Przegldam

Przegldam is a term used in speculative discourse to describe a method of rapidly surveying large bodies of information and then focusing on areas of interest for in-depth analysis. It is presented as a cross-disciplinary approach that blends concepts from data visualization, rapid reading, and narrative synthesis. The central idea is to obtain a panoramic view of a dataset or corpus while preserving the ability to drill down into specific items.

The word is a neologism with debated origins. In circulation, it has been linked to discussions about information overload in digital humanities and media studies from the late 2010s onward. Some accounts treat it as a blend of a Polish verb meaning “to browse” with data-analytic terminology, while others describe it as a standalone coined concept without a fixed linguistic lineage.

Methodology typically comprises three phases: browse, map, and drill. In the browse phase, users skim summaries or visual cues to identify themes and outliers. The map phase builds an interconnected representation—such as a conceptual atlas or graph—that links topics, sources, and temporal markers. The drill phase selects specific items for deeper examination, annotation, or synthesis into a narrative or report.

Applications are described across data journalism, scholarly research, and education. Proponents argue that Przegldam helps manage cognitive load and accelerates insight, while critics warn against over-reliance on summaries and potential bias in what is prioritized during the mapping phase.