GDELT global-news theme attention (daily)
Daily enrichment signals scoring which themes dominate each country's news. Each day the 96 keyless GDELT 2.1 GKG fifteen-minute bulk files for the last complete UTC day are downloaded; articles are deduplicated on URL, attributed to one country (first country-level V2ENHANCEDLOCATIONS entry, FIPS 10-4 code resolved to ISO alpha-3), and their V1THEMES topic codes are aggregated per (country, theme) with GDELT's own per-article V1.5TONE scores. Per country-theme cell: n_articles, n_sources, mean_tone, pos_share / neg_share (fraction of articles with tone >= 1.0 / <= -1.0), theme_share_pct (cell articles over the country's themed articles; shares sum above 100 because articles carry several themes), theme_rank (per country, n_articles desc, theme asc), attention_score = 100 * (50% global min-max of n_articles + 50% global min-max of theme_share_pct; 100 = the day's most-attended cell worldwide), and theme_concentration (per-country Herfindahl of theme shares, 0-10000; high = a few themes dominate). Who joins this: a media analyst joins daily country theme attention to the gdelt event/conflict tables on country_code + as_of; a comms team tracks a theme's salience per market. Primary key: (as_of, country_code, theme); join keys: country_code (ISO alpha-3), as_of, theme. Nullability: none — every column is populated for every kept cell.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 33 869
- Colonnes
- 14
- Cadence de la source
- Quotidienne
- Dernière actualisation
- 28 sept. 2026
- Thème
- news
| Colonne | Type | Description |
|---|---|---|
| as_of | string | Snapshot date (UTC, YYYY-MM-DD) — the complete UTC day whose 96 GKG slots were collected. Part of the primary key. (unit: date) |
| country_code | string | Article-attribution country, ISO alpha-3, from the first country-level V2ENHANCEDLOCATIONS geocode (FIPS 10-4 resolved via the audited crosswalk). Part of the primary key; the join key for country tables. (unit: ISO alpha-3) |
| country_name | string | Canonical English short name for country_code. (unit: text) |
| theme | string | GDELT V1THEMES topic code (e.g. TAX_FNCACT, ECON_INFLATION, LEADER). Part of the primary key. (unit: code) |
| n_articles | integer | Number of distinct GDELT articles (URL- deduplicated within the day) attributed to the country and carrying the theme. (unit: count) |
| n_sources | integer | Number of distinct publisher domains behind the cell's articles. (unit: count) |
| mean_tone | float | Mean of GDELT's per-article V1.5TONE tone values (roughly [-10, 10]; positive is favorable). (unit: score) |
| pos_share | float | Fraction of the cell's articles with tone >= 1.0. (unit: share) |
| neg_share | float | Fraction of the cell's articles with tone <= -1.0. (unit: share) |
| theme_share_pct | float | 100 * cell n_articles / the country's total themed articles. Shares sum above 100 within a country because articles carry several themes. (unit: percent) |
| theme_rank | integer | Per-country theme rank: 1 = most articles; ties broken by theme code ascending. (unit: rank) |
| attention_score | float | 0-100 composite: 50% global min-max of n_articles + 50% global min-max of theme_share_pct. 100 = the day's most-attended theme-country cell worldwide. (unit: score) |
| theme_concentration | float | Per-country Herfindahl index (0-10000) of the theme shares renormalized to sum to 100 (raw shares sum above 100 because articles carry several themes); high values mean a few themes dominate that country's news day. (unit: index) |
| row_hash | string | Deterministic 16-hex-char hash of (as_of, country_code, theme, n_articles, mean_tone) for change detection. (unit: hash) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| as_of | country_code | country_name | theme | n_articles | n_sources | mean_tone | pos_share | neg_share | theme_share_pct | theme_rank | attention_score | theme_concentration | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-09-27 | AFG | Afghanistan | TAX_FNCACT | 96 | 70 | -4,251 | 0,177 | 0,76 | 94,118 | 1 | 48,32 | 85,46 | 6f78cf9a58fa223d |
