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    Social Media in an English Village

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    Author(s)
    Miller, Daniel
    Collection
    European Research Council (ERC); EU collection
    Language
    English
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    Abstract
    Daniel Miller spent 18 months undertaking an ethnographic study with the residents of an English village, tracking their use of the different social media platforms. Following his study, he argues that a focus on platforms such as Facebook, Twitter and Instagram does little to explain what we post on social media. Instead, the key to understanding how people in an English village use social media is to appreciate just how ‘English’ their usage has become. He introduces the ‘Goldilocks Strategy’: how villagers use social media to calibrate precise levels of interaction ensuring that each relationship is neither too cold nor too hot, but ‘just right’.
    URI
    http://library.oapen.org/handle/20.500.12657/32835
    Keywords
    culture; social media; society; ethnography; Facebook; Instagram; Twitter
    DOI
    10.14324/111.9781910634431
    ISBN
    9781910634424, 9781910634431, 9781910634455, 9781910634462, 9781910634448
    OCN
    945783746
    Publisher
    UCL Press
    Publisher website
    https://www.uclpress.co.uk/
    Publication date and place
    2016
    Grantor
    • FP7 Ideas: European Research Council - 295486 - SOCNET - FP7 Research grant informationFind all documents
    Series
    Why We Post,
    Classification
    Society and Social Sciences
    Social and cultural anthropology
    Pages
    220
    Public remark
    Relevant Wikipedia pages: Ethnography - https://en.wikipedia.org/wiki/Ethnography; Facebook - https://en.wikipedia.org/wiki/Facebook; Instagram - https://en.wikipedia.org/wiki/Instagram; Social media - https://en.wikipedia.org/wiki/Social_media; Twitter - https://en.wikipedia.org/wiki/Twitter
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • 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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