A Matter of Interpretation: A review of ‘Structure and Interpretation of Computer Programs (JavaScript Edition)’

The history of science and technology has, until relatively recently, neglected the study of textbooks. However, more recent scholarship has shown how important they have been, not only pedagogically, but also to the creation and direction of various fields like chemistry and physics.1 Arguably computer science textbooks are and have been pivotal for the field …

Days Without Clouds: Realism, Images, and Target Classifiers at Google Earth Engine

Introduction In 2013, Google announced the creation of a cloud-less, night-less, Spring-all-over image of the Earth. This new cloud-free image–assembled from a 40-year archive of satellite images–allowed anyone to see, with perfect clarity, any spot on the Earth’s surface. Creating this new image upgraded Google’s mapping products. Older and less-clear images were updated. Certain parts …

Spaces of Flaws of Flows: COBOL and the back-back-ends of development

Introduction Between the years of 2013 and 2020, I carried out a multi-layered, intersectional interrogation of the supposedly obsolete programming language COBOL, with the aim to provide insights into aspects of global information architectures that are otherwise hidden and inaccessible. This led me to engage with a form of human-machine interchange that, unlike the ideal …

The Decidim ‘soft infrastructure’: democratic platforms and technological autonomy in Barcelona

1. A platform for urban governance As the ‘smart city’ concept has spread globally within the last few years, there has been a growing chorus of critics suggesting urban governance has been de-politicised through the reduction of social problems towards data modelling and technical challenges1. In order to respond to these critiques, a lot of …

Black Software Matters

Introduction Charlton McIlwain’s Black Software: The Internet & Racial Justice, from the AfroNet to Black Lives Matter1 is a recent addition to a growing literature on computing and identity. The book asks us to confront an awkward truth: How a person is racially marked can help to account for how that person is likely to …

Thinking Culture in the Age of Global Finance: A review of Spotify Teardown

The authors of Spotify Teardown have written an important book. The first of what may soon become a cottage industry of texts about individual streaming services, Spotify Teardown shows what a multidisciplinary approach toward understanding Spotify can tell us about what drives the development of streaming services, and how they are changing media culture. Spotify …

The Patterning of Finance/Security: A Designerly Walkthrough of Challenger Banking Apps

Introduction Seemingly innocuous, even trivial, apps are profoundly enmeshed with the practices and habits of everyday life. Across the uniform grids in app stores and mobile GUIs, the icons of dating apps sit next to fitness apps, reading apps next to news apps, navigation apps and transport apps next to shopping apps, smart home apps …

Editorial Issue Seven

This latest, somewhat overdue, issue of Computational Culture addresses draws together several different areas of research. The bulk of the articles in this issue of Computational Culture address apps and appification. Whilst the discussions by the seven contributions to this section of the issue are wide-ranging and testify to the plurality of ways of addressing …

App-ed Out: Logics of Success and Failure in App Stores

Introduction ‘Tweets coming soon.’ ‘All movements have a beginning.’ These were the first two tweets published to the AppDeveloperUnion (@AppDevUnion) twitter account. They were published on Jun. 7, 2012, strategically timed a few days before Apple’s annual WorldWide Developers Conference. A dozen or so other tweets came from the account over the next four days, …

Regramming the Platform: Infrastructural Relations between Apps and Social Media

Introduction In May 2018, Instagram announced a new feature for users to share feed posts to their own Instagram Stories.1 This practice of ‘resharing’, as Instagram calls it, had already been introduced over six years prior in a third-party app called Regram,2 a popular app with over 500,000 downloads addressing the platform’s lack of support …

Dating Apps and Data Markets: A Political Economy of Communication Approach

Introduction Numerous and widely used, dating apps collect and connect detailed personal data across platforms. They have therefore been responsible for integrating intensive modes of personal data collection and computational decision-making into intimate social life, and, in parallel, for integrating these personal and intimate modes of communication into the platform-dominated digital media environment’s logics and …

Infrastructures of Intimate Data: Mapping the Inbound and Outbound Data Flows of Dating Apps

A Data Infrastructure Approach to App Studies In early 2018, as a result of the Cambridge Analytica scandal, Facebook limited the types of data that third-party apps could access through its application programming interfaces (APIs). 1 Facebook one-sidedly implemented a new data governance model, 2 limiting access to the personal information – such as relationship …

Policing through Platform

Introduction The relationship between mobile technologies and policing in the United States is not a new one. In-car computers and scanners, hand-held recording devices, radios and cameras have been deployed in the field for decades. The last decade has been characterized by a steady rise of networked information technologies and resources that have co-constituted new …

Less Mutable, More Mobile: The Role of Twitter Apps in the History of the Retweet Button

Introduction Twitter is not only a platform for the circulation of all kinds of messages; it is simultaneously an interface that makes this very activity explicitly visible. It is a highly reflexive infrastructure, as it automatically produces dynamic accounts of its infrastructural activity. I assume that these accounts are in no way a secondary, ex-post …

Infrastructure of Vision: Envisioning the Future through Market Devices

Introduction Since Frank Rosenblatt’s Perceptron – a neural network processing ‘[visual] inputs impinging directly from the physical environment’1 developed between 1957 and 1961 – computer vision has been a defining function of machine learning. While the Perceptron never reached the level of accuracy at image classification tasks that its military funders were hoping for, the …