Metadata Harvesting Benefits, Risks, and Why “No Logs” Claims Fall Short
Metadata harvesting is the process of automatically collecting descriptive data about other data ... for example, timestamps, geolocation tags, device identifiers, access logs, and relationships between data assets without necessarily extracting the underlying content itself. The practice underpins many modern data systems, from scholarly search engines and enterprise data catalogs to large-scale surveillance and profiling systems.