Wikipedia economic-attention & fear signals
Monthly revealed-attention signals from English-Wikipedia pageviews (2015 ->): attention paid to economically revealing articles (Recession, Inflation, Unemployment, Great Recession, Stock market crash, Layoff), with 3-month momentum, 12-month change volatility, 3-sigma anomaly flags, drift forecasts, 5-year attention z-scores, attention-spike flags, and a composite economic-fear index (cross-article mean z-score) with high/extreme fear flags. The revealed-attention companion to us-consumer-sentiment-signals (stated sentiment) and crypto-fear-greed-signals (market-implied fear). All rows normalized to country_code WLD (global internet attention). Raw data: Wikimedia Foundation pageview statistics API.
Qualité
Attribution
Wikimedia Foundation pageview statistics; derived signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Month of observation (Wikimedia pageviews API timestamp, YYYY-MM-DD with day fixed to 01, monthly granularity). |
| country | string | |
| country_code | string | |
| series_id | string | WIKI_<ARTICLE> for the six tracked articles, or FEAR_INDEX for the composite economic-fear index. |
| series_label | string | Article tracked, e.g. 'Wikipedia pageviews: Recession (monthly)'; the composite is labeled as the cross-article mean of 5-year z-scored pageviews. |
| value | float | Monthly pageview count for the article on English Wikipedia (Wikimedia pageviews API, all-access, all-agents); for FEAR_INDEX, the cross-article mean of 5-year z-scored pageviews (index points). |
| momentum_3m | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| views_z_5y | float | |
| spike_flag | integer | |
| high_fear_flag | integer | |
| extreme_fear_flag | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | volatility_30d | anomaly_flag | forecast_1m | views_z_5y | spike_flag | high_fear_flag | extreme_fear_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-06-01 | World | WLD | FEAR_INDEX | Economic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews | -0.5031571352880647 | — | — | 0 | — | -0.5031571352880647 | 0 | 0 | 0 |
| 2020-07-01 | World | WLD | FEAR_INDEX | Economic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews | -0.8433255005830086 | — | — | 0 | — | -0.8433255005830086 | 0 | 0 | 0 |
| 2020-08-01 | World | WLD | FEAR_INDEX | Economic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews | -0.6294864317914918 | — | — | 0 | — | -0.6294864317914918 | 0 | 0 | 0 |
| 2020-09-01 | World | WLD | FEAR_INDEX | Economic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews | -0.7042763188508934 | -0.20111918356282865 | — | 0 | — | -0.7042763188508934 | 0 | 0 | 0 |
| 2020-10-01 | World | WLD | FEAR_INDEX | Economic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews | -0.537464891711686 | 0.3058606088713226 | — | 0 | — | -0.537464891711686 | 0 | 0 | 0 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
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
curl "https://datazimuts.com/v1/datasets/wiki_attention_signals/wiki_economic_attention_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/wiki_attention_signals/wiki_economic_attention_signals").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/wiki_attention_signals/wiki_economic_attention_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.