You already know that almost anyone — and machine-generated content, text or images made by AI tools — can publish online. Today you put that to work.
How do you turn a vague question into a search that gives you results worth reading?
A search box will answer almost anything you type. The quality of what comes back depends on the quality of what you ask.
Compare these two starting points on the same idea:
On a results page you will usually see three kinds of thing:
Your job is to choose terms on purpose, refine them when the page is noisy, and notice who paid to be there, not to take the first blue link as the best source.
Work in pairs on a device (or direct the teacher’s search from the board if devices are limited). You are hunting useful information, not shopping.
Class starting question (deliberately vague): “Do gaming headsets damage hearing?”
Be ready: in Make sense, three pairs will share one refined string, one ordinary result worth keeping, and one Sponsored/Ad tell. If the school filter hides ads and nothing on your page is labelled, say instead what a sponsored slot would look like and where on the page it would sit.
No-device fallback: the teacher runs the browser on the board. Pairs still write terms, call out refinements, and vote which results look sponsored before anyone opens a link.
Now apply the same habit to a topic you actually care about. Keep a short search log as you go.
Pick a topic from this menu, or choose your own school-appropriate idea:
Fill the log block:
Run both search strings, star one ordinary (organic) result that seemed most useful so far, and save the log the class way so you can reuse the topic when you compare sources next.
Three pairs share: one best refined string, one ordinary result worth keeping, and one Sponsored/Ad tell - or, where the filter hid the ads, what a sponsored slot would look like and where it would sit. Listen for what changed when terms got more precise, and what still looked paid-for.
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