In this lesson, students examine a fictional social network profile to learn how online platforms collect data about their users. They then read an article that explains how platforms use this data and explores some of the issues this raises. Finally, they create a mind map of their own online data profile and reflect on how the data they post may be collected and used by others.
This blog was written by Samantha McAleese and three youth participants – Sahil, Erin, and Kate (pseudonyms used to maintain anonymity).
Reflections on Conducting Qualitative Research During a Pandemic
What comes to mind when you hear the word algorithm? Can you explain how machine learning works? Do you have any privacy or data collection concerns regarding the increased reliance on artificial intelligence? These are just a few of the questions that we asked young people in our recent qualitative research project Algorithmic Awareness: Conversations with Young Canadians about Artificial Intelligence and Privacy. From November 2020 to January 2021, we facilitated eight focus groups with 22 youth ages 13 to 17, where we combined game-based learning with discussion and reflection to gain insight into how young Canadians understand the relationship between artificial intelligence, algorithms, and privacy.
Meet Sasha. At age 8, she's a real social butterfly, both online and off, and is very concerned with how the world sees her: she spends a lot of time making sure she looks good in photos online but doesn't always think twice about who might see them. Violet is Sasha's older sister and her polar opposite: she's a hardcore gamer, and just as tough as her Level 65 Barbarian. Though she despairs of her sister sometimes, she's also fiercely protective of her and will unleash her considerable wrath on anyone she thinks is picking on Sasha.
Our older two teens are close to finishing high school, and we’re starting to think about moving them into the adult phase of their lives. That means managing their own online presence and technology, and making sure they have full ownership of their profiles.
And that led to the big password talk.
#ForYou is a card-based pattern-matching game that helps youth aged 13 to 18 understand the role that algorithms play in their online and offline lives, and the value of their personal information to companies that use those algorithms. The game is designed to be delivered either in school or in community spaces such as homework or coding clubs.
In this lesson, students play the educational card game #ForYou: A Game About Algorithms and use it as a prompt to learn about and discuss the role that algorithms, data collection, and machine learning play in their lives. After playing, they analyze the game as an example of a serious game and then design their own serious game to communicate some of what they have learned in the lesson.
The #ForYou discussion guide includes a gameplay overview, instructions on how to run the game as a workshop, a pre-brief and debrief before and after each round of the gameplay to introduce and discuss key ideas about algorithms, rules for quickplay, and a glossary of key terms.
Not many words have had a rise as meteoric as the term “algorithm.” Once only familiar to mathematicians or computer scientists, today algorithms are the subject of warnings from scholars and activists, protested by students whose future lives and careers are increasingly determined by algorithmic decision-making, personified and catered to by would-be YouTube stars, and seen as the almost magical element that is vital to the success of newer platforms such as TikTok.
A new smartphone is a big responsibility for kids, who have a lot to learn about using them safely, especially when it comes to protecting their privacy.
The Office of the Privacy Commissioner of Canada has created a graphic novel, Social Smarts: Nothing Personal! to help young Canadians to better understand and navigate privacy issues in the online world.