Intermediate
40 mins
Teacher/Student led
+90 XP
Pupils work on their own device

Bias and Stereotypes in Digital Media

Students learn to spot bias and stereotypes in digital content such as social media posts and advertisements. Through examples and discussion they practise spotting them even in views they agree with, and look at how they shape what people expect.

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    1 - Start ~3 mins

    Illustration for StartYou already know that an app's algorithm chooses what goes in your feed. This lesson looks at the posts, adverts and pictures themselves, and at how to spot when they rely on a ready-made idea about a group of people.

    Today you will

    1. Judge some made-up examples for bias.
    2. Talk as a class about what happens when the same stereotype shows up again and again.

    2 - Examine and Discuss ~5 mins

    Illustration for Examine and discussBias is when something leans toward one view or group and leaves others out or makes them look worse. A stereotype is a ready-made idea about a whole group, like "teenagers are always on their phones", treated as if it were true of everyone in that group.

    For each example, you choose one of three answers.

    • Balanced means it is fair to the people in it.
    • Shows bias means it leans on a stereotype or tells only one side.
    • Cannot tell from this means there is not enough detail to judge.
    Think about it

    First, think of one stereotype you have seen online about people your age, and keep it to yourself.

    3 - Hands-on: Bias Detective ~7 mins

    As a class, go through all six Bias detective examples in the activity below. For each one, make your own call first, then vote as a class and hear the reasoning. In the class poll next, you will judge five new examples on your own device.

    Each time, ask two questions. Who is shown, and who is left out? And which ready-made idea about a group does the example depend on?

    Key point

    Agreeing with an example does not make it balanced. The hardest part is spotting bias in something you agree with. One example has very little detail on purpose, so Cannot tell from this can be the right answer.

    Bias detective

    4 - Class Poll: Balanced, or Showing Bias? ~8 mins

    Now everyone votes on five new examples, each on your own device. Join with the code on the board.

    How it works

    There is no score and no clock. Once the class has voted, the board shows how the class split, and then it shows the reasoning. After the discussion, your teacher can open the vote again to see who changed their mind.

    • Read the item and make your call.
    • When the reasoning comes up, compare it with your own reason.
    Key point

    Being able to say why you made your call matters more than getting it right. The reasoning behind each answer is the important part.

    Class Poll

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