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'Big Data'

Coverage and Sourcing Practices for Data Security Issues in Spiegel Online

The next speakers in this IAMCR 2019 session are Gerret von Nordheim and Florian Meissner, whose focus is on the media reporting of digital technology. Such reporting has largely remained dominated by corporate voices, and a previous study has examined how Germany’s Süddeutsche Zeitung has covered tech issues over time.

New Developments in Data Ontologies

The next speaker in this IAMCR 2019 session is Andrew Iliadis, whose focus is on the role of metadata. Metadata and related terms such as ontology have rocketed to broader attention in recent years; here, philosophical concepts related to ontology have come to be translated to computationally accessible relationship constructs between data entities.

The Challenges in the Varying Visibilities of Social Media Data

The post-lunch session at the 2019 AoIR Flashpoint Symposium starts with Christina Neumayer and Luca Rossi, who are interested in invisibilities in social media data. For instance, studying protest movements through social media means studying only what is visible about these movements in specific social media platforms – the data must exist in the various technological layers of these platforms in the first place, and those layers significantly constrict what data are available to the researcher. Additionally, such data must also be perceived as meaningful; this requires a shared understanding in the scholarly community that such data can be used to examine a particular phenomenon.

Echo Chambers, Filter Bubbles, Gatewatching: Some Presentations on Recent and Upcoming Books

As a conclusion to my brief trip to Germany this April, I had the opportunity to present some of my current work to the newly established Center for Advanced Internet Studies, a collaborative institution involving several of the leading universities in North Rhine-Westphalia. I used this as a chance to present the general argument of my recent book Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere (Peter Lang, 2018), as well as the key ideas of a new book, Are Filter Bubbles Real?, which is slated for release by Polity in July 2019.

The latter also picks up on some of the themes emerging from the Gatewatching book, and acts as something of a companion to it; the question of whether echo chambers and filter bubbles exist emerged as an increasingly pressing issue when considering the scholarship on journalism and its translation to social media, of course, but much of the extant scholarship on these deeply problematic concepts remains all too vague and confused to be useful.

The slides for the two presentations are below – for more, please see the respective books!

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.

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