Metadata Princess is a flat but foldable screen-paper, tabloid size, that runs a powerful search-and-gather AI that culls from the most relevant and interdisciplinary contexual materials for any given input. The search archive consists of all known human cultural production, in digitized form.
The sheet interface, both in a stack and as a single sheet on a flat surface. In this future, these sheets are as freely available in schools, libraries, and similar public spaces.
One presses their hand to the screen to load a complex and I.D.-ingrained profile of interests. This has been compiled over many years through passive data mining and bio-surveillance.
Then the launch screen: a question mark for search terms, an arrow for searches beginning with a user upload, and on the right a column of trending/important news items.
One selects the first news item by tapping.
The option expands to show...
We've landed on Mars!
What a miracle...
The headline screen minimizes, revealing unlabeled icons representing the contextual items that Metadata Princess as found and curated out of the archive.
The icons grow labels, and to see the materials...
One brings more sheets, onto which content is intelligently projected by tap. Projected items remain tethered to their original icon by a holographic line.
All these items propagated out to separate sheets, which can then be read at leisure.

For the Mars Landing story, relevant items include:

Sheets can be tesselated for a larger workspace.
Search results and propagated materials can be pushed to one sheet for storage/transport.
The sheet can then be folded, like the paper of olden times.
Metadata Princess is a search platform that allows for any piece of information to be expanded into a file contextual materials that makes the thing make sense.

Wouldn't it be nice if we could, for once, be given an intelligent context for the news in the same moment we encountered it?