| { | |
| "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" | |
| } | |
| } | |
| } | |