Weekly cross-platform attention metrics for tracking how much the world pays attention to the United States. Combines Wikipedia pageviews, GDELT global event mentions, and Google Trends search interest from 2020-2025.

I built this dataset for the one-year visualization project, which maps US global sentiment over time. Part of the Data Trove collection.

Total: ~4.2 MB

import json

with open("wikipedia_pageviews.json") as f:
    pageviews = json.load(f)

# Weekly attention across all sources
with open("weekly_attention_timeline.json") as f:
    timeline = json.load(f)

const pageviews = await d3.json("wikipedia_pageviews.json");
const gdelt = await d3.json("gdelt_weekly_events.json");

• Tracking how global attention to the US shifts over time
• Correlating media events with Wikipedia traffic and search interest
• Identifying seasonal attention patterns (elections, holidays, crises)
• Building composite attention indices from multiple independent signals

• GitHub: lukeslp/us-attention-data
• Kaggle: lucassteuber/us-attention-data
• HuggingFace: lukeslp/us-attention-data

• one-year visualization -- the viz this data powers
• Data Trove -- full dataset catalog
• lukesteuber.com -- portfolio

Luke Steuber · lukesteuber.com · @lukesteuber.com

MIT. See LICENSE.

Data sourced from Wikipedia (CC BY-SA), GDELT (open), and Google Trends (fair use for research).