Evidence map›Paper›PMID 42373989›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2026

Media Discourse on Healthy Cities: Topic Modeling of South Korean News Articles (2004-2024).

Hye Su Jeong, Haejoo Chung

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hye Su JeongBK21 FOUR R&E Center for Learning Health Systems, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, South Korea.ORCID http://orcid.org/0000-0002-8197-3212
Haejoo ChungDivision of Health Policy & Management, College of Health Science, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul, 02841, South Korea. hpolicy@korea.ac.kr.ORCID http://orcid.org/0000-0002-2661-4161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze healthy and sustainable city-related news articles in South Korea to identify key themes in media discourse and their temporal changes, and to examine their alignment with the UN's Sustainable Development Goals (SDGs). This was a retrospective observational study using text mining and topic modeling of news articles from a nationwide news database spanning 2004-2024. News articles (n = 15,137) containing the term "healthy city" were collected from the BIGKinds news big data system. After data preprocessing, Latent Dirichlet Allocation topic modeling was applied to identify main themes. Topic temporal changes were analyzed through linear trend analysis, and topics were evaluated for SDG relevance. Ten main topics were identified through topic modeling: eight related to SDG 11 (Sustainable Cities and Communities) and two to SDG 16 (Peace, Justice, and Strong Institutions). Topics showing significant increase over time included urban planning, policy governance, and policy evaluation. Interest decreased significantly in region-specific development, physical activity infrastructure, and local tourism. Notable gaps were found in addressing WHO-emphasized SDGs 2, 6, 12, and 13. South Korean media discourse on healthy cities has shifted from physical infrastructure development to urban planning and governance. While strongly aligned with SDG 11, findings suggest the need for a more balanced approach that addresses gaps in environmental sustainability while maintaining effective governance.

Indexed as

Mass MediaSustainable DevelopmentUrban HealthCitiesCity PlanningData MiningHumansMedia ExposureRepublic of KoreaRetrospective StudiesBIGKindsCitiesData miningMedia discoursePublic healthUrban health

Identifiers

PMID42373989
PMCPMC13525135

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.