Mike Elgan criticizes broken Google News search filters
Tech journalist Mike Elgan argues that Google News has significantly degraded in quality, comparing it to an abandoned boat left to crash into the dock while Google pursues AI features. Elgan highlights how essential search tools—such as date range limits, geographic region constraints, and language preferences—are increasingly ignored by the platform, returning social media posts, foreign-language content, and outdated articles instead of recent news from specified publishers.
Google's hyper-focus on generative AI is leading to severe neglect and quality degradation across its core legacy tools. Essential Google News filters for publication date, country, and language are systematically breaking and returning irrelevant results. Search quality is compromised as social media content increasingly overrides traditional news publishing sources. The shift in engineering priorities toward AI comes at the cost of maintaining basic utility and reliability in foundational web services.
DISCOVERED
1h ago
2026-08-01
PUBLISHED
2h ago
2026-08-01
RELEVANCE
AUTHOR
mikelgan