Book launch – The Palgrave Handbook of Digital Russia Studies

Join us on 22 October at the virtual book launch to celebrate the publication of The Palgrave Handbook of Digital Russia Studies!

Register here to receive the link for accessing the session that will take place on 22 October from 5 PM to 6:30 PM (Helsinki – UTC+3).

This groundbreaking Handbook, edited by DRS researchers Daria Gritsenko and Mariëlle Wijermars together with Mikhail Kopotev, presents a multidisciplinary perspective on how the ‘digital’ is simultaneously changing Russia and the research methods scholars use to study Russia. It provides a critical update on how Russian society, politics, economy, and culture are reconfigured in the context of ubiquitous connectivity and accounts for the political and societal responses to digitalization. In addition, it answers practical and methodological questions in handling Russian data and a wide array of digital methods.

32 chapters by 42 authors – published in open access thanks to the generous support of the University of Helsinki.

At the event, the editors are joined by several of the contributors who will introduce their chapters. During the Q&A, there will be plenty of opportunities to engage with the speakers, as well as to ask questions to other contributors joining us in the audience.

 

Programme

Welcome

  • Daria Gritsenko, University of Helsinki

Some historical remarks

  • Arto Mustajoki, University of Helsinki

Introduction to The Palgrave Handbook of Digital Russia Studies

  • Mariëlle Wijermars, Maastricht University

Run Runet Runaway: The Transformation of the Russian Internet as a Cultural-Historical Object

  • Gregory Asmolov, King’s College London

Doing Gender Online: Digital Spaces for Identity Politics

  • Olga Andreevskikh, University of Leeds & Marianna Muravyeva, University of Helsinki

Geospatial Data Analysis in Russia’s Geoweb

  • Mykola Makhortykh, University of Bern

Q&A with the editors and contributors to the Handbook

 

Reviews of the book:

‘This is the most comprehensive and timely book illuminating the impact of digitalization on all spheres of Russia’s social and cultural life.  Through the lens of this Handbook, contemporary Russia emerges in all its complexities and ambiguities.’

Lara Ryazanova-Clarke, University of Edinburgh, UK

‘A profoundly interdisciplinary resource that strikes the perfect balance between breadth and depth. Conceptually rich, analytical smart, and highly informative, the Handbook brings both students and scholars of Russia, Russian digital culture, and digital studies in general, critical insights into a newly emerging discipline.’

Michael S. Gorham, University of Florida, USA

New publication on automation in journalism

In a new article published in Russian professional journal Zhurnalist, Olga Dovbysh outlines three key insights from the current academic debate on news automation that are relevant for Russian newsrooms.

The article is available on the Zhurnalist website: ‘Автоматизированная журналистика глазами академических исследователей’

Olga Dovbysh is a postdoctoral researcher of the project ‘Towards Sustainable Journalism for the Algorithmic Future’, funded by the Helsingin Sanomat Foundation and lead by Mariëlle Wijermars.

CfP: Special issue ‘Algorithmic Governance in Context’

Special issue of New Media & Society

We invite paper proposals for a special issue in the journal New Media & Society that will interrogate the functions and effects of algorithms in contemporary governance. Contributing to the current academic debate, the special issue seeks to conceptualize the notion of context in algorithmic governance by, first, perceiving of algorithmic governance as an activity taking place in a variety of contexts and aiming at investigating these contexts in a systematic manner. Second, by focusing not only on how algorithms are used as tools for governance, but also on how such tools can be governed – controlled and held to account – and what challenges such forms of governance imply. The use of algorithms in society can imply a moving of contestable issues from negotiable to non-negotiable spaces, thereby reducing agency and influence of human actors. Active recontextualizations can become an important tool to problematize such and other consequences of algorithmic governance and reveal possible unintended implications and effects.

The special issue builds upon a series of workshops (2019-2020) facilitated by a networking grant from The Joint Committee for Nordic Research Councils in the Humanities and Social Sciences (NOS-HS) coordinated at the University of Helsinki, that focused on the multiplicity of contexts in which algorithmic systems operate. Drawing upon the conceptual work conducted during the workshops, the special issue focuses on two key themes: multiplying the contexts of algorithmic governance and governing algorithms in context.

