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"title": "US Attention Data",
"description": "Digital attention metrics tracking Wikipedia pageviews, Google Trends search interest, and GDELT global event coverage for United States-related topics throughout 2025.",
"version": "1.0.0",
"created": "2026-02-14",
"updated": "2026-02-14",
"author": {
"name": "Luke Steuber",
"email": "luke@lukesteuber.com",
"url": "https://lukesteuber.com",
"bluesky": "@lukesteuber.com"
},
"license": "MIT",
"keywords": [
"attention-metrics",
"wikipedia",
"google-trends",
"gdelt",
"pageviews",
"search-interest",
"media-coverage",
"digital-attention",
"us-politics",
"event-tracking",
"sentiment-analysis",
"time-series"
],
"categories": [
"Social Science",
"Media Studies",
"Data Journalism",
"Political Science",
"Digital Humanities"
],
"sources": [
{
"name": "Wikimedia REST API",
"url": "https://wikimedia.org/api/rest_v1",
"license": "CC0 Public Domain"
},
{
"name": "Google Trends",
"package": "pytrends",
"url": "https://github.com/GeneralMills/pytrends",
"license": "Apache 2.0 (package), Google TOS (data)"
},
{
"name": "GDELT 2.1 Doc API",
"url": "https://api.gdeltproject.org/api/v2/doc/doc",
"license": "Free for research and commercial use"
}
],
"stats": {
"total_files": 20,
"data_files": 10,
"metadata_files": 10,
"total_size_mb": 4.3,
"date_range": "2025-01-01 to 2025-12-31",
"geographic_coverage": "United States (primary), 44 countries (GDELT)"
},
"files": {
"data": [
"data/wikipedia_pageviews.json",
"data/wikipedia_trending.json",
"data/wikipedia_event_articles.json",
"data/trends_data.json",
"data/weekly_trends.json",
"data/gdelt_timeline.json",
"data/gdelt_weekly_events.json",
"data/events_unified.json",
"data/unified_data.json",
"data/weekly_attention_timeline.json"
],
"documentation": [
"README.md",
"LICENSE",
"dataset_index.json",
"dataset-metadata.json"
],
"notebooks": [],
"scripts": []
},
"usage": {
"python": "import json; with open('data/wikipedia_pageviews.json') as f: data = json.load(f)",
"pandas": "import pandas as pd; df = pd.read_json('data/trends_data.json')",
"huggingface": "from datasets import load_dataset; ds = load_dataset('lukeslp/us-attention-data')"
},
"visualizations": [
{
"title": "One-Year US Global Sentiment",
"url": "https://dr.eamer.dev/datavis/one-year",
"uses": "data/gdelt_timeline.json"
},
{
"title": "Trends 2025",
"url": "https://dr.eamer.dev/datavis/trends-2025",
"uses": "data/trends_data.json"
},
{
"title": "Wikipedia Attention Analytics",
"url": "https://dr.eamer.dev/datavis/wiki-attention",
"uses": "data/wikipedia_pageviews.json"
}
],
"citations": {
"bibtex": "@dataset{steuber2026attention,\n title={US Attention Data: Digital Attention Metrics from Wikipedia, Google Trends, and GDELT},\n author={Steuber, Luke},\n year={2026},\n publisher={GitHub/HuggingFace},\n url={https://github.com/lukeslp/us-attention-data}\n}",
"apa": "Steuber, L. (2026). US Attention Data: Digital Attention Metrics from Wikipedia, Google Trends, and GDELT. Retrieved from https://github.com/lukeslp/us-attention-data"
},
"publishing": {
"github": {
"repo": "lukeslp/us-attention-data",
"url": "https://github.com/lukeslp/us-attention-data"
},
"huggingface": {
"dataset": "lukeslp/us-attention-data",
"url": "https://huggingface.co/datasets/lukeslp/us-attention-data"
},
"kaggle": {
"dataset": "lucassteuber/us-attention-data",
"url": "https://www.kaggle.com/datasets/lucassteuber/us-attention-data"
}
}
}
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