| 2026-09-27 | AFG | Afghanistan | TAX_WORLDLANGUAGES | 84 | 61 | -4,822 | 0,155 | 0,786 | 82,353 | 2 | 42,27 | 85,46 | 8a26d0cc871750af |
| 2026-09-27 | AFG | Afghanistan | CRISISLEX_CRISISLEXREC | 74 | 59 | -5,662 | 0,095 | 0,851 | 72,549 | 3 | 37,23 | 85,46 | a0e15a7bede5448c |
| 2026-09-27 | AFG | Afghanistan | EPU_POLICY | 74 | 60 | -5,051 | 0,081 | 0,865 | 72,549 | 4 | 37,23 | 85,46 | f85d387ff1cb6908 |
| 2026-09-27 | AFG | Afghanistan | TAX_WORLDLANGUAGES_AFGHAN | 74 | 54 | -5,096 | 0,149 | 0,811 | 72,549 | 5 | 37,23 | 85,46 | 8d65f84b20292e84 |
| 2026-09-27 | AFG | Afghanistan | ARMEDCONFLICT | 67 | 55 | -6,88 | 0 | 0,985 | 65,686 | 6 | 33,7 | 85,46 | 2b849b2afd849a75 |
| 2026-09-27 | AFG | Afghanistan | GENERAL_GOVERNMENT | 62 | 52 | -5,27 | 0,065 | 0,887 | 60,784 | 7 | 31,18 | 85,46 | db11dc4f9d75130f |
| 2026-09-27 | AFG | Afghanistan | TAX_TERROR_GROUP | 59 | 47 | -6,293 | 0,034 | 0,915 | 57,843 | 8 | 29,67 | 85,46 | dd1537c80b2d3adf |
| 2026-09-27 | AFG | Afghanistan | KILL | 58 | 52 | -6,623 | 0,034 | 0,948 | 56,863 | 9 | 29,16 | 85,46 | 57189024b63164a5 |
| 2026-09-27 | AFG | Afghanistan | EPU_POLICY_GOVERNMENT | 57 | 47 | -5,328 | 0,07 | 0,877 | 55,882 | 10 | 28,66 | 85,46 | dcf8b7b8dbfb5889 |
Profilé le 28 sept. 2026 à partir de l’instantané 20260928T054847Z-78c4b1361a6c
Mesuré- Complétude
- 100 %
- Lignes
- 33 869
- Colonnes
- 14
- Colonnes incomplètes
- 0
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| as_ofvarchar | 0 % | 1 | — |
|
| country_codevarchar | 0 % | 186 | — |
|
| country_namevarchar | 0 % | 166 | — |
|
| themevarchar | 0 % | 2 778 | — |
|
| n_articlesbigint | 0 % | 710 | 3 → 3 688médiane 7 | 339 hors du 1er–99e centile |
| n_sourcesbigint | 0 % | 619 | 1 → 1 432médiane 6 | 339 hors du 1er–99e centile |
| mean_tonedouble | 0 % | 8 647 | -14,91 → 11,32médiane -1,36 | 668 hors du 1er–99e centile |
| pos_sharedouble | 0 % | 706 | 0 → 1médiane 0,154 | |
| neg_sharedouble | 0 % | 1 092 | 0 → 1médiane 0,565 | |
| theme_share_pctdouble | 0 % | 4 176 | 0,072 → 100médiane 4,27 | 597 hors du 1er–99e centile |
| theme_rankbigint | 0 % | 2 351 | 1 → 2 045médiane 187 | 651 hors du 1er–99e centile |
| attention_scoredouble | 0 % | 2 342 | 0 → 94,32médiane 2,33 | 597 hors du 1er–99e centile |
| theme_concentrationdouble | 0 % | 176 | 43,77 → 5 313médiane 67,77 | 317 hors du 1er–99e centile |
| row_hashvarchar | 0 % | 27 966 | — |
|
- Actuelle
20260928T054847Z-78c4b1361a6c · sha256 78c4b1361a6c…
33 869 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/gdelt_theme_signals/gdelt_theme_attention_daily" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/gdelt_theme_signals/gdelt_theme_attention_daily").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/gdelt_theme_signals/gdelt_theme_attention_daily
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20260928T054847Z-78c4b1361a6c et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
GDELT global-news theme attention (agent-curated). (2026). GDELT global-news theme attention (daily) [Data set, snapshot 20260928T054847Z-78c4b1361a6c, sha256 78c4b1361a6c]. Datazimuts. Retrieved 2026-09-28, from https://datazimuts.com/fr/datasets/gdelt_theme_signals/gdelt_theme_attention_daily?snapshot=20260928T054847Z-78c4b1361a6c
@misc{dz_gdelt_theme_signals_gdelt_theme_attentio_78c4b136,
title = {{GDELT global-news theme attention (daily)}},
author = {{GDELT global-news theme attention (agent-curated)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/gdelt_theme_signals/gdelt_theme_attention_daily?snapshot=20260928T054847Z-78c4b1361a6c}},
note = {Snapshot 20260928T054847Z-78c4b1361a6c, sha256 78c4b1361a6c901ff0777fcfe073ace9171f8b3c12db47ade53c907331dabbef; accessed 2026-09-28}
}Intégrer un tableau ou un graphique
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<iframe src="https://datazimuts.com/embed/chart?dataset=gdelt_theme_signals%2Fgdelt_theme_attention_daily&lang=fr&theme=auto&snapshot=20260928T054847Z-78c4b1361a6c&x=as_of&y=n_articles&agg=avg" title="GDELT global-news theme attention (daily)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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