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The Privacy Dilemma

In this lesson students learn the ways that the apps they use are designed to encourage them to share more information—both with other users and with the apps themselves. They are then introduced to the idea of persuasive design or “dark patterns” and investigate whether these are used to make it more difficult to opt out of data collection on popular apps. Finally, the class creates a “rogues’ gallery” to help them identify dark patterns when they encounter them.

Digital Citizenship, Internet & Mobile, Online Marketing, Privacy, Social Networking

How to Train Your Algorithm

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.

Artificial intelligence, Internet & Mobile, Privacy

Online Marketing to Kids: Protecting Your Privacy

This lesson introduces students to the ways in which commercial apps and websites collect personal information from kids and to the issues surrounding children and privacy on the Internet. Students begin by considering how comfortable they would be with people knowing various things about them, and then watch and discuss a video which explains how targeted advertising works. They then explore the idea of targeted advertising through a class exercise in which Prince Charming tries to target Cinderella with an ad for glass slippers, and then analyze how their own personal information might be used to target them with ads. In the second part of the lesson, students are introduced to privacy policies and how they are rated by the website Terms of Service, Didn’t Read. They read and analyze the site’s rating for a popular app and then learn ways to limit data collection. In an extension activity, students are introduced to the idea of “dark patterns” and imagine how the Wicked Queen might use them to convince Snow White to accept “poison” cookies.

Digital Citizenship, Internet & Mobile, Marketing & Consumerism, Online Marketing, Privacy

How Do Canadian Teens Make Decisions When Sharing Photos?

Building on MediaSmarts’ findings on youth and privacy from our Young Canadians in a Wired World research, our new qualitative study, To Share or Not to Share: How Teens Make Privacy Decisions about Photos on Social Media examines the reasoning that teens apply when sharing photos online.

Cell Phones and Texting, Privacy, Social Networking, Young Canadians In A Wired World

Data Defenders: Understanding data collection online

In this lesson, students explore the concepts relating to data collection that are introduced in the educational game Data Defenders. The lesson will underscore for students the idea that their data is valuable and worthy of careful management by analyzing the platforms, applications and websites they use through the lens of the five privacy tools (which address the five principal ways data is collected online) introduced in Data Defenders. Finally, students consider how to apply these tools to their own online activities.

Digital Citizenship, Online Marketing, Privacy

Privacy Rights of Children and Teens

In this lesson, students are introduced to the privacy principles that inform the Alberta and BC Personal Information Protection Acts, Québec’s An Act Respecting the Protection of Personal Information in the Private Sector and the students’ federal Personal Information Protection and Electronic Documents Act (PIPEDA) relating to personal information collection online. They learn ways to find out what personal information may or has been collected by platforms that they use, how to limit data collection about themselves, and the various forms of recourse that are available to them if they feel an organization is not respecting their rights.

Internet & Mobile, Privacy

Your Online Resume

In this lesson, students learn that their online presence is like a resume that can help them – or hurt them – in their future personal and professional lives. The lesson begins by having students do a self-appraisal of their online resume. Students will review steps for limiting the negative impact of things they’ve posted online. Students then think about people whom they consider to be heroes or role models, identify the characteristics that make them admire these people, and discuss what those people did in order to be seen so positively. Finally, students learn tools and strategies for consciously building a positive online brand and develop a communications plan for doing so.

Digital Citizenship, Internet & Mobile, Privacy

Surveillance and algorithmic decision-making

Sociologist and surveillance scholar David Lyon defines surveillance as “any collection and processing of personal data, whether identifiable or not, for the purposes of influencing or managing those whose data have been garnered.”

Privacy

Privacy and Bullying

Despite their enthusiastic participation in social media, it’s a mistake to think that young people don’t care about privacy. MediaSmarts’ 2014 study Young Canadians in a Wired World, which surveyed over 5,000 students across Canada on their experiences with and attitudes towards digital media, found that they do have very strong feelings about their privacy, and take significant steps to control it.

Cyberbullying, Privacy, Young Canadians In A Wired World

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MediaSmarts is a non-partisan registered charity that receives funding from government and corporate partners to support the development of original research and educational content. Our funders and corporate partners do not influence our work, and any resources that offer guidance on specific digital tools and platforms do not constitute an endorsement.

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