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        The Datafied Society. Studying Culture through Data

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        Contributor(s)
        van Es, Karin (editor)
        Schäfer, Mirko Tobias (editor)
        Language
        English
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        Abstract
        As more and more aspects of everyday life are turned into machine-readable data, researchers are provided with rich resources for researching society. The novel methods and innovative tools to work with this data not only require new knowledge and skills, but also raise issues concerning the practices of investigation and publication. This book critically reflects on the role of data in academia and society and challenges overly optimistic expectations considering data practices as means for understanding social reality. It introduces its readers to the practices and methods for data analysis and visualization and raises questions not only about the politics of data tools, but also about the ethics in collecting, sifting through data, and presenting data research. AUP S17 Catalogue text As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation.
        URI
        http://library.oapen.org/handle/20.500.12657/31843
        Keywords
        social media; data analysis; data journalism; data visualization; internet research
        DOI
        10.5117/9789462981362
        ISBN
        9789048531011; 9789462987173
        OCN
        982244713
        Publisher
        Amsterdam University Press
        Publisher website
        https://www.aup.nl/
        Publication date and place
        2017
        Classification
        Research and information: general
        Rights
        https://creativecommons.org/licenses/by-nc-nd/3.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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