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Complexities Associated with User-generated Book Reviews in Digital Libraries: Temporal, Cultural, and Political Case Studies by Yuerong Hu; Zoe LeBlanc; Jana Diesner; Ted Underwood; Glen Layne-Worthey; J. Stephen Downie is a scholarly article available to read on EtoBox.

What is Complexities Associated with User-generated Book Reviews in Digital Libraries: Temporal, Cultural, and Political Case Studies about?

While digital libraries (DL) have made large-scale collections of digitized books increasingly available to researchers , there remains a dearth of similar data provisions or infrastructure for computational studies of the consumption and reception of books. In the last two decades, user-generated book reviews on social media have opened up unprecedented research possibilities for humanities and social sciences (HSS) scholars who are interested in book reception. However, limitations and gaps have emerged from existing DH research which utilize social media data for answering HSS questions. To shed light on the under-investigated features of user-generated book reviews and the challenges they might pose to scholarly research, we conducted three exemplar cases studies: (1) a longitudinal analysis for profiling the temporal changes of ratings and popularity of 552 books across ten years; (2) a cross-cultural comparison of book ratings of the same 538 books across two platforms; and, (3) a classification experiment on 20,000 sponsored and non-sponsored books reviews. Correspondingly, our research reveals the real-world complexities and under-investigated features of user-generated boo

Author

Yuerong Hu; Zoe LeBlanc; Jana Diesner; Ted Underwood; Glen Layne-Worthey; J. Stephen Downie

Publisher

ACM

Published

2022

Language

EN