Reframing Algorithms
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Reframing Algorithms
Author: Francesco Miele
language: en
Publisher: Palgrave Macmillan
Release Date: 2024-05-13
This book provides a fully-fledged exploration of science and technology studies (STS) perspective applied to algorithms developed to support care processes. By concentrating on algorithmic technologies for supporting processes of social and health care, the book intersects topics connected to technoscientific innovation and specifically digital transformation for health care. By offering different attempts of deconstructing algorithmic technologies, the book provides a landmark reference for those interested in undertaking research focused on areas connected to algorithmic decision-making for health care. The book will be an invaluable reference for scholars interested in the STS debate and related fields (e.g.,human–computer interaction, computer supported cooperative work, participatory design, and sociology of health and medicine). This book responds to a growing interest in the application of algorithms’ to local and national care systems. The book balances theoretical and empirical analysis bringing together experienced and early-career scholars. This book will be of interest to researchers in STS as well as healthcare professionals and managers as some of the topics covered help to critically reconsider some facets of planning through algorithmic technologies supporting the practice of healthcare and decision-making.
Algorithms
Algorithms: Technology, Culture, Politics develops a relational, situated approach to algorithms. It takes a middle ground between theories that give the algorithm a singular and stable meaning in using it as a central analytic category for contemporary society and theories that dissolve the term into the details of empirical studies. The book discusses algorithms in relation to hardware and material conditions, code, data, and subjects such as users, programmers, but also “data doubles”. The individual chapters bridge critical discussions on bias, exclusion, or responsibility with the necessary detail on the contemporary state of information technology. The examples include state-of-the-art applications of machine learning, such as self-driving cars, and large language models such as GPT. The book will be of interest for everyone engaging critically with algorithms, particularly in the social sciences, media studies, STS, political theory, or philosophy. With its broad scope it can serve as a high-level introduction that picks up and builds on more than two decades of critical research on algorithms.
Living with Algorithms
A nuanced account from a user perspective of what it’s like to live in a datafied world. We live in a media-saturated society that increasingly transforms our experiences, relations, and identities into data others can analyze and monetize. Algorithms are key to this process, surveilling our most mundane practices, and to many, their control over our lives seems absolute. In Living with Algorithms, Ignacio Siles critically challenges this view by surveying user dynamics in the global south across three algorithmic platforms—Netflix, Spotify, and TikTok—and finds, surprisingly, a more balanced relationship. Drawing on a wealth of empirical evidence that privileges the user over the corporate, Siles examines the personal relationships that have formed between users and algorithms as Latin Americans have integrated these systems into the structures of everyday life, enacted them ritually, participated in public with and through them, and thwarted them. Sometimes users follow algorithms, Siles finds, and sometimes users resist them. At times, users do both. Agency lies in the navigation of the spaces in-between. By analyzing what we do with algorithms rather than what algorithms do to us, Living with Algorithms clarifies the debate over the future of datafication and whether we have a say in its development. Concentrating on an understudied region of the global south, the book provides a new perspective on the commonalities and differences among users within a global ecology of technologies.