Why multi-market newsrooms choose Dataminr for breaking news detection
An AI system that watches thousands of public feeds at once has become a key tool for editors trying to stay ahead of emergencies.
Z. Waite is a journalist, researcher, and current graduate student at the UC Berkeley School of Journalism, where they report on artificial intelligence and study the impact of new technologies on the news industry.

An AI system that watches thousands of public feeds at once has become a key tool for editors trying to stay ahead of emergencies.

A distributed local news network swapped one reporter’s single police scanner for an AI system that spots breaking news across the country in real time.

An AI alerting system promises to surface emergencies faster than any human can scroll, but newsrooms still shoulder the burden of verification and ethical use.

A hyperlocal network built on speed now relies on AI-powered alerts to spot fires, crashes and crises across 1,900 communities.

The customer data platform delivers real results but consolidates reader information in ways that demand careful due diligence.

Six months, dedicated technical resources, and executive buy-in. Here's what The Post and Courier's churn reduction actually required.

A customer data platform built for media organizations helps newspapers consolidate scattered reader information, reduce churn, and personalize content without enterprise-level technical teams.

The Charleston, S.C., daily collapsed scattered audience data into BlueConic profiles, then used behavioral targeting to keep paying readers.

Before implementing TollBit, publishers need answers about data handling, retention policies, and GDPR compliance.

TollBit charges AI companies for bot access. ProRata shares ad revenue from AI answers. Which model generates income faster for publishers facing extraction?
