My learning · Influence
Platform Tactics: Algorithms, Affiliates, and Tipsters
Map three layers of platform influence — in-app design, affiliate/tipster incentives, algorithmic personalization — plus data surveillance literacy (I3, I8).
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Overview
Self-paced study flow — not the projector or class assignment view. Read the pages, then complete the check when you are ready.
Ads get attention, but the steadier pressure is built into the product and the ecosystem around it: the in-app feed, the affiliates and "tipsters" pushing picks, and the algorithms quietly personalizing what each user sees.
This lesson maps that machinery so you can help students recognize influence that doesn't look like an ad at all.
Outcomes
- Explain affiliate and tipster incentive structures (paid per sign-up/bet, not user winning).
- Describe survivorship bias in social and in-app feeds.
- Identify in-app design nudges beyond paid ads.
- Name how behavioral data fuels personalized odds, VIP targeting, and bonus-as-bait offers.
Shortcut
Skip the pages and try the 6-question check now. You can come back to study any time.
Test out — try the checkSee the classroom version learners will use in class.
Preview student study flowReady to teach?
Presentation mode, printable aides, and student preview live on the class teach view — open from Classes when you are ready to deliver.
Next in this unit · Influence Unit
Then we keep stacking the unit.
When you wrap this lesson and the check, your next move is "Peer Pressure Math: Norms vs Reality".