Goodreads Classics Metadata and Code for Computational Study of Amazon and Readers

Cultural Analytics Dataverse hosts metadata and code for a computational study of Goodreads 'Classics'. The repository, created by Melanie Walsh, supports analysis of Amazon, readers, and crowdsourced amateur criticism. The repository was last updated on May 26, 2026.

Use Cases

• Analyze patterns in amateur literary criticism based on Goodreads reviews.
• Study the relationship between Amazon and reader communities based on the described computational study.
• Investigate the concept of 'Classics' in digital spaces based on the crowdsourced data.
• Develop computational methods for cultural analytics based on the provided code.

Strengths

• Repository is associated with a published academic article, suggesting a research foundation.
• Last update date is May 26, 2026, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The repository contains metadata and code; the availability and format of the actual dataset files are unclear.

Provenance

Source

Cultural Analytics Dataverse

Collection Method

Likely gathered from Goodreads and Amazon platforms for computational analysis.

Freshness

Last updated 2026-05-26 16:50:52; freshness should be verified.