AI governance
Who decides what AI systems will and will not say. We track alignment policy, classifier behavior, and the gap between published model rules and observed model behavior.
AI-mediated moderationThe work
What we're investigating.
DriveAwareness investigates three threads at once: how AI shapes what surfaces, how attention and money distort the record, and how information gets quietly removed from public view.
Stories with receipts live on the blog. Patterns we keep seeing are catalogued in methods. Tips and witness logs come in through the public intake.
Current focus
Three threads, one record.
Narrative economics
Where attention, advertising, and policy compress public attention into a narrow band. We follow ad spend, platform algorithm changes, and the funding cycles that quietly shape coverage.
Ad transparency hubSuppression mechanisms
The patterns — institutional, algorithmic, financial — that move information out of view. Eight documented categories, growing as we file more cases.
Methods we trackEditorial standards
How we file.
- Source-traceable
- Every claim carries provenance. If we can't show where it came from, we don't publish it.
- Independent
- No ideological or commercial sponsors influence what we file. Funding sources are disclosed.
- Public record
- We track institutions, platforms, and patterns — not individuals. Privacy by design.
Sitting on a story the system has refused to surface?
We accept witness logs, ad-transparency tips, and case artifacts. Pseudonyms allowed. We verify, we redact, we publish with receipts.