The best way to learn to spot a conspiracy theory is to make one yourself.
Pick a real news story. On the next step you'll choose who's behind it and why. Then walk through the four moves real conspiracists use, with a debunk on every step.
Choose whichever real-feeling headline your imagination will run wildest with. Don't overthink it.

A new international nature fund set up under the Global Environment Facility aims to help developing countries meet the biodiversity targets agreed at the COP15 summit in Montreal. The fund’s creation was one of the most-contentious issues at those talks, prompting walkouts and repeated negotiations between wealthy and poorer nations. So far, only Canada and the United Kingdom have pledged money, leaving roughly $40 million still needed to capitalise the fund ahead of COP16 next year.

A recent YouGov–Cambridge Globalism Project survey finds that voters in Western democracies are more divided by identity and partisan loyalty than by specific policy positions. Researchers describe strong "affective polarization": people feel intense dislike for opposing groups even when those groups often share similar views on key debates such as sexism, racism, and economic policy. The findings challenge the idea that culture wars are mainly about conflicting opinions; instead, much conflict appears driven by who people see as "us" versus "them."

Rolling Stone and Captiv8 published a feature identifying twenty marketing leaders they say are shaping the fast-growing creator economy. The article explains how marketers connect creators, brands, and audiences by promoting branded content and designing experiences that reach large online followings. As entertainment shifts from traditional media to creator-driven platforms, marketers are increasingly responsible for deciding which creators gain visibility and how brand partnerships enter cultural conversations.

Apple has filed a patent application that describes using motion sensing to detect lip and head movements so Siri could recognize commands without relying only on a microphone. The filing, titled "Keyword Detection Using Motion Sensing," explains how analyzing mouth shapes and subtle head motions might identify common phrases, which could help the assistant work better in noisy environments or avoid false activations from background speech.