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Methodology & data sources

How the comparison works.

The site compares coverage across a defined set of news outlets and keeps source provenance visible. Rankings and comparisons describe that source set—not what an entire country or population thinks.

Sample

Country labels show where an outlet is based.

They help organize reporting geographically, but they are never treated as national public opinion.

Ranking

Story order reflects coverage breadth and recency.

Events are prioritized using outlet breadth, source-country breadth, bounded article volume, and recency. Rank is not a claim about objective importance.

Comparison

Attention Gap compares outlet coverage breadth.

For matched events, it compares the share of international outlets covering the story with the share of U.S. outlets covering it. It does not measure audience interest, ideology, sentiment, or public opinion.

Interpretation

The site avoids national-opinion claims.

Reader-facing language describes patterns among sampled outlets. A headline or framing choice from one publisher is not presented as “what a country thinks.”

Data and discovery

ATW uses the GDELT Project as its primary foreign-news metadata and discovery source. GDELT publishes global news-derived datasets that ATW uses for provenance and deterministic analysis. GDELT's data rights do not transfer copyright or other rights in the underlying publisher articles.

ATW also maintains selected direct publisher RSS feeds for controlled comparison and fallback use. A feed being publicly accessible is not treated as blanket permission for commercial republication or automated reuse.

Publisher content

ATW is designed to rely primarily on provenance, event-level analysis, source counts, and other derived measurements rather than reproducing publisher content. Full article text and publisher images are not part of the default product model.

Publisher names and links identify the reporting source. Linked reporting remains with its respective publisher, and inclusion in ATW does not imply partnership, sponsorship, affiliation, or endorsement.

How the pipeline works

ATW normalizes and deduplicates source records, groups likely reports of the same event, ranks events using deterministic sample-attention rules, compares wording and source-country evidence, matches sampled foreign events to sampled U.S. coverage, and calculates the Attention Gap.

The core ranking and matching pipeline is deterministic code rather than an opaque AI ranking. Future AI-assisted features must follow the same source-rights and provenance rules.