Book Ratings and Recommendations

Book Ratings and Recommendations

From Data Skeptic by Kyle Polich

March 27, 2026 · 39 min

About this episode

The episode discusses the misleading nature of Goodreads star ratings and explores how reader preferences and reviews impact perceptions of book quality.

Goodreads star ratings can be misleading as measures of "book quality," and research from Hannes Rosenbusch suggests that for many professionally published books, differences between readers often matter more than differences between books. The episode also explores how to model reader preferences, why reviews often reveal more about the reviewer than the text, and how LLMs can aid computational literary research while still falling short of human editors in creative writing.

People in this episode

Host: Kyle Polich

Topics covered

  • book ratings
  • reader preferences
  • computational literary research
  • reviews
  • LLMs
  • book quality

Keywords

  • Goodreads
  • book quality
  • reader preferences
  • reviews
  • LLMs
  • computational literary research

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