Grade by Grade
Media Studies · Media Studies: Critical Lenses, Platforms, AI and Responsible Production

The Political Economy of Platforms: Attention, Data, Advertising and Canadian Regulation

1.6About 75 minutes
Learning goals
  • I can explain the audience commodity, surveillance capitalism and real-time bidding.
  • I can analyze how creator-economy income and platform dependency shape content.
  • I can explain current Canadian law and policy affecting platforms, and use the propaganda model critically.

Words to know

audience commodity
Dallas Smythe's idea that commercial media sell audiences' attention to advertisers.
surveillance capitalism
Shoshana Zuboff's term for profiting from behavioural data used to predict and influence behaviour.
programmatic advertising
Automated buying and selling of ad space, often by real-time auction.
creator economy
The businesses and income streams of independent online creators.
platform dependency
Relying on one platform for audience or income.
propaganda model
Herman and Chomsky's model of filters that shape news in commercial systems.

Remember from Grade 11

In Grade 11 you followed the money through ownership (vertical and horizontal integration, media concentration), financing (funding stacks, licence fees), distribution windows and regulation, including Canada's Online Streaming Act and Online News Act (2023). You met the attention economy.

Grade 12 (expectation 1.6) asks you to explain with deepening understanding how production, marketing, financing, distribution and legal or regulatory factors shape the media industry. This lesson focuses on the business model of platforms: attention and data, advertising auctions, the creator economy and current Canadian policy.

Hook: the free ski app

An invented app, PowderDay, shows snow conditions at Ontario and Quebec ski hills. It's free, beautifully designed and has no subscription. It asks for your location to show nearby hills, your contacts to find friends and permission to send notifications. Who pays the designers, the servers and the snow reporters? An old saying in media studies goes: If you're not paying for the product, you are the product. This lesson tests whether that's true.

Audiences as a commodity

Canadian-born scholar Dallas Smythe argued in the 1970s that commercial media's main product is not the programs; it is the audience, whose attention is sold to advertisers. Programs are the free lunch that gathers the audience. This is the audience commodity.

Platforms push the idea further:

  • Attention economy: attention is scarce, so platforms compete for it with design and recommendations.
  • Surveillance capitalism: Shoshana Zuboff (The Age of Surveillance Capitalism, 2019) argues that platforms collect behavioural data, use it to predict (and increasingly influence) what people will do, and sell those predictions to businesses.
  • Programmatic advertising: automated systems auction ad space each time a page loads, using data about the viewer (real-time bidding).
Real-time bidding: an ad auction in a fraction of a second1. YOU OPENan app or page2. AD SPACEoffered with dataabout you3. BIDSadvertisers' systemsbid automatically4. WINNERhighest bid's adappearsData sent can include device, approximate location, pages visited and interests.You are not the customer here: advertisers are. Your attention is what is sold.Simplified; real auctions involve several intermediary companies.
In programmatic advertising, ad space is auctioned automatically each time a page or app loads, often using data about the viewer. This is the business model behind much free online media.

The creator economy

Creators are small media businesses. Common income streams: sponsorships (brand deals), platform ad revenue share, affiliate links (a commission on sales), memberships and subscriptions, tips and live gifts, merchandise, licensing. When much of the income comes from brands, sponsors gain influence over what creators say. When income depends on one platform, platform dependency means a single policy or algorithm change can wipe out a business.

Canadian law and policy (as of 2026)

  • Online News Act (2023): requires the largest digital platforms to compensate news outlets. Meta responded by blocking news on Facebook and Instagram in Canada from August 2023; the block was still in place in 2026, although the federal government said it was in talks with Meta. Google agreed to pay $100 million a year (indexed to inflation), distributed to news outlets through the Canadian Journalism Collective. The news block showed how dependent news outlets had become on platform distribution.
  • Online Streaming Act (2023): brings online streaming services under the Broadcasting Act. In 2024 the CRTC required large online streaming services to contribute 5 percent of their Canadian revenues to funds supporting Canadian and Indigenous content and local news. Several streaming companies challenged this in the Federal Court of Appeal, and the payments were paused while the case was heard. In June 2026 the federal government announced it would direct the CRTC to review and revise these rules and promised about $600 million a year in public funding for the sector, so the requirement is being reworked; check current sources for the latest status.
  • Online Harms Act: proposed in 2024 to regulate harmful content on platforms, it died when Parliament was prorogued in January 2025. The proposed Artificial Intelligence and Data Act (part of Bill C-27) died at the same time. In June 2026 the government introduced a new online-safety bill, Bill C-34 (the Safe Social Media Act), which would create a Digital Safety Commission and also covers AI chatbots. As of 2026, Canada had not passed a general AI law to replace AIDA.
  • Advertising disclosure: the Competition Bureau expects influencers to disclose material connections.
  • Privacy: private-sector data collection falls under federal privacy law (PIPEDA) and, in some provinces, provincial law.

A model for analysis: the propaganda model

In Manufacturing Consent (1988), Edward Herman and Noam Chomsky proposed that news in commercial systems passes through filters: ownership, advertising as the main source of income, reliance on official sources, flak (organized criticism), and a shared ideology (originally anti-communism). Critics argue the model underestimates journalists' independence and audience choice; supporters say it explains patterns of coverage. Use it as a set of questions, not a conspiracy theory.

