Source domain profile · Other observed source

korea.kr in the Machine Relations Index

korea.kr appeared as a cited source in 1 of 37,851 monitored answer runs (under 0.01%) from May 10, 2026 to November 9, 2026.

Source site Markdown Public JSON

Self-description

How the site describes itself

문화체육관광부에서 운영하는 대한민국 정책을 제공하는 포털사이트로 정책뉴스, 정책포커스, 국민이말하는정책, 정책칼럼, 이슈인사이트, 사실은이렇습니다, 멀티미디어뉴스, 보도자료, 브리핑자료, 연설문, 채용정보 등을 서비스합니다.

korea.kr describes itself this way in the description tag on its homepage, read on November 8, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

Citation rateunder 0.01%

1 cited run of 37,851 observed answer runs.

Days cited1/177

Days with a citation, of the days observed in the current release window.

Engine breadth1

Perplexity. This is an observed-engine list, not a per-engine rate.

ConfidenceCollecting

MRI confidence is not an Answer-Source Fidelity grade.

Standing

Population ranks from the public release

Public standing: Collecting: no rank until it clears the evidence floor
Full universe: Not ranked in this release
Source role population: Not ranked in this release
Evidence-qualified source role: Not ranked in this release

Segment evidence

Observed category and question-shape rows

Segment rates use that category and question shape only. A row still collecting shows how many runs have been measured. A dash means no measured runs yet.

Category	Question shape	State	Cited runs	Observed runs	Run dates	Rate	Rank population	Badge
AI Infrastructure	Problem-first research	Published	1	299	14	0.33%	#336 of 476	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

korea.kr has been cited in one monitored answer run, on October 3, 2026, by Perplexity, in answers to AI Infrastructure / Problem-first research questions. Other sources cited for AI Infrastructure questions are on the AI Infrastructure sources page.

Peers

Nearest sources on AI Infrastructure / Problem-first research

korea.kr holds its best segment rank, #336 of 476, in AI Infrastructure / Problem-first research, at 0.33%. 269 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Full leaderboard.

Rank	Source	Source role	Segment citation rate	Against this source
#162 of 476	hidekazu-konishi.com	Other observed source	0.67%	+0.34 pts
#163 of 476	ibm.com	Vendor-owned source	0.67%	+0.34 pts
#164 of 476	ikonnectservice.com	Other observed source	0.67%	+0.34 pts
#165 of 476	Impressive Magazine	Editorial publication	0.67%	+0.34 pts
#166 of 476	infoq.com	Other observed source	0.67%	+0.34 pts
#167 of 476	luminaryera.com	Other observed source	0.67%	+0.34 pts
#335 of 476	koji.so	Other observed source	0.33%	Same rate
#338 of 476	kuriko-iwai.com	Other observed source	0.33%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. korea.kr, under 0.01% citation rate, 1 of 37,851 monitored answer runs, 2026-05-10 to 2026-11-09. Release mri_score_v2.1+2026-11-09+d7ef5411c915. https://machinerelations.ai/index/domains/korea.kr. CC BY 4.0.

APA

Parrott, J. (2026). korea.kr in the Machine Relations Index (Version mri_score_v2.1+2026-11-09+d7ef5411c915) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/korea.kr https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mrikoreakr,
  author = {Parrott, Jaxon},
  title = {korea.kr in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-09+d7ef5411c915},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/korea.kr},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

Published November 9, 2026. The observation window runs May 10, 2026 to November 9, 2026. Methodology v2.1.

Use the data

curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json
curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json
curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv
curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.html

import json
from urllib.request import urlopen

index_url = "https://machinerelations.ai/data/machine-relations-index.json"
with urlopen(index_url) as response:
    index = json.load(response)
print(index["generated"], index["total_domains"])

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.

Embed

Embed this profile’s badge

Put this badge on your site to show how often AI answers cite it. It links to this profile and updates with every new release; if a later release no longer includes this domain, the badge stops loading. To keep today’s numbers fixed, save the SVG and host it yourself.

HTML

<a href="https://machinerelations.ai/index/domains/korea.kr"><img src="https://machinerelations.ai/index/domains/korea.kr/badge.svg" alt="korea.kr in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,851 runs), Nov 9, 2026 release. Machine Relations Research." width="385" height="64"></a>

Markdown

[![korea.kr in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,851 runs), Nov 9, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/korea.kr/badge.svg)](https://machinerelations.ai/index/domains/korea.kr)