Multiplying the contexts of algorithmic governance

Articles are invited that explore how specific conditions impact upon the efficacy and perceived legitimacy of algorithms as tools for governance. In particular, contributions may direct attention to the manifold everyday practices through which algorithmic governance is effectuated and investigate the legal, political, cultural, economic, and technological frames that predispose and tacitly guide these. Through this focus, it becomes clear that algorithmic governance is not only a deeply contextual activity, but also an activity carried out within the frames of a multiplicity of different and often competing contexts. Identifying exactly which contexts matter when, in which ways, and to whom becomes an important task for the planning of algorithmic forms of governance in and through autonomous machine learning systems. At the same time, active recontextualization enables problematizing and resisting algorithmic governance in cases where it is perceived as illegitimate or biased.

Governing algorithms in context

Articles are invited that focus on the fact that algorithms at once govern, and are themselves governed by, either human or non-human agents. The increased use of algorithms in all areas of life makes the question of how to understand and sufficiently control such governing algorithms a timely and salient area of critical inquiry. Issues such as the complexity and opacity of algorithmic assessment and feedback systems as well as their growing autonomy and pervasiveness are important areas of research dedicated to improving the governance of algorithms. Articles could, for example, aim at facilitating new technical solutions, at raising public awareness, at informing practices of decision-makers and funding bodies, as well as at critically assessing cultural and other responses to the governance of algorithms.

We welcome both disciplinary and interdisciplinary perspectives and studies employing various social scientific methods, including comparative case-studies, ethnography, socio-legal studies, design studies, and historical inquiry. We particularly encourage studies that challenge the status quo, either through innovative (mixed method) methodologies or critical reflections on the state of the art. Papers could address, but are not limited to, the following questions:

  • What are the different ‘realities’ constructed by the use of algorithms in governance? How do they play out across time and space?
  • How do individuals – in private or organisational contexts – make sense of and respond to algorithmic governance?
  • What are the similarities and differences in the deployment of algorithmic governance within public and private sectors?
  • What are the challenges of developing effective strategies for governing algorithms at the intersection of law and technology?
  • How can different publics be made aware of ‘algorithmic bads’, while still benefiting from ‘algorithmic goods’?

In sum, papers can either systematically tackle the contexts of algorithmic governance or investigate the governance of algorithms, identifying challenges that emerge in different governance contexts.

Guest editors:

Daria Gritsenko, Assistant Professor in Russian Big Data Methodology, University of Helsinki. daria.gritsenko@helsinki.fi

Annette Markham, Professor of Media & Communication, Digital Ethnography Research Centre, RMIT, Melbourne. amarkham@gmail.com

Holger Pötzsch, Professor of Media- and Documentation Studies, UiT – The Arctic University of Norway. holger.potzsch@uit.no

Mariëlle Wijermars, Assistant Professor in Cyber-Security and Politics, Maastricht University. m.wijermars@maastrichtuniversity.nl

Timeline:

Submission guidelines:

Proposals of 750-1000 words should include an abstract and a short description explaining how the proposed paper relates to the special issue theme. Please submit your proposal through the submission form no later than June 30, 2020. Invited paper submissions will be due 31 October 2020 and will undergo peer review following the usual procedures of New Media & Society. Approximately 10-12 papers will be sent out for full review. Therefore, the invitation to submit a full article does not guarantee acceptance into the special issue. The special issue is scheduled for publication in early 2022, with online first publication expected from mid-2021 onwards.

HSS awards grant for ‘Sustainable Journalism for the Algorithmic Future’

Helsingin Sanomat Foundation has awarded a €130,000 grant to DRS co-founder Mariëlle Wijermars for the project ‘Sustainable Journalism for the Algorithmic Future’ (2020-2022).

The project, that in addition to Mariëlle involves Russian Media Lab researcher Olga Dovbysh, will be launched next January and run for three years (short summary below). If you are interested in getting involved or would like to know more, get in touch!

‘Sustainable Journalism for the Algorithmic Future’ (2020-2022)

The project investigates how data-driven media practices and the increased influence of IT industries on media business affect journalism and its role in the public sphere. Integrating new evidence from a hybrid media system (Russia) into a comparative study, it helps understand the context-specificity of this impact and will formulate a vision on making journalism societally, economically and ethically sustainable for the algorithmic future.