Initial release: CRED-1 v1.0 (2,672 domains)
Browse files- CODEBOOK.md +199 -0
- LICENSE +396 -0
- README.md +157 -0
- cred1_compact.json +0 -0
- cred1_current.csv +0 -0
- cred1_current.json +0 -0
- figures/cred1-domain-credibility-dataset-banner.jpg +3 -0
CODEBOOK.md
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| 1 |
+
# CRED-1 Codebook
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| 2 |
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| 3 |
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Version 1.0 — February 2026
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| 4 |
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| 5 |
+
This codebook documents all variables in the CRED-1 dataset. The dataset is distributed in three formats: a full JSON file, a CSV file for research analysis, and a compact JSON file for on-device embedding.
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## JSON Format (`cred1_current.json`)
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| 8 |
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| 9 |
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JSON object mapping domain names (string keys) to full metadata objects with all enrichment signals and score components.
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| 10 |
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| 11 |
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| Field | Type | Range | Description |
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| 12 |
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|---|---|---|---|
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| 13 |
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| `category` | string | `fake`,`unreliable`,`mixed`,`conspiracy`,`satire`,`reliable` | Full category name. See [Category Taxonomy](#category-taxonomy). |
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| 14 |
+
| `credibility_score` | float | 0.00-1.00 | Composite credibility score. Lower values indicate lower credibility. See [Scoring Model](#scoring-model). |
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| 15 |
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| `sources` | integer | 1-2 | Number of independent source lists that flag this domain. |
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| 16 |
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| `tranco_rank` | integer | 1-1,000,000 | Tranco Top-1M rank. **Optional** - absent if not ranked. |
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| 17 |
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| `domain_registered` | string | ISO 8601 | Domain registration date from RDAP. **Optional** - absent if RDAP lookup failed. |
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| 18 |
+
| `domain_age_years` | float | 0.0-35.0+ | Domain age in years, computed from `domain_registered`. **Optional**. |
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| 19 |
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| `iffy_factual` | string | `VL`,`L`,`M`,`MH`,`H`,`VH` | MBFC Factual Reporting rating. **Optional** - absent if not from Iffy.news. |
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| 20 |
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| `iffy_bias` | string | e.g. `FN`,`R`,`RC`,`C`,`LC`,`L` | MBFC political bias rating. **Optional**. |
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| 21 |
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| `iffy_score` | float | 0.0-1.0 | Iffy.news credibility score. **Optional**. |
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| 22 |
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| `factcheck_claims` | integer | 1+ | Google Fact Check Tools API claim count. **Optional** - absent if zero. |
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| 23 |
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| `safe_browsing_flagged` | boolean | `true`/`false` | Google Safe Browsing threat flag. **Optional**. |
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| 24 |
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| `score_cat` | float | 0.0-1.0 | Category-based score component. |
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| 25 |
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| `score_iffy` | float | 0.0-1.0 | Iffy.news score component. |
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| 26 |
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| `score_tranco` | float | 0.0-1.0 | Tranco rank score component. |
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| 27 |
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| `score_age` | float | 0.0-1.0 | Domain age score component. |
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| 28 |
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| `score_factcheck` | float | 0.0-1.0 | Fact-check frequency score component. |
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| 29 |
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| `score_safebrowsing` | float | 0.0-1.0 | Safe Browsing score component. |
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### Example
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| 32 |
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| 33 |
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```json
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{
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"infowars.com": {
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"category": "fake",
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"credibility_score": 0.14,
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| 38 |
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"domain_age_years": 26.4,
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| 39 |
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"domain_registered": "1999-10-04T04:00:00Z",
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"factcheck_claims": 52,
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| 41 |
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"iffy_bias": "FN",
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| 42 |
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"iffy_factual": "VL",
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| 43 |
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"iffy_score": 0.1,
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| 44 |
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"score_age": 0.2,
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| 45 |
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"score_cat": 0.05,
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| 46 |
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"score_factcheck": 0.0,
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| 47 |
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"score_iffy": 0.1,
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| 48 |
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"score_safebrowsing": 0.05,
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"score_tranco": 0.1,
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"sources": 2,
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"tranco_rank": 4382
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| 52 |
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}
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}
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```
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### Missing Values
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Optional fields are omitted entirely when unavailable. A domain *not present* in the dataset should be treated as **neutral/unknown** (not as reliable).