Where an invented mid-sized creator's income comes fromsponsorships 45%platform ad share 25%affiliate links 15%memberships 10%merchandise 5%
An invented but typical income mix (45 + 25 + 15 + 10 + 5 = 100%). Over half comes from sponsors and affiliates, which gives brands influence over content even when the platform's ad share is small.
Worked example

Let's follow the money for PowderDay

Explain how financing, marketing, distribution and regulatory factors likely shape the invented free PowderDay app.

  1. Financing: no subscription, so likely income: advertising (ski gear, hotels, car brands), affiliate fees for lift-ticket bookings, possibly selling or sharing data about users' locations and habits, and investor money while it grows.
  2. Marketing: it asks for contacts to find friends, which turns users into marketers (growth through invitations).
  3. Production choices: notifications (Fresh powder at Blue Mountain!) bring users back, increasing ad views; the free design depends on attention.
  4. Distribution: it reaches users through app stores, which take a share of in-app sales and set rules, another gatekeeper.
  5. Regulation: under PIPEDA, the app must get meaningful consent for collecting personal information and explain its purposes; location data is sensitive. Any paid ski-hill promotions should be disclosed.
  6. Evaluate the saying: you are the product is partly true: users' attention and data are what advertisers pay for. It oversimplifies, because users also receive real value (snow reports), and some income may come from affiliate bookings rather than data.

PowderDay is probably financed by advertising, affiliate fees and data, marketed through users' contacts, distributed through app stores, and regulated by privacy and disclosure rules. You are the product is a useful but partial description: attention and data are sold, but users get value too.

Start with the revenue list

Before you analyze any free media, list every way it could make money. Then look for evidence of which ones it actually uses: privacy policies, about pages, ad labels and app permissions are evidence.

Just for fun

In the 1960s and 1970s, Canada worried that its TV would be swamped by American shows. In 2026 it's still debating the same problem; the only difference is that the American shows now arrive by app instead of by antenna.

Hands-on activity

Privacy-policy detective

You need: one free app or website your family uses, its privacy policy (with a grown-up's OK), paper and a highlighter.

  1. List every way the service could make money.
  2. Skim the privacy policy. Highlight: what data it collects, why, who it shares data with (look for partners, advertisers, third parties), and how to opt out.
  3. Check the app's permissions on your device. Which seem necessary for the service, and which don't?
  4. Decide which revenue sources the evidence supports.
  5. Write a 6-sentence analysis: how do financing and data shape this service's design? Is the trade worth it for your family?

Privacy note: don't change settings on someone else's device without permission.

What to look for: a full revenue list, evidence quoted from the policy, permissions judged sensibly, and an analysis that links money to design.

Your turn

1

What is Dallas Smythe's audience commodity?

2

What is surveillance capitalism, and who named it?

3

Explain real-time bidding in two sentences.

4

Name four creator income streams.

5

What is platform dependency?

6

How did Meta respond to the Online News Act?

7

Name the five filters of Herman and Chomsky's propaganda model.

More practice: warm-up

1

Which Canadian regulator applies the Online Streaming Act?

2

How much did Google agree to pay Canadian news outlets per year?

3

What happened to the proposed Online Harms Act?

4

What federal law covers private-sector data collection in Canada?

5

Add up the creator pie chart: do the slices make 100%?

More practice: on your own

1

Using the pie chart, what percent of the creator's income comes from brands (sponsorships plus affiliate links)? What does that suggest?

2

Explain how the Meta news block showed platform dependency for Canadian news outlets.

3

Apply the advertising filter to a local news site funded mostly by car-dealer ads.

4

Why might a streaming company object to the CRTC's 5 percent contribution?

5

Evaluate the saying If you're not paying for the product, you are the product for a public broadcaster such as CBC/Radio-Canada.

Challenge

1

Write a paragraph explaining how one industry factor (financing, marketing, distribution or regulation) shapes a media text you use. Show deepening understanding by connecting the factor to specific design or content choices.

2

Evaluate the propaganda model as a tool for analyzing Canadian news in 2026. Give one strength and one weakness.

3

Explain how surveillance capitalism and the attention economy could shape the design of a free mental-health app for teens. What questions should a user ask?

Check your understanding

Quiz

1.

Smythe's idea that commercial media mainly sell audiences' attention is the:

2.

Automated auctions of ad space each time a page loads are called:

3.

After the Online News Act, Meta:

4.

Which describes platform dependency?

5.

Which of these is one of Herman and Chomsky's filters?

6.

What happened to the Online Harms Act?

For parents and teachers

What this lesson teaches: explaining, with deepening understanding, how financing, marketing, distribution and legal and regulatory factors shape the media industry (1.6): the audience commodity (Smythe), surveillance capitalism (Zuboff), real-time bidding, the creator economy, Canadian policy (Online News Act, Online Streaming Act and the CRTC, the lapsed Online Harms Act and its 2026 successor, Bill C-34, PIPEDA) and the propaganda model (Herman and Chomsky). PowderDay and the creator income are invented.

How to help at home:

  • Read an app's privacy policy and permissions together.
  • Talk about which services your family pays for and which are free, and what the trade is.
  • Discuss where your family gets local news now.

Common difficulties:

  • **Treating free as free.** Ask what is exchanged.
  • Using the propaganda model as a conspiracy theory. It is a set of questions about structures.
  • Outdated policy facts. Canadian digital policy changes often; check the date of any source.