You will be able to name the forms AI-made misinformation takes and why it spreads.
Hafiz is in eleven WhatsApp groups: family, old classmates, his condo, his badminton kakis, his son's school parents. On a typical evening at least one of them shares something alarming. A video of a flood said to be in Bedok. A screenshot of a "new MOH advisory". A long message about a supermarket that's apparently closing all its branches next month. Most of it is forwarded with "Not sure if true, but just sharing".
That phrase is how false information travels. This lesson explains how AI has made it cheaper to produce, and why it spreads anyway, so you can recognise the forms it takes before you pass it on.
Making a convincing false story used to take effort. Someone had to write it, find or fake a photo, and set up a website that looked real. That limited how much of it there was.
AI tools have removed most of that effort. A language model can write a plausible news article, in any style and any language, in seconds. An image generator can produce a photo of an event that never happened. A whole fake news site, complete with dozens of articles, author names and a professional design, can be put together quickly and cheaply. The same message can be rewritten a hundred ways so it doesn't look copied, and translated into Malay, Chinese and Tamil for different audiences.
None of this makes each fake better than a human could do. It makes them plentiful. When false content is cheap, there's more of it, and your feeds and chat groups are where it ends up.
There's a second way AI adds to the problem, and it catches careful people. Assistants sometimes invent things: quotes nobody said, studies that were never published, statistics with no source, and links that lead nowhere or to unrelated pages. They do this fluently, in the same confident tone they use for true statements.
AI fundamentals: what it is, how it works, where it fails explains why in lesson 6.1, Why a fluent answer can still be false. The short version is that a language model predicts plausible text, and a plausible citation looks like a real one.
So treat a citation from an assistant as a lead to follow up. If Hafiz asks an assistant whether the supermarket is closing and it replies with a quote from "a company spokesperson speaking to The Straits Times", he still knows nothing until he finds that article himself, and quite often there's no such article.
This matters at work as well as at home. A report that cites a study an assistant invented can embarrass you in front of a client, and the same habit of checking applies.
False content doesn't spread only because it's plentiful. It spreads because of how it makes people feel.
Posts that make you angry, frightened or outraged get shared more than calm ones. A flood video stirs worry for relatives in Bedok. A fake health advisory triggers fear for your children. A claim that some group is getting special treatment makes people angry. In each case, the feeling arrives before any thought about whether it's true, and the share button is right there.
People who create false content know this, and AI lets them test many versions to see which provokes the strongest reaction. So treat a strong emotional reaction as a cue. When something makes you angry or afraid, that's the moment to slow down and check, before you forward it.
Hafiz now has a simple habit. If a forward makes his stomach tighten, he waits and checks before sharing, and if he can't check it, he doesn't share it.
Singapore has a law aimed at online falsehoods, the Protection from Online Falsehoods and Manipulation Act, usually called POFMA. Under it, the government can direct that a correction be placed alongside a false statement of fact, or in some cases that it be taken down, where doing so is in the public interest. You may have seen a correction notice attached to a post or an article.
POFMA is a tool for specific cases the government decides to act on. Most false posts never reach that point. The forwarded supermarket rumour in Hafiz's condo group, the misleading flood video, the invented quote in a family chat: almost none of these will ever get a correction notice, so the checking falls to the people reading them, which includes you.
The good news is that checking doesn't need special tools or training. Lessons 6.2 and 6.3 give you two methods that take a few minutes each.
Before then, go back to your own feeds or chat groups. Somewhere in the last week there's probably a claim that spread widely, and it's worth asking where it actually came from.
Find one recent viral claim in your feeds or chat groups and note who first posted it and what source it gave.
Junxiong-WFG Organisation is an authorised representative of AIA Financial Advisers Private Limited (Reg. No. 201715016G).