One of the oldest adages in marketing is “Half the money I spend on advertising is wasted, but I don’t know which half.” It’s as important for advertisers to reach the right people as it is to make an appealing ad, so they have developed many different ways of targeting ads effectively. Online advertising lets marketers match different ads with individual users. This section looks at how that’s done and how it affects kids’ privacy.
“Advertising has always sold anxiety, and it certainly sells anxiety to the young. It’s always telling them they’re losers unless they’re cool.” (Mark Crispin Miller, The Merchants of Cool, 2000)
Phones and other media are a big part of kids’ lives, and they can be a healthy part too. Here are some ways that you can make sure your kids get the best possible start when using media and digital devices.
Screens and other media are a big part of kids’ lives, and they can be a healthy part too. Here are some ways that you can make sure your kids get the best possible start when using media and digital devices.
Children under two should spend as little time with screen devices as possible, except for video-chats with people they know offline and reading e-books with an adult or sibling.
Today's kids have become the most marketed-to generation in history, due to their spending power and their future influence as adult consumers. By talking to kids about advertising - how it works and how they're targeted - we can help them to become more savvy as consumers and more resistant to the pressures to be "cool."
In this lesson, students will learn about algorithms and how they function, particularly recommendation algorithms utilized by popular apps like YouTube, TikTok, Instagram, and Netflix. Students explore the role of optimization goals such as watch time, engagement, and daily active use in shaping the content algorithms prioritize. Through activities like “red teaming,” students will critically analyze the potential downsides and biases of these optimization goals. Students will also discover how to train algorithms by providing both explicit inputs through actions like liking and sharing, and understand the implications of implicit inputs gathered from their online activity. Finally, students design their own algorithm for an app of their choice, identifying which goals it should be optimized for and how they should be weighted as well as what inputs it should use.
You can train the algorithms on social networks and video sites to show you more of what you want, and less of what you don’t want. Here are some tips:
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