Evidence map›Paper›PMID 42809456›Full record

ArticleJournal of medical Internet research2026

Covert Promotional Cancer-Related Content in Korean Search Engines: Computational Content Analysis of Naver and Google.

Kyung Han You, Ho Young Yoon, Dalyong Kim, Joo Han Lim, Wonyoung Choi, Hyun Woo Lee, Sang-Cheol Lee

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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
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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

7 authors.

Kyung Han You *Department of Media and Communication Studies, Jeonbuk National University, Baekjaedaero 567, Jeonju, Jeollabuk-do, Republic of Korea.ORCID http://orcid.org/0000-0001-9498-8504
Ho Young Yoon *Division of Communication and Media, Ewha Womans University, Seoul, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-5307-1967
Dalyong KimDongguk University Ilsan Hospital, Goyang, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0003-0193-422X
Joo Han LimInha University Hospital, Incheon, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0002-5330-1996
Wonyoung ChoiNational Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0002-8292-3903
Hyun Woo LeeAjou University Hospital, Suwon, Gyeonggi-do, Republic of Korea.
Sang-Cheol LeeSoonchunhyang University Hospital Cheonan, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, Chungcheongnam-do, 31151, Republic of Korea, 82 1071093635.ORCID http://orcid.org/0000-0003-0139-9909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet search engines serve as primary gateways to cancer information; yet, the commercialization of health content within organic search results remains understudied. While covert promotional content-such as native advertising and stealth marketing-has been documented in various contexts, systematic comparisons across structurally divergent search platforms are lacking. Objective: This study examined the prevalence, distribution, and information quality characteristics of covert promotional cancer-related content across Naver and Google, South Korea's 2 dominant search engines, which have fundamentally different platform architectures. Methods: A 2-phase cross-sectional content analysis was conducted. Phase 1 used natural language processing to identify 34 cancer-related keywords from 1400 preliminary posts. Phase 2 systematically collected 5848 posts in October 2023, yielding 919 unique posts (598 from Naver and 321 from Google) that covered 7 major cancer types, collectively accounting for over 70% of Korean cancer incidence. Two trained coders analyzed promotional status, intensity, institutional sources, and information quality indicators (citation practices, information depth, and source attribution), with intercoder reliability exceeding κ=0.80. Chi-square tests were used to examine associations between platform and content characteristics across cancer type. Results: Covert promotional content appeared in 48.6% (447/919) of analyzed posts, with a significantly higher prevalence on Google (174/321, 54.2%) than on Naver (273/598, 45.7%; Conclusions: Covert promotional cancer content is pervasive in Korean search results, with platform architecture systematically shaping promotional patterns, institutional sources, and information quality rather than reflecting deliberate marketing strategies. These findings underscore the need for platform-sensitive regulation and enhanced digital health literacy to protect vulnerable cancer information seekers from commercial exploitation embedded within ostensibly neutral search environments.

Indexed as

InternetNeoplasmsSearch EngineCross-Sectional StudiesHumansRepublic of Koreacovert promotiondigital cancer informationdigital health literacyhealth information qualitymedical commercializationnative advertisingpinkwashing

Identifiers

PMID42809456
PMCPMC13622876

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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.