Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 297

The DOI matches its Crossref record; 127 of the 127 references it cites were found in a registry or an index.

The mind and its stories: narrative universals and human emotion

·2004·Choice Reviews Online

Abstract

There are profound, extensive, and surprising universals in literature, which are bound up with universals in emotion. Hogan maintains that debates over the cultural specificity of emotion are misdirected because they have ignored a vast body of data that bear directly on the way different cultures imagine and experience emotion - literature. This is the first empirically and cognitively based discussion of narrative universals. Professor Hogan argues that, to a remarkable degree, the stories people admire in different cultures follow a limited number of patterns and that these patterns are determined by cross-culturally constant ideas about emotion. In formulating his argument, Professor Hogan draws on his extensive reading in world literature, experimental research treating emotion and emotion concepts, and methodological principles from the contemporary linguistics and the philosophy of science. He concludes with a discussion of the relations among narrative, emotion concepts, and the biological and social components of emotion.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5860/choice.41-4471

Cites

127 of 127 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 127 references

Cited by

See all 297

Metadata

Venue
Choice Reviews Online
Published
2004-04-01
Volume
41
Issue
08
Pages
41-4471-41-4471
ISSN
  • 0009-4978 (ISSN-L)
  • 1523-8253
OpenAlex
W1945580379
Cited by
297
References
127
Type
book review
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The mind and its stories: narrative universals and human emotion. https://app.cochat.ai/papers/10.5860/choice.41-4471
The paper
The mind and its stories: narrative universals and human emotion. (2004). Choice Reviews Online. https://doi.org/10.5860/choice.41-4471

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.