The University of Southampton
University of Southampton Institutional Repository

Twenty two centuries of nostalgia in classical Chinese poetry

Twenty two centuries of nostalgia in classical Chinese poetry
Twenty two centuries of nostalgia in classical Chinese poetry
A burgeoning literature on nostalgia has identified the construct’s features, affective content, triggers, and psychological benefits across cultures. It has been argued that nostalgia is a fundamental human emotion. If so, these properties of nostalgia ought to be detected historically. We tested this possibility by relying on classical Chinese poetry, a unique vehicle given its historical relevance to ancient life and ability to express emotion. Content analyses of 600 poems revealed that, across dynasties, nostalgia was perceived and experienced similarly to today. In particular, the central (and also peripheral) features of the construct “nostalgia” were similar, the affective tone of nostalgia was mostly positive, its triggers paralleled contemporary ones (with visual stimuli and close others being most salient), and its psychological benefits were the same (with social connectedness being most prominent). The findings point to nostalgia as fundamental human emotion and open up promising directions of inquiry.
0022-0221
Li, Chao
c1d0232e-184f-47f8-bafa-e6a2bc123c5a
Sedikides, Constantine
9d45e66d-75bb-44de-87d7-21fd553812c2
Wildschut, Tim
4452a61d-1649-4c4a-bb1d-154ec446ff81
Dang, Jianning
b97344ca-0f79-428e-937e-d64c39df8954
Liu, Li
ce748233-f559-47d3-a423-c4dd25e2af26
Li, Chao
c1d0232e-184f-47f8-bafa-e6a2bc123c5a
Sedikides, Constantine
9d45e66d-75bb-44de-87d7-21fd553812c2
Wildschut, Tim
4452a61d-1649-4c4a-bb1d-154ec446ff81
Dang, Jianning
b97344ca-0f79-428e-937e-d64c39df8954
Liu, Li
ce748233-f559-47d3-a423-c4dd25e2af26

Li, Chao, Sedikides, Constantine, Wildschut, Tim, Dang, Jianning and Liu, Li (2024) Twenty two centuries of nostalgia in classical Chinese poetry. Journal of Cross-Cultural Psychology. (doi:10.1177/002202212412982).

Record type: Article

Abstract

A burgeoning literature on nostalgia has identified the construct’s features, affective content, triggers, and psychological benefits across cultures. It has been argued that nostalgia is a fundamental human emotion. If so, these properties of nostalgia ought to be detected historically. We tested this possibility by relying on classical Chinese poetry, a unique vehicle given its historical relevance to ancient life and ability to express emotion. Content analyses of 600 poems revealed that, across dynasties, nostalgia was perceived and experienced similarly to today. In particular, the central (and also peripheral) features of the construct “nostalgia” were similar, the affective tone of nostalgia was mostly positive, its triggers paralleled contemporary ones (with visual stimuli and close others being most salient), and its psychological benefits were the same (with social connectedness being most prominent). The findings point to nostalgia as fundamental human emotion and open up promising directions of inquiry.

Text
Li et al., 2024, JCCP - Accepted Manuscript
Download (786kB)

More information

Accepted/In Press date: 7 October 2024
e-pub ahead of print date: 25 November 2024

Identifiers

Local EPrints ID: 496315
URI: http://eprints.soton.ac.uk/id/eprint/496315
ISSN: 0022-0221
PURE UUID: a62540ad-1373-494d-8f27-ad4a6de79284
ORCID for Constantine Sedikides: ORCID iD orcid.org/0000-0003-4036-889X
ORCID for Tim Wildschut: ORCID iD orcid.org/0000-0002-6499-5487

Catalogue record

Date deposited: 11 Dec 2024 17:49
Last modified: 12 Dec 2024 02:37

Export record

Altmetrics

Contributors

Author: Chao Li
Author: Tim Wildschut ORCID iD
Author: Jianning Dang
Author: Li Liu

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×