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| 60 |
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---
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| 61 |
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## CSV Format (`cred1_current.csv`)
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CSV file with the same fields as JSON, sorted by `credibility_score` ascending (least credible first).
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### Source Data Fields
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| Column | Type | Values / Range | Description | Source |
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| 69 |
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|---|---|---|---|---|
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| `domain` | string | e.g. `infowars.com` | Normalized domain name (lowercase, no `www.` prefix, no trailing slash) | Merged |
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| `category` | string | See [Category Taxonomy](#category-taxonomy) | Unified credibility category | Merged |
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| 72 |
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| `sources` | integer | 1-2 | Number of independent source lists that flag this domain. | Merged |
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| `iffy_factual` | string | `VL`, `L`, `M`, `MH`, `H`, `VH`, `` | MBFC Factual Reporting rating as provided by Iffy.news. Empty if domain is only in OpenSources. | Iffy.news |
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| `iffy_bias` | string | e.g. `FN`, `R`, `RC`, `C`, `LC`, `L`, `LEFT`, `` | MBFC political bias rating. Empty if not from Iffy.news. | Iffy.news |
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| `iffy_score` | float | 0.0–1.0, or empty | Iffy.news credibility score. Lower = less credible. Empty if not from Iffy.news. | Iffy.news |
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### Enrichment Signal Fields
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| Column | Type | Values / Range | Description | Source |
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|---|---|---|---|---|
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| `tranco_rank` | integer | 1–1,000,000, or empty | Position in the Tranco Top-1M list. Lower = more popular. Empty if domain not ranked. | [Tranco](https://tranco-list.eu/) |
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| `domain_age_years` | float | 0.0–35.0+, or empty | Years since domain registration (computed from RDAP registration date to dataset build date). Empty if RDAP lookup failed. | [RDAP](https://rdap.org/) |
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| `domain_registered` | string (ISO 8601) | e.g. `1999-03-07T05:00:00Z`, or empty | Domain registration date as returned by RDAP. Empty if unavailable. | RDAP |
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| `factcheck_claims` | integer | 0+, or empty | Number of fact-check claims found via Google Fact Check Tools API. Empty if zero or not queried. | [Google Fact Check Tools API](https://developers.google.com/fact-check/tools/api) |
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| `safe_browsing_flagged` | boolean | `True`, or empty | Whether Google Safe Browsing flagged this domain as malware or social engineering. Empty if not flagged. | [Google Safe Browsing API](https://developers.google.com/safe-browsing) |
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### Scoring Fields
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| Column | Type | Range | Description |
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|---|---|---|---|
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| `credibility_score` | float | 0.000–1.000 | Composite credibility score. See [Scoring Model](#scoring-model). |
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| `score_cat` | float | 0.0–1.0 | Category-based score component. |
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| 93 |
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| `score_iffy` | float | 0.0–1.0, or empty | Iffy.news score component. Empty if domain not from Iffy.news. |
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| `score_tranco` | float | 0.0–1.0, or empty | Tranco rank component (log-normalized). Empty if not ranked. |
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| `score_age` | float | 0.0–1.0, or empty | Domain age component (normalized, capped at 20 years). Empty if age unknown. |
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| `score_factcheck` | float | 0.0–1.0, or empty | Fact-check frequency component (log-scaled inverse). Empty if no claims. |
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| `score_safebrowsing` | string | `flagged`, or empty | Safe Browsing override indicator. If `flagged`, composite score is hard-capped at 0.05. |
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---
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## Compact Format (`cred1_compact.json`)
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Minimal JSON format for on-device embedding in browser extensions and mobile applications. Uses short keys and no whitespace for minimal file size (~168KB).
