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'Big Data'

Towards Data Justice in a Datafied Society

The second keynote speaker in this opening evening at ECREA 2018 is Lina Dencik, whose keynote at last weekend’s iCS Symposium I covered a few days ago; here, her focus is on resistance in the datafied society. Such resistance is important in the present moment, and scholars have an increasingly important and more and more politicised role in this context.

There has been an overall, ongoing shift towards data-driven governance in recent years, leading to the emergence of a genuinely – but far from universally beneficially – datafied society. We have already seen a long history of digital surveillance, exemplified not least in the Snowden leaks, and this is represented in policy, news coverage, and general public understanding. This complicates our positioning as digital citizens and colours our understanding of the datafied society; it has revealed big data and surveillance capitalism as a form of governance, and normalised data collection and surveillance culture in our everyday lives.

Towards Better Frameworks for Social Media Data Archiving

The final keynote speaker at this iCS Symposium today is the wonderful Katrin Weller, whose focus is on what we do with social media research data: datasets that have been collected by researchers and have already been utilised in scholarly analysis. How are such datasets shared on and archived by these researchers? Sharing here means directly passing these datasets on for use by others, while archiving preserves them for potential future uses. Both practices potentially advance reproducibility and comparability, reduce digital divides in data accessibility between researchers and research groups, and save time and money in data collection; they are also increasingly important as the platforms lock down access to their data.

Researchers frequently lament the general absence of established data sharing and archiving protocols. These remain underdeveloped in part because of the ethical and legal challenges inherent in sharing datasets; the problems in establishing clearly defined and described archives for social media data, in the absence of universally accepted standards; the lack of search functionality for archived datasets; the diversity of the social media datasets collected using different methods and from various, continuously evolving platforms; and in some cases even a lack of motivation for researchers to share their data.

Principles for Scholarly Collaboration with Political Marketing Companies

The next speakers in this iCS Symposium are Anamaria Dutceac Segesten and Michael Bossetta, who describes the decline of API access as a possible blessing in disguise, as it forces us to explore new and additional sources of data on online communication. One approach to doing this is to pursue academic partnerships with commercial enterprises – for instance, with news publishers or civil society organisations.

Understanding the Datafied Society by Decentring Data

The second day at the iCS Symposium at IT University Copenhagen starts with a keynote by Lina Dencik. She explores the difficulties in researching the datafied society, building on several of the projects currently underway at the Data Justice Lab at Cardiff University. This work must involve researchers, but also civil society actors, practitioners, journalists, and others.

The datafied society represents an immensely fast-moving space; there are constant updates on development projects, company initiatives, government actions, data scandals, etc. As researchers, it is important to introduce a sense of slowness into this environment from time to time, in order to take a more considered and careful look at what is going on, yet the speed at which new data-driven technologies are being implemented across society, often without having been fully trialled and tested, makes this very difficult and gives a great deal of unchecked power to the companies providing these technologies.

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.

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