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'Big Data'

The APIcalyse: What Can Researchers Do?

My own keynote closes the first day of the iCS Symposium “Locked out of Social Platforms: An iCS Symposium on Challenges to Studying Disinformation”. Here are the slides:


Big Data before Big Data

The third speaker in this AoIR 2018 session is Harsh Taneja, who promises to present an alternative history of big data. At present, many big data datasets are highly platform-specific, such data can generally be accessed via platform APIs or scraped from platform Websites. But big data research existed before the Internet: Harsh points here to the early days of advertising-supported broadcasting, when advertisers first required audience measurements.

Combining Digital Trace Data and Social Science Data

The next speaker in our AoIR 2018 session is Ericka Menchen-Trevino, whose research interest is on the study of selective exposure; this is often studied through surveys or lab experiments, but can be usefully complemented with Web history data. Such an integration between conventional social science data and digital trace data provides a blueprint for new possibilities across a range of research interests, in fact.

The People’s Internet Project and Its Struggle with Big Data

I’ve spent the morning in an AoIR Executive meeting, but I’m back for the second session on this Friday morning at AoIR 2018 – and I also have a paper in this session. First off is Rasmus Helles, though, who presents the People’s Internet Project: a major global study, supported by the Carlsberg Foundation, that seeks to map out global variations in Internet development.

The Affective Politics of Information Warfare

The next speaker in this AoIR 2018 session is Megan Boler, who continues our focus on algorithms. She begins by noting a concern about the affective politics of information warfare, as well as about the increasing targetting of emotions through social media activity.

Towards Indigenous Understandings of Artificial Intelligence

Well, we’re finally here: AoIR 2018 in Montréal has begun. We start with the keynote by Jason Lewis, who addresses the continuing rise of white supremacy in recent years. He begins by referencing the novel Riding the Trail of Tears, which discusses a retracing of the removal of the Cherokee from their traditional lands through virtual technology, and the possibility of Indigeneity in a digital earth.

But such a perspective clashes with white supremacy, which is well established in societal power structures even without further action to entrench it more deeply. Jason compares this with the multi-layer hardware and software stack that digital interfaces operate on; we are subject to the regimes that the stack places upon us and have no meaningful way to escape them. In much the same way, white biases are a feature, not a bug of contemporary society at every level; in software, biases beget biases because new data and new systems are built on old data and old systems, and perpetuate their built-in assumptions, and the same is true in societal protocols. This is a millennia-long process or epistemological inertia.

The Spider’s Web of Third-Party Web Applications

The next speaker at Social Media & Society 2018 is Aske Kammer. He begins by noting that there is a resource exchange between media organisations and third party platforms like Facebook and Twitter. By embedding social media sharing tools or topical advertisements on their own pages, media organisations provide a window for third-party data capture in exchange for the platforms’ services.

Positioning Computational Research as an Ongoing Process

The next presentation in this ICA 2018 session is by Drew Margolin, who highlights the growing use of computational methods in communication, and therefore the need to further scrutinise the methods that are popular here. Truth is revealed and reviewed through a succession of studies.

New Approaches to Automated Image Analysis

The next speaker at ICA 2018 is Theo Araujo, whose focus is especially on analysing image content from social media. There are a number of API solutions now becoming available for the analysis of such images, including from Google and Microsoft. The project tested such image analysis tools in the context of the visual self-representation of companies discussing their corporate social responsibility.

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