions accumulate online.

Big data approaches are central …

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.

The far right is an umbrella term for the radical and extreme right, and the emergence of far-right digital ecosystems has been widely recognised. Common to this ecosystem is an anti-system …

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 …

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 …

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.

Such work is important because of the increase in media fragmentation and the growing importance of social media especially during times of crisis; but data access has been declining markedly …

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 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 …