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| Key | Type | Description |
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|---|---|---|
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| `s` | float | Credibility score (same as `credibility_score`) |
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| `c` | string | Category code: `f`, `u`, `m`, `c`, `s`, `r` |
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| `n` | integer | Number of sources |
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| `r` | integer | Tranco rank (**optional**) |
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| `d` | string | Domain registration date as YYYY-MM-DD (**optional**) |
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### Example
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```json
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{"infowars.com":{"c":"f","d":"1999-10-04","n":2,"r":4382,"s":0.14},"theonion.com":{"c":"s","d":"1996-08-05","n":1,"r":7429,"s":0.34}}
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```
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---
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## Category Taxonomy
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Domains are classified into six categories based on consensus labels from OpenSources.co and Iffy.news. When a domain appears in both sources, the *lower credibility* category takes precedence.
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| Category | Code | Base Score | Definition |
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|---|---|---|---|
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| **fake** | `f` | 0.0 | Sources that fabricate information, publish deceptive content, or impersonate legitimate news outlets. |
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| **conspiracy** | `c` | 0.1 | Sources that consistently promote conspiracy theories not supported by evidence. |
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| **unreliable** | `u` | 0.2 | Sources that may publish some factual content but regularly fail basic standards of journalistic accuracy. Includes clickbait, junk science, and hate speech sources. |
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| **satire** | `s` | 0.3 | Sources that use humor, irony, or exaggeration. Not malicious, but content is not factual. |
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| **mixed** | `m` | 0.5 | Sources with a mixed track record — some factual reporting alongside biased, misleading, or unverified content. |
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| **reliable** | `r` | 1.0 | Sources generally considered reliable by fact-checking organizations. Note: CRED-1 contains very few reliable sources (n=8) as the upstream datasets focus on unreliable sources. |
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### OpenSources.co Category Mapping
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| Original Label | → CRED-1 Category |
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|---|---|
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| `fake`, `fake news` | fake |
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| `conspiracy` | conspiracy |
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| `unreliable`, `clickbait`, `junksci`, `hate`, `rumor` | unreliable |
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| `satire`, `satirical` | satire |
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| `bias`, `political`, `state` | mixed |
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| `reliable` | reliable |
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| `blog` | other |
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### Iffy.news Factual Rating Mapping
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| MBFC Factual Rating | → CRED-1 Category |
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| 149 |
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|---|---|
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| 150 |
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| VL (Very Low) | fake |
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| L (Low) | unreliable |
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| M (Mixed) | mixed |
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| MH (Mostly High) | mostly_reliable |
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| H (High), VH (Very High) | reliable |
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---
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## Scoring Model
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The composite credibility score is computed as a weighted blend of up to five signals:
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```
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S = 0.50 × s_cat
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+ 0.15 × s_iffy (if available)
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+ 0.15 × s_factcheck (if available)
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+ 0.05 × s_tranco (if available)
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+ 0.05 × s_age (if available)
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+ w_fill × s_cat (remaining weight)
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```
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Where `w_fill = 1.0 - sum(active weights)` fills in for missing signals using the category score.
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**Override:** If `safe_browsing_flagged = True`, the final score is hard-capped at 0.05 regardless of other signals.
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### Signal Normalization
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| 177 |
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| Signal | Formula | Interpretation |
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|---|---|---|
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| `s_cat` | Lookup table (see Category Taxonomy) | Category label → fixed score |
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| `s_iffy` | Raw Iffy.news score (already 0.0–1.0) | Lower = less credible |
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| 181 |
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| `s_tranco` | `1.0 - log10(rank) / 6.0`, clamped to [0, 1] | Rank 1 → 1.0, Rank 1M → 0.0 |
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| `s_age` | `min(1.0, age_years / 20.0)` | 0 years → 0.0, 20+ years → 1.0 |
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| `s_factcheck` | `max(0.0, 1.0 - log10(claims) / 1.7)` | 1 claim → 0.8, 50+ claims → 0.0 |
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---
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## Important Usage Notes
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1. **Absence ≠ reliable:** A domain *not* in the dataset should be treated as unknown/neutral, not as trustworthy. CRED-1 is a list of domains with known credibility issues.
