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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.

Source: Wikipedia Attention Signals (derived)879 lignesMis à jour: 22/09/2026
wikipediapageviewsattention-economicsfear-indexsentimentnowcastingrevealed-preferencemomentumanomaly-detectionforecastingsignals

Qualité

91.2

Attribution

Wikimedia Foundation pageview statistics; derived signals by Frontier Data Hub

Schéma

ColonneTypeDescription
datestringMonth of observation (Wikimedia pageviews API timestamp, YYYY-MM-DD with day fixed to 01, monthly granularity).
countrystring
country_codestring
series_idstringWIKI_<ARTICLE> for the six tracked articles, or FEAR_INDEX for the composite economic-fear index.
series_labelstringArticle tracked, e.g. 'Wikipedia pageviews: Recession (monthly)'; the composite is labeled as the cross-article mean of 5-year z-scored pageviews.
valuefloatMonthly 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_3mfloat
volatility_30dfloat
anomaly_flaginteger
forecast_1mfloat
views_z_5yfloat
spike_flaginteger
high_fear_flaginteger
extreme_fear_flaginteger

Exemple de lignes

datecountrycountry_codeseries_idseries_labelvaluemomentum_3mvolatility_30danomaly_flagforecast_1mviews_z_5yspike_flaghigh_fear_flagextreme_fear_flag
2020-06-01WorldWLDFEAR_INDEXEconomic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews-0.50315713528806470-0.5031571352880647000
2020-07-01WorldWLDFEAR_INDEXEconomic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews-0.84332550058300860-0.8433255005830086000
2020-08-01WorldWLDFEAR_INDEXEconomic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews-0.62948643179149180-0.6294864317914918000
2020-09-01WorldWLDFEAR_INDEXEconomic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews-0.7042763188508934-0.201119183562828650-0.7042763188508934000
2020-10-01WorldWLDFEAR_INDEXEconomic fear index: cross-article mean of 5-year z-scored Wikipedia pageviews-0.5374648917116860.30586060887132260-0.537464891711686000

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.

Wikipedia economic-attention & fear signals