Evaluating book impacts via integrating multi-source reviews

Qingqing Zhou ()
Additional contact information
Qingqing Zhou: Nanjing Normal University

Scientometrics, 2024, vol. 129, issue 11, No 18, 6946 pages

Abstract: Abstract Citations and alternative metrics are commonly used to assess impacts of books. However, such metrics often cannot reflect detailed evaluation information, as they are often frequency-level metrics and neglect content information about books. Existing research reveals that book reviews are useful sources for measuring book impacts, which can provide content-level supplementary information for evaluation. Meanwhile, book reviews are generated from multiple sources, including academic reviews from experts and online reviews from the public. These multi-source reviews reveal opinions on books from different dimensions. Thus, evaluating book impact based on single category of reviews are difficult to get fully assessment results. Hence, this paper assesses book impacts by integrating academic and online reviews, so as to measuring book impacts comprehensively. Specifically, we firstly collected books’ academic reviews and online reviews. Then, we extracted multi-dimensional metrics via finer-grained mining on book reviews. Finally, we compared assessment results based on book review integration and library information to verify assessment results. Experimental results infer that book review integration can complement evaluation information for book impact assessment, and thus improve the book evaluation system and methods.

Keywords: Book impact assessment; Review mining; Review integration; Library holdings (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-024-05174-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:129:y:2024:i:11:d:10.1007_s11192-024-05174-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-024-05174-1

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().