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2. **Score = composite indicator:** The credibility score is an aggregated heuristic, not a ground truth. It should be used as one signal among many.
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3. **Temporal validity:** Domain credibility can change over time. CRED-1 v1.0 reflects the state of source data as of February 2026.
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4. **English-language bias:** The majority of domains in the upstream sources are English-language outlets. Coverage of non-English misinformation sources is limited.
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5. **No personal data:** The dataset contains only domain-level metadata. No personally identifiable information is included.
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---
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LICENSE
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Your exercise of the Licensed Rights is expressly made subject to the
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1. If You Share the Licensed Material (including in modified
|
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|
| 219 |
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|
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a. retain the following if it is supplied by the Licensor
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with the Licensed Material:
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|
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i. identification of the creator(s) of the Licensed
|
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Material and any others designated to receive
|
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attribution, in any reasonable manner requested by
|
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the Licensor (including by pseudonym if
|
| 227 |
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designated);
|
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|
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ii. a copyright notice;
|
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iv. a notice that refers to the disclaimer of
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warranties;
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|
| 236 |
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v. a URI or hyperlink to the Licensed Material to the
|
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+
extent reasonably practicable;
|
| 238 |
+
|
| 239 |
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b. indicate if You modified the Licensed Material and
|
| 240 |
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retain an indication of any previous modifications; and
|
| 241 |
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|
| 242 |
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c. indicate the Licensed Material is licensed under this
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hyperlink to, this Public License.
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| 246 |
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2. You may satisfy the conditions in Section 3(a)(1) in any
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reasonable manner based on the medium, means, and context in
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| 253 |
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|
| 255 |
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reasonably practicable.
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| 256 |
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|
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| 378 |
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| 379 |
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| 387 |
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Creative Commons may be contacted at creativecommons.org.
|
| 396 |
+
|
README.md
ADDED
|
@@ -0,0 +1,157 @@
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|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
tags:
|
| 6 |
+
- credibility
|
| 7 |
+
- misinformation
|
| 8 |
+
- disinformation
|
| 9 |
+
- fact-checking
|
| 10 |
+
- news-credibility
|
| 11 |
+
- domain-credibility
|
| 12 |
+
- media-bias
|
| 13 |
+
- information-integrity
|
| 14 |
+
- ai-safety
|
| 15 |
+
- content-moderation
|
| 16 |
+
task_categories:
|
| 17 |
+
- tabular-classification
|
| 18 |
+
- text-classification
|
| 19 |
+
size_categories:
|
| 20 |
+
- 1K<n<10K
|
| 21 |
+
pretty_name: "CRED-1: Open Multi-Signal Domain Credibility Dataset"
|
| 22 |
+
configs:
|
| 23 |
+
- config_name: default
|
| 24 |
+
data_files:
|
| 25 |
+
- split: train
|
| 26 |
+
path: cred1_current.csv
|
| 27 |
+
---
|
| 28 |
+
|
| 29 |
+
# CRED-1: Open Multi-Signal Domain Credibility Dataset
|
| 30 |
+
|
| 31 |
+
<p align="center">
|
| 32 |
+
<img src="figures/cred1-domain-credibility-dataset-banner.jpg" alt="CRED-1 Domain Credibility Dataset Banner" width="100%">
|
| 33 |
+
</p>
|
| 34 |
+
|
| 35 |
+
[](https://doi.org/10.5281/zenodo.18769460)
|
| 36 |
+
[](https://creativecommons.org/licenses/by/4.0/)
|
| 37 |
+
[](https://github.com/aloth/cred-1)
|
| 38 |
+
|
| 39 |
+
**CRED-1** is an open, reproducible domain-level credibility dataset combining multiple openly-licensed source lists with computed enrichment signals. It provides credibility scores for **2,672 domains** known to publish mis/disinformation, conspiracy theories, or other unreliable content.
