Chart how one AI bill moved the news, with sources
A data desk can show the spike, the lag between news and search, and where the story was picked up, all from one file with sources.
How media teams use Superintelligence News
- Load the daily table and chart news share against search interest.
- Use the headlines table to show which outlets covered it and when.
- Cite GDELT, Google Trends and the primary sources listed in the sources table.
Headlines are a sample and belong to their publishers; the dataset says so.
daily, 20-24 Sep 2026: news % of monitored online news (GDELT), US search interest 0-100 (24 Sep partial)
| Date | News % "super intelligence" | News % "superintelligence" | Search "super intelligence" | Search "AI ban" | HN stories |
|---|---|---|---|---|---|
| 2026-09-20 | 0.007% | 0.026% | 4 | 11 | 0 |
| 2026-09-21 | 0.021% | 0.019% | 4 | 15 | 1 |
| 2026-09-22 | 0.169% | 0.061% | 65 | 13 | 6 |
| 2026-09-23 | 0.220% | 0.085% | 50 | 14 | 4 |
| 2026-09-24 | 0.140% | 0.159% | 24 | 14 | 2 |
Source: Superintelligence News daily table, build of 24 Sep 2026 (products/superintelligence-news/store/listing.json; HF dataset CyberMax-tools/superintelligence-ban-bill-coverage). Sources: GDELT, Google Trends (US), Hacker News (Algolia API).
FAQ
Can I publish charts from it?
Yes, under CC BY 4.0: credit "Superintelligence News by CyberMax" and the original sources.
Why not a media-monitoring service?
They cover every story for a monthly fee. This is one story, free and sourced.
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