A linguistic analysis of user-generated book reviews: Truthful, deceiving or influential?

Authors

  • Lala Hajibayova Kent State University School of Information

DOI:

https://doi.org/10.7152/acro.v29i1.15459

Keywords:

User-generated reviews, Goodreads, computational linguistic analysis of user-generated reviews

Abstract

This study presents an analysis of 474,803 unique Goodreads reviews of the top-rated books in 2014. Studies of user-generated reviews have considered a range of issues, including analysis of what makes a review helpful.

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Published

2019-06-28

Issue

29th ASIS SIG/CR Classification Research Workshop

Section

Articles

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