|
| 40 |
+
|
| 41 |
+
## Key Features
|
| 42 |
+
|
| 43 |
+
- **2,672 domains** with credibility scores (0.0 to 1.0)
|
| 44 |
+
- **Fully reproducible** Python pipeline rebuilds the dataset from scratch (see [GitHub repo](https://github.com/aloth/cred-1))
|
| 45 |
+
- **Multi-signal scoring** combining source labels, domain age, web popularity, fact-check frequency, and threat intelligence
|
| 46 |
+
- **Privacy-preserving** designed for on-device client-side deployment (no server calls needed)
|
| 47 |
+
- **Two openly-licensed sources**, no proprietary data dependencies
|
| 48 |
+
|
| 49 |
+
## Quick Start
|
| 50 |
+
|
| 51 |
+
### Load with `datasets`
|
| 52 |
+
|
| 53 |
+
```python
|
| 54 |
+
from datasets import load_dataset
|
| 55 |
+
|
| 56 |
+
ds = load_dataset("xlth/CRED-1")
|
| 57 |
+
print(ds["train"][0])
|
| 58 |
+
# {'domain': '100percentfedup.com', 'category': 'mixed', 'credibility_score': 0.173, ...}
|
| 59 |
+
```
|
| 60 |
+
|
| 61 |
+
### Lookup a domain
|
| 62 |
+
|
| 63 |
+
```python
|
| 64 |
+
from datasets import load_dataset
|
| 65 |
+
|
| 66 |
+
ds = load_dataset("xlth/CRED-1", split="train")
|
| 67 |
+
lookup = {row["domain"]: row for row in ds}
|
| 68 |
+
|
| 69 |
+
domain = "infowars.com"
|
| 70 |
+
if domain in lookup:
|
| 71 |
+
print(f"{domain}: credibility = {lookup[domain]['credibility_score']}")
|
| 72 |
+
else:
|
| 73 |
+
print(f"{domain}: not in dataset (treat as neutral)")
|
| 74 |
+
```
|
| 75 |
+
|
| 76 |
+
## Dataset Schema
|
| 77 |
+
|
| 78 |
+
| Field | Type | Description |
|
| 79 |
+
|---|---|---|
|
| 80 |
+
| `domain` | string | Domain name (lowercase, no scheme) |
|
| 81 |
+
| `category` | string | Category from source lists (e.g. `fake`, `conspiracy`, `unreliable`, `mixed`, `clickbait`) |
|
| 82 |
+
| `credibility_score` | float | Aggregated credibility score (0.0 = least credible, 1.0 = most credible) |
|
| 83 |
+
| `sources` | int | Number of source lists the domain appears in |
|
| 84 |
+
| `iffy_factual` | string | Factual reporting rating from Iffy.news (VL, L, M, H, VH) |
|
| 85 |
+
| `iffy_bias` | string | Bias rating from Iffy.news (e.g. FN = fake news, CP = conspiracy) |
|
| 86 |
+
| `iffy_score` | float | Normalized Iffy score |
|
| 87 |
+
| `tranco_rank` | int | Tranco web popularity rank (1 = most popular) |
|
| 88 |
+
| `domain_age_years` | float | Age of the domain in years |
|
| 89 |
+
| `domain_registered` | string | ISO 8601 registration date |
|
| 90 |
+
| `factcheck_claims` | int | Count of fact-check claims targeting this domain |
|
| 91 |
+
| `safe_browsing_flagged` | bool | Whether Google Safe Browsing flagged this domain |
|
| 92 |
+
| `score_*` | float | Individual signal contributions to the aggregate score |
|
| 93 |
+
|
| 94 |
+
Full schema in [`CODEBOOK.md`](CODEBOOK.md).
