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A Global Book Reading Dataset

Author

Listed:
  • Nazanin Sabri

    (School of Electrical and Computer Engineering, University of Tehran, Tehran 1439957131, Iran)

  • Ingmar Weber

    (Qatar Computing Research Institute, Doha P.O. Box 34110, Qatar)

Abstract

The choice of what to read is both influenced by and indicative of such factors as a person’s beliefs, culture, gender, and socioeconomic status. However, obtaining data including such personal attributes, as well as detailed reading habits and activities of individuals is difficult and would usually require either (i) data from e-readers, such as the Amazon Kindle, or from library checkouts, both of which are hard to obtain, or (ii) distributing questionnaires and conducting interviews, which can be expensive and suffers from recall bias. In this study, we present a dataset of over 40 million reading instances of 1,872,677 unique individuals collected from Goodreads. Goodreads is a book-cataloging social media platform with millions of users, where users share comments on the books they have read, while creating and maintaining social connections. We enrich the dataset with gender and location information. The dataset presented in this study can be used to perform cross-national and cross-gender analyses of reading behavior among book enthusiasts.

Suggested Citation

  • Nazanin Sabri & Ingmar Weber, 2021. "A Global Book Reading Dataset," Data, MDPI, vol. 6(8), pages 1-11, August.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:8:p:83-:d:607890
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    References listed on IDEAS

    as
    1. Mike Thelwall & Kayvan Kousha, 2017. "Goodreads: A social network site for book readers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 972-983, April.
    2. Kayvan Kousha & Mike Thelwall & Mahshid Abdoli, 2017. "Goodreads reviews to assess the wider impacts of books," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(8), pages 2004-2016, August.
    3. Ahmad Mohammad Alghamdi & Hisham Ihshaish, 2021. "The use and impact of Goodreads rating and reviews, for readers of Arabic books," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 37(4), pages 442-466.
    4. Kayvan Kousha & Mike Thelwall, 2016. "Can Amazon.com reviews help to assess the wider impacts of books?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 566-581, March.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    reading; dataset; Goodreads;
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