The Politics of Platformization: Amsterdam Dialogues on Platform Theory

What is platformization and why is it a relevant category in the contemporary political landscape? How is it related to cybernetics and the history of computation? This book tries to answer such questions by engaging in multidisciplinary dialogues about the first ten years of the emerging fields of platform studies and platform theory. It deploys a narrative and playful approach that makes use of anecdotes, personal histories, etymologies, and futurable speculations to investigate both the fragmented genealogy that led to platformization and the organizational and economic trends that guide nowadays platform sociotechnical imaginaries

Where do bloggers blog? Platform transitions within the historical Dutch blogosphere

The blogosphere has played an instrumental role in the transition and the evolution of linking technologies and practices. This research traces and maps historical changes in the Dutch blogosphere and the interconnections between blogs, which — traditionally considered — turn a set of blogs into a blogosphere. This paper will discuss the definition of the blogosphere by asking who the actors are which make up the blogosphere through its interconnections. This research aims to repurpose the Wayback Machine so as to trace and map transitions in linking technologies and practices in the blogosphere over time by means of digital methods and custom software. We are then able to create yearly network visualizations of the historical Dutch blogosphere (1999–2009). This approach allows us to study the emergence and decline of blog platforms and social media platforms within the blogosphere and it also allows us to investigate local blog cultures

The historical trajectories of algorithmic techniques: an interview with Bernhard Rieder

Bernhard Rieder is Associate Professor of New Media and Digital Culture at the University of Amsterdam and a collaborator with the Digital Methods Initiative. His research focuses on the history, theory and politics of software and in particular on the role algorithms play in social processes and in the production of knowledge and culture. This includes work on the analysis, development, and application of computational research methods as well as investigation into the political and economic challenges posed by large online platform. In this interview, Michael Stevenson (MS) and Anne Helmond (AH) talk to Bernhard Rieder (BR) about his forthcoming book entitled Engines of Order: A Mechanology of Algorithmic Techniques (University of Amsterdam Press, 2020). In particular, Rieder discusses how the practice of software-making is “constantly faced with the ‘legacies’ of previous work” and how the past continues to operate into present algorithmic techniques

From healthy communities to toxic debates: Disqus’ changing ideas about comment moderation

This article examines how the commenting platform Disqus changed the way it speaks about commenting and moderation over time. To understand this evolving self-presentation, we used the Internet Archive Wayback Machine to analyse the company’s website and blog between 2007 and 2021. By combining interpretative close-reading approaches with computerised distant-reading procedures, we examined how Disqus tried to advance online discussion and dealt with moderation over time. Our findings show that in the mid-2000s, commenting systems were supposed to help filter and surface valuable contributions to public discourse, while ten years later their focus had shifted to the proclaimed goal of protecting public discourse from contamination with potentially harmful (“toxic”) communication. To achieve this, the company developed new tools and features to keep communities “healthy” and to facilitate and semi-automate active and interventive forms of moderation. This rise of platform interventionism was fostered by a turn towards semantics of urgency in the company’s language to legitimise its actions

The Data Sprint Approach: Exploring the field of Digital Humanities through Amazon’s Application Programming Interface

This paper documents the results of an intensive "data sprint" method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we developed a method to map the fields of Digital Humanities and Electronic Literature based on title recommendations from the largest online bookseller, Amazon, by retrieving similar purchased items from the Amazon API. A first step shows the overall Amazon recommendation network for Digital Humanities and allows us to detect clusters, aligned fields and bridging books. In a second step we looked into four country-specific Amazon stores (Amazon.com, Amazon.co.uk, Amazon.fr and Amazon.de) to investigate the specificities of the Digital Humanities in these four countries. The third step is a network of all books suggested for the Electronic Literature field in the four Amazon stores we searched, which offers a comparison to the field of Digital Humanities.publishedVersio

Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence

Critical scholars contend that ‘There is no AI without Big Tech’. This study delves into the substantial role played by major technology conglomerates, including Amazon, Microsoft, and Google (Alphabet), in the ‘industrialisation of artificial intelligence’. This concept encapsulates the shift of AI technologies from the research and development stage to practical, real-world applications across diverse industry sectors, resulting in new dependencies and associated investments. We employ the term ‘Big AI’ to encapsulate the structural convergence of AI and Big Tech, characterised by the profound interdependence of AI with the infrastructure, resources, and investments of these major technology companies. Using a ‘technographic’ approach, our study scrutinises the infrastructural support and investments of Big Tech in the AI sector, focussing on corporate partnerships, acquisitions, and financial investments. Additionally, we conduct a detailed examination of the complete spectrum of cloud platform products and services offered by Amazon, Microsoft, and Google. We demonstrate that AI is not merely an abstract idea but an actual technology stack encompassing infrastructure, models, applications, and an ecosystem of applications and companies relying on this stack. Significantly, these tech giants have seamlessly integrated all three components of the stack into their cloud offerings. Furthermore, they have developed industry-focussed solutions and marketplaces aimed at attracting third-party developers and businesses, fostering the growth of a broader AI ecosystem. This analysis underscores the intricate interdependence between AI and cloud infrastructure, emphasising the industry-specific aspects of cloud AI