---
title: "Euronews in the Machine Relations Index"
description: "Canonical domain: euronews.com"
canonical: "https://machinerelations.ai/index/domains/euronews.com"
---

# Euronews in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/euronews.com
Canonical domain: euronews.com
Source role: Editorial publication
Release mri_score_v2.1+2026-11-01+0542f5da373e; methodology mri_score_v2.1; generated 2026-11-01; window 2026-05-10 to 2026-11-01; artifact 153bff98106d.

euronews.com appeared as a cited source in 3 of 34,788 monitored answer runs (0.01%) from 2026-05-10 to 2026-11-01.

## How the Site Describes Itself

> Latest breaking news available as free video on demand. Stay informed on European and world news about economy, politics, diplomacy… with Euronews.

euronews.com describes itself this way in the description tag on its homepage, read on October 30, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: 0.01%
- Cited runs: 3 of 34,788
- Days cited: 3 of 169
- Engine breadth: 2 observed engines (claude, perplexity)
- Confidence: Collecting
- Standing: collecting · 0.01% across 3/34,788 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Problem-first research](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) | published | 2 | 254 | 12 | 0.79% | #165 of 490 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [How buyers choose](https://machinerelations.ai/index/categories/family-software/how_choose) | published | 1 | 226 | 12 | 0.44% | #197 of 284 |

## Citation History

euronews.com was first cited in a monitored answer run on September 27, 2026, and most recently on October 23, 2026, with cited runs in 2 of the 3 months from then to this release. The release window opens 2026-05-10, so an earlier citation would not show here.

A month's rate is the share of all monitored answer runs that month that cited this domain. The latest month is still collecting.

| Month | Cited runs | Observed runs | Rate |
|---|---:|---:|---:|
| September 2026 | 1 | 4,971 | 0.02% |
| October 2026 | 2 | 16,496 | 0.01% |
| November 2026 (to 2026-11-01) | 0 | 305 | 0.00% |

## By Answer Engine

An engine's rate is its cited runs over every monitored run that engine answered in the window. Engines answer different numbers of runs, so compare rates, not counts.

| Engine | Cited runs | Engine's observed runs | Rate |
|---|---:|---:|---:|
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 2 | 8,269 | 0.02% |
| [Claude](https://machinerelations.ai/index/engines/claude) | 1 | 8,189 | 0.01% |
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 8,151 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,873 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,046 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,260 | 0.00% |

## Peers

Euronews holds its best segment rank, #165 of 490, in AI Security & Privacy / Problem-first research, at 0.79%. 88 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-security-privacy/problem_first

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #103 of 490 | [Cyberhaven.com](https://machinerelations.ai/index/domains/cyberhaven.com) | Vendor-owned source | 1.18% | +0.39 pts |
| #104 of 490 | [Cyber Press](https://machinerelations.ai/index/domains/cyberpress.org) | Other observed source | 1.18% | +0.39 pts |
| #105 of 490 | [Deepinspect.ai](https://machinerelations.ai/index/domains/deepinspect.ai) | Other observed source | 1.18% | +0.39 pts |
| #164 of 490 | [Elephas.app](https://machinerelations.ai/index/domains/elephas.app) | Other observed source | 0.79% | Same rate |
| #172 of 490 | [Gorgias.com](https://machinerelations.ai/index/domains/gorgias.com) | Vendor-owned source | 0.79% | Same rate |
| #306 of 490 | [Fortanix.com](https://machinerelations.ai/index/domains/fortanix.com) | Other observed source | 0.39% | -0.40 pts |
| #307 of 490 | [Foxcarolina.com](https://machinerelations.ai/index/domains/foxcarolina.com) | Other observed source | 0.39% | -0.40 pts |
| #308 of 490 | [Frameworkit.com](https://machinerelations.ai/index/domains/frameworkit.com) | Other observed source | 0.39% | -0.40 pts |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Euronews (euronews.com), 0.01% citation rate, 3 of 34,788 monitored answer runs, 2026-05-10 to 2026-11-01. Release mri_score_v2.1+2026-11-01+0542f5da373e. https://machinerelations.ai/index/domains/euronews.com. CC BY 4.0.

APA

Parrott, J. (2026). Euronews (euronews.com) in the Machine Relations Index (Version mri_score_v2.1+2026-11-01+0542f5da373e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/euronews.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrieuronewscom,
  author = {Parrott, Jaxon},
  title = {Euronews (euronews.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-01+0542f5da373e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/euronews.com},
  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/euronews.com/badge.svg

[![Euronews in the Machine Relations Index: 0.01% cited in monitored answer runs, 3 of 34,788 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/euronews.com/badge.svg)](https://machinerelations.ai/index/domains/euronews.com)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile, and the alt text says what the badge shows.

## 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)
- [Euronews on AuthorityTech's publication intelligence](https://authoritytech.io/publications/euronews) — part of the AuthorityTech publication intelligence projection. Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.
- [AuthorityTech publication intelligence projection](https://authoritytech.io/publications.md) — Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.