|
| 95 |
+
|
| 96 |
+
## Files
|
| 97 |
+
|
| 98 |
+
- `cred1_current.csv` (~250 KB): Full dataset, recommended for `load_dataset` and the dataset viewer
|
| 99 |
+
- `cred1_current.json` (~1 MB): Same data as nested JSON with domain as key
|
| 100 |
+
- `cred1_compact.json` (~170 KB): Minimal `{domain: score}` mapping for lightweight on-device lookups
|
| 101 |
+
- `CODEBOOK.md`: Field definitions, scoring methodology, source provenance
|
| 102 |
+
- `figures/`: Project banner
|
| 103 |
+
|
| 104 |
+
## Intended Use
|
| 105 |
+
|
| 106 |
+
CRED-1 is designed for:
|
| 107 |
+
|
| 108 |
+
- **Browser extensions and on-device clients** that need fast, offline domain credibility lookups
|
| 109 |
+
- **Research on misinformation detection, news verification, and platform governance**
|
| 110 |
+
- **Pre-bunking pipelines** that flag suspicious sources before users engage
|
| 111 |
+
- **Educational and digital-literacy tooling**
|
| 112 |
+
|
| 113 |
+
## Limitations
|
| 114 |
+
|
| 115 |
+
- Coverage is concentrated on English-language misinformation sources
|
| 116 |
+
- The dataset captures domains, not individual articles; legitimate journalism on otherwise unreliable domains is not distinguished
|
| 117 |
+
- Source lists carry their own biases; consult [`CODEBOOK.md`](CODEBOOK.md) for provenance
|
| 118 |
+
|
| 119 |
+
## Citation
|
| 120 |
+
|
| 121 |
+
Canonical citation (Zenodo DOI for this dataset):
|
| 122 |
+
|
| 123 |
+
```bibtex
|
| 124 |
+
@dataset{loth_cred1_2026,
|
| 125 |
+
author = {Loth, Alexander and Kappes, Martin and Pahl, Marc-Oliver},
|
| 126 |
+
title = {{CRED-1}: An Open Multi-Signal Domain Credibility Dataset},
|
| 127 |
+
year = 2026,
|
| 128 |
+
publisher = {Zenodo},
|
| 129 |
+
version = {v1.0},
|
| 130 |
+
doi = {10.5281/zenodo.18769460},
|
| 131 |
+
url = {https://doi.org/10.5281/zenodo.18769460}
|
| 132 |
+
}
|
| 133 |
+
```
|
| 134 |
+
|
| 135 |
+
Accompanying preprint:
|
| 136 |
+
|
| 137 |
+
```bibtex
|
| 138 |
+
@article{loth_cred1_preprint_2026,
|
| 139 |
+
author = {Loth, Alexander and Kappes, Martin and Pahl, Marc-Oliver},
|
| 140 |
+
title = {{CRED-1}: An Open Multi-Signal Domain Credibility Dataset for Automated Pre-Bunking of Online Misinformation},
|
| 141 |
+
year = 2026,
|
| 142 |
+
journal = {SSRN Preprint},
|
| 143 |
+
doi = {10.2139/ssrn.6448466},
|
| 144 |
+
url = {https://ssrn.com/abstract=6448466}
|
| 145 |
+
}
|
| 146 |
+
```
|
| 147 |
+
|
| 148 |
+
## Links
|
| 149 |
+
|
| 150 |
+
- **GitHub (pipeline + raw sources):** https://github.com/aloth/cred-1
|
| 151 |
+
- **Zenodo archive (canonical):** https://doi.org/10.5281/zenodo.18769460
|
| 152 |
+
- **SSRN preprint:** https://doi.org/10.2139/ssrn.6448466
|
| 153 |
+
- **Blog post:** https://alexloth.com/cred-1-open-domain-credibility-dataset-preprint/
|
| 154 |
+
|
| 155 |
+
## License
|
| 156 |
+
|
| 157 |
+
CC BY 4.0. Free to use with attribution. See [`LICENSE`](LICENSE).
|
cred1_compact.json
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cred1_current.csv
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|
cred1_current.json
ADDED
|
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|
|
|
figures/cred1-domain-credibility-dataset-banner.jpg
ADDED
|
Git LFS Details
|