IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v23y2021i1d10.1007_s10796-020-10008-5.html
   My bibliography  Save this article

A Twitter-Based Study of the European Internet of Things

Author

Listed:
  • Funda Ustek-Spilda

    (University of Oxford, Oxford Internet Institute)

  • Davide Vega

    (Uppsala University)

  • Matteo Magnani

    (Uppsala University)

  • Luca Rossi

    (IT University Copenhagen)

  • Irina Shklovski

    (University of Copenhagen)

  • Sebastian Lehuede

    (The London School of Economics and Political Science)

  • Alison Powell

    (The London School of Economics and Political Science)

Abstract

We present a methodology integrating social media data, data from qualitative research and network analysis. Qualitative insights gained from ethnographic fieldwork are used to collect and annotate social network data, and social media data is used as part of the ethnography to identify relevant actors and topics. The methodology is presented in the context of an analysis of the Internet of Things in the European context.

Suggested Citation

  • Funda Ustek-Spilda & Davide Vega & Matteo Magnani & Luca Rossi & Irina Shklovski & Sebastian Lehuede & Alison Powell, 2021. "A Twitter-Based Study of the European Internet of Things," Information Systems Frontiers, Springer, vol. 23(1), pages 135-149, February.
  • Handle: RePEc:spr:infosf:v:23:y:2021:i:1:d:10.1007_s10796-020-10008-5
    DOI: 10.1007/s10796-020-10008-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-020-10008-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-020-10008-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irina Wedel & Michael Palk & Stefan Voß, 2022. "A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter," Information Systems Frontiers, Springer, vol. 24(5), pages 1635-1646, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:23:y:2021:i:1:d:10.1007_s10796-020-10008-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.