--- title: "korea.kr in the Machine Relations Index" description: "korea.kr appeared as a cited source in 1 of 37,851 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-09." canonical: "https://machinerelations.ai/index/domains/korea.kr" --- # korea.kr in the Machine Relations Index Canonical URL: https://machinerelations.ai/index/domains/korea.kr Canonical domain: korea.kr Source role: Other observed source Release mri_score_v2.1+2026-11-09+d7ef5411c915; methodology mri_score_v2.1; generated 2026-11-09; window 2026-05-10 to 2026-11-09; artifact 6cd5e904f35f. korea.kr appeared as a cited source in 1 of 37,851 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-09. ## 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. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 1 of 37,851 - Days cited: 1 of 177 - Engine breadth: 1 observed engine (perplexity) - Confidence: Collecting - Standing: Collecting: no rank until it clears the evidence floor ## Observed Segments | Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing | |---|---|---|---:|---:|---:|---:|---| | [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Problem-first research](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | published | 1 | 299 | 14 | 0.33% | #336 of 476 | ## Citation Record 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: https://machinerelations.ai/index/categories/ai-infrastructure ## Peers 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. Leaderboard: https://machinerelations.ai/index/categories/ai-infrastructure/problem_first | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #162 of 476 | [hidekazu-konishi.com](https://machinerelations.ai/index/domains/hidekazu-konishi.com) | Other observed source | 0.67% | +0.34 pts | | #163 of 476 | [ibm.com](https://machinerelations.ai/index/domains/ibm.com) | Vendor-owned source | 0.67% | +0.34 pts | | #164 of 476 | [ikonnectservice.com](https://machinerelations.ai/index/domains/ikonnectservice.com) | Other observed source | 0.67% | +0.34 pts | | #165 of 476 | [Impressive Magazine](https://machinerelations.ai/index/domains/impressivemagazine.com) | Editorial publication | 0.67% | +0.34 pts | | #166 of 476 | [infoq.com](https://machinerelations.ai/index/domains/infoq.com) | Other observed source | 0.67% | +0.34 pts | | #167 of 476 | [luminaryera.com](https://machinerelations.ai/index/domains/luminaryera.com) | Other observed source | 0.67% | +0.34 pts | | #335 of 476 | [koji.so](https://machinerelations.ai/index/domains/koji.so) | Other observed source | 0.33% | Same rate | | #338 of 476 | [kuriko-iwai.com](https://machinerelations.ai/index/domains/kuriko-iwai.com) | Other observed source | 0.33% | Same rate | ## 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 ```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} } ``` DOI: https://doi.org/10.5281/zenodo.23652423 Citation file: https://machinerelations.ai/CITATION.cff ## Badge Badge image: https://machinerelations.ai/index/domains/korea.kr/badge.svg [![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) 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. ## Use the data The public JSON is https://machinerelations.ai/data/machine-relations-index.json. The release manifest is https://machinerelations.ai/data/mri-release-manifest.json. The domain CSV is https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv. The Zenodo concept DOI is https://doi.org/10.5281/zenodo.23652423. ```bash 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 ``` ```python 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"]) ``` ## Public Boundary 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; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade. ## Related Sources - [Machine Relations Index](https://machinerelations.ai/index) - [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json) - [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)