Description

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 b

Algorithms

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Order before 4pm tomorrow for delivery by Tue 27 Jan 2026.

A Paperback by Tobias Matzner

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    Publisher: Taylor & Francis Ltd
    Publication Date: 10/2/2023 12:00:00 AM
    ISBN13: 9781032290591, 978-1032290591
    ISBN10: 1032290595

    Description

    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 b

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