Philosophy of Information

What it asks

A hard drive stores information. A gene carries information. A newspaper contains information. A signal has an information content measurable in bits.

Those uses are not obviously one concept. Shannon's theory in 1948 measures information as the reduction of uncertainty, and it is deliberately indifferent to meaning - a page of text and a page of random characters can carry identical information by that measure, and for engineering purposes that is exactly right.

But almost everything anyone wants to say about information concerns what it is ABOUT. Building a semantic notion on top of the quantitative one, without losing what made the quantitative one rigorous, is the field's founding problem.

The recurring problems

Quantity against meaning. Shannon's measure works and says nothing about content. Every attempt to add content has struggled to remain as precise.

The Bar-Hillel-Carnap paradox. On natural definitions of semantic information, a contradiction carries the maximum possible information, because it excludes every possibility. That is plainly the wrong result and it falls straight out of the definitions.

Whether information is in the world. A tree's rings carry information about its age whether or not anyone reads them. If that is genuine information, it exists without an observer. If it is not, then most talk of information in biology and physics is metaphor.

Misinformation. False information is not a kind of information in the way a false statement is a kind of statement, on most accounts - which makes the word we use for the central problem of the current information environment technically incoherent.

How it developed

Shannon's mathematical theory of communication in 1948 created the technical concept and explicitly set meaning aside as irrelevant to the engineering problem. That disclaimer was ignored almost immediately by everyone outside engineering.

Bar-Hillel and Carnap attempted a semantic theory in the 1950s and produced the paradox that bears their names.

Dretske's Knowledge and the Flow of Information in 1981 was the decisive philosophical move: it used an information-theoretic notion to analyse knowledge and perception, showing that the concept could do real epistemological work rather than merely being borrowed.

Floridi then argued for philosophy of information as a foundational field rather than a specialist one, organised around levels of abstraction - the idea that a question is only well posed once you say at what level of description it is being asked. That framing has been influential and is why this branch sits alongside the philosophy of technology rather than under it.

The positions within it

Quantitative and semantic theories of information; naturalist accounts on which information is an objective feature of correlations; pragmatic accounts on which it is relative to a user's purposes; informational structural realism, which treats structure as what there fundamentally is. All are in the Schools section.

Where it stands now

The field's centre of gravity has shifted to applied questions: privacy, informational harms, the epistemology of testimony at scale, and what it means to be entitled to believe anything in an environment optimised for engagement.

The theoretical work continues in the philosophy of biology, where whether genes really carry information is a live and consequential dispute, and in physics, where information-theoretic formulations of fundamental theory are taken seriously.