Open-source media monitoring
Mediacloud
News-corpus access for tracking how stories travel across outlets.
Research and data
DriveAwareness ingests, mirrors, and publishes public data. Researchers, institutions, and editorial partners can plug in — and contribute back.
For the verification standard behind every published signal, see our methodology.
Data sources
Open-source media monitoring
News-corpus access for tracking how stories travel across outlets.
Global event database
Cross-language news and event extraction for coverage-gap analysis.
Search interest signal
Regional and temporal interest as one input to attention-economics tracking.
Ad transparency archives
Sponsor, run dates, targeting basics. Documented in detail on /community/ad-transparency.
FOIA-style civic data
Mirrored where licenses permit; transformed into source-traceable records on this site.
Verified public reports
Inbound from /community/report. Verified before publication; pseudonyms supported.
Endpoints
Read-only public APIs are open. Researcher endpoints — higher rate limits, fuller history, additional fields — require a key. Email info@driveawareness.org with your institution and a one-line description of the work.
/api/signalsRecent verified signals with domain, location, and summary. Read-only, no auth required.
/api/ads-transparencyCross-platform ad-archive search and aggregation. Researcher access requires a key.
/api/narrative-dataAggregated coverage-trend signals across outlets and topics. Researcher access requires a key.
Collaboration
Joint working papers and peer-reviewed articles. We bring source-traceable data and methodology; partners bring domain expertise and institutional review.
For published cases, we publish a replication kit: data, transformation steps, and the methodology that produced the conclusion. Anyone can run it.
Witness data is anonymized at ingestion. No personally-identifying information is shared with research partners without explicit consent and IRB approval.
Semester-length investigative engagements with university programs. Students contribute under supervision; the academic partner anchors review.
We work best with partners who already have a question and want traceable data to test it against. The first conversation is short and concrete: what are you asking, what data would settle it, and what do we need from each other.