Hult Masterclass · 22 October 2026

The Attention
Trap

Meta, minors and the business of addiction: how platforms engineer your attention, why it pays, and who should stop it.

Psychology Economics Politics

Maxted Neal

Estimate · 1 min

Two apps, how much of your day?

From the chat

Outcomes

By the end of this masterclass

You will answer in the chat at every step, and take a side at the end.

1

Explain how four psychological effects capture attention.

2

Identify the platform feature that uses each effect.

3

Explain why more of your time earns a free app money.

4

Evaluate whether governments should ban addictive design for under-18s.

Session map

Three lenses in twenty minutes

Now

Psychology: four effects, and the features built on them.

Effect 1 · Predict and reveal · 1 min

Intermittent reinforcement

Effect 1 in the app · The endless feed

The endless feed pays out at random

A schematic drawing, not a screenshot of a real app. Sources: Montag, Lachmann, Herrlich and Zweig (2019), section 3.1; Amirthalingam and Khera (2024).

Effect 2 · Predict and reveal · 1 min

Social reward

Effect 2 in the app · The Like button

Every Like is a small social reward

A schematic drawing. Sources: Montag et al. (2019), section 3.5, citing Sherman et al. (2016); Amirthalingam and Khera (2024).

Effect 3 · Predict and reveal · 1 min

Social comparison

Effect 3 in the app · The curated feed

Best moments invite unfair comparison

A schematic drawing. Sources: Amirthalingam and Khera (2024), citing Chou and Edge (2012); Montag et al. (2019); Johns Hopkins Bloomberg School of Public Health (2026).

Effect 4 · Predict and reveal · 1 min

Social pressure and defaults

Effect 4 in the app · Read receipts

Two ticks turn a message into an obligation

A schematic drawing; on the real app the read ticks turn blue. Source: Montag et al. (2019), section 3.3.

Session map

Economics: why would a free app want your time?

Now

Follow the money from your screen to the platform's revenue.

Economics · The attention business model

Your time becomes data, then revenue

You pay with dataThe platform earns

Time in the app

The features you have just seen keep users occupied as long as possible.

Data per person

Every extra minute adds to the personal data the platform can harvest.

Microtargeting

More data makes ads more precisely matched to each person.

Revenue

Personalised ads boost clicks and buys, so revenue tends to rise.

The app is free because you pay with your data rather than with money.

Source: Montag et al. (2019), section 2, citing Matz et al. (2017) on personalised ads.

Session map

Politics: who should stop it?

Now

The Meta settlement, why regulation lags, and a vote.

Politics · The case

Meta settled; the algorithms stay

FiledOctober 2023, in a US federal court
Brought byAttorneys general of 51 US jurisdictions
SettledAugust 2026, a week into the trial
ValueAbout $12 billion over 10 years; up to $17 billion

The claims

The states claimed Meta built Facebook and Instagram to keep young people hooked, and misled the public about the risks. Meta admitted no wrongdoing.

What changes

  • A two-hour daily limit
  • A block on overnight use
  • No notifications in school hours
  • Prompts to pause
  • No cosmetic filters

What stays

  • The engagement algorithms
  • Defaults young users can change
  • Other platforms to switch to
  • Terms that end after 10 years

Source: Thrul and Mendelson, interviewed by the Johns Hopkins Bloomberg School of Public Health, 16 September 2026.

Politics · Why regulation lags

The evidence sits inside the platforms

1

Researchers cannot see the data

Independent scientists rarely get platform data, so no one outside can measure what each feature does.

2

Tests run out of sight

Platforms A/B test new versions of features on users, mostly unsolicited.

3

Cause is still debated

Problematic use is linked to anxiety and depression; whether social media causes them is open.

What accountability could look like

  • Regulate or ban certain design features
  • Pay a fee instead of paying with data
  • An archive of internal documents for researchers
  • Laws that hold companies to account on an ongoing basis

Sources: Montag et al. (2019), sections 4 and 5; Thrul and Mendelson, Johns Hopkins Bloomberg School of Public Health (2026).

Take a side · 3 min

For

Against

Vote in the chat

F for · A against · U unsure

Vote 1 · Before
Vote 2 · AfterOutline = vote 1
Close

What you can now do

  • Explain how four psychological effects capture attention.
  • Identify the platform feature that uses each effect.
  • Explain why more of your time earns a free app money.
  • Evaluate whether governments should ban addictive design for under-18s.

To go further

Montag, Lachmann, Herrlich and Zweig (2019). Addictive features of social media/messenger platforms and freemium games. Int. J. Environ. Res. Public Health.

Amirthalingam and Khera (2024). Understanding social media addiction: a deep dive. Cureus.

Johns Hopkins Bloomberg School of Public Health (2026). How the $17 billion Meta settlement could reshape mental health research and policy.

One lens explains the feature, one explains the incentive, one decides what happens next.

Poll · 30 sec

How would you like to explore this further?

Vote in the chat

Type A or B.

Exit ticket · 1 min

Before you leave the call

Type your answers in the chatNumber each answer 1, 2 or 3.