{"id":41,"date":"2025-03-21T13:39:30","date_gmt":"2025-03-21T13:39:30","guid":{"rendered":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/front-matter\/lesson-how-to-tame-your-algorithm\/"},"modified":"2025-07-29T20:49:04","modified_gmt":"2025-07-29T20:49:04","slug":"lesson-how-to-tame-your-algorithm","status":"publish","type":"front-matter","link":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/front-matter\/lesson-how-to-tame-your-algorithm\/","title":{"raw":"Lesson: How to Train Your Algorithm","rendered":"Lesson: How to Train Your Algorithm"},"content":{"raw":"<span class=\"ng-star-inserted\" data-start-index=\"0\">In this lesson, students will <\/span><span class=\"bold ng-star-inserted\" data-start-index=\"30\">learn about [pb_glossary id=\"278\"]algorithm[\/pb_glossary]s and how they function<\/span><span class=\"ng-star-inserted\" data-start-index=\"74\">, particularly recommendation algorithms utilized by popular apps like YouTube, TikTok, Instagram, and Netflix.<\/span><span class=\"ng-star-inserted\" data-start-index=\"185\"> Students <\/span><span class=\"bold ng-star-inserted\" data-start-index=\"200\">explore the role of\u00a0[pb_glossary id=\"281\"]optimization[\/pb_glossary] goals<\/span><span class=\"ng-star-inserted\" data-start-index=\"238\"> such as watch time, engagement, and daily active use in shaping the content algorithms prioritize.<\/span><span class=\"ng-star-inserted\" data-start-index=\"337\"> Through activities like <\/span><span class=\"bold ng-star-inserted\" data-start-index=\"362\">\"red teaming,\"<\/span><span class=\"ng-star-inserted\" data-start-index=\"376\"> students will critically analyze the potential downsides and biases of these optimization goals.<\/span><span class=\"ng-star-inserted\" data-start-index=\"473\"> Students will also <\/span><span class=\"bold ng-star-inserted\" data-start-index=\"493\">discover how to train algorithms<\/span><span class=\"ng-star-inserted\" data-start-index=\"525\"> by providing both explicit inputs through actions like liking and sharing, and understand the implications of implicit inputs gathered from their online activity.<\/span><span class=\"ng-star-inserted\" data-start-index=\"688\"> 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.<\/span>\r\n\r\n<strong>Grade range: 9\r\n<\/strong>\r\n\r\n<strong><a href=\"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/chapter\/introduction-17\/\">Teacher Material<\/a><\/strong>\r\n\r\n<strong><a href=\"https:\/\/textbook.mediasmarts.ca\/navigatingstudent\/chapter\/introducing-recommendation-algorithms\/\">Student Material<\/a><\/strong>\r\n\r\n<strong>Time Frame<\/strong>\r\n<table border=\"0\">\r\n<tbody>\r\n<tr>\r\n<td><\/td>\r\n<td><strong>One class period (75 minutes)<\/strong><\/td>\r\n<td><strong>Two or three class periods (150-225 minutes)<\/strong><\/td>\r\n<td><strong>Extended Unit<\/strong><\/td>\r\n<\/tr>\r\n<tr>\r\n<td><strong>Activities<\/strong><\/td>\r\n<td>Introducing Recommendation Algorithms\r\n\r\nHow to Train Your Algorithm\r\n\r\nAlgorithm Training\r\n\r\n&nbsp;\r\n\r\n&nbsp;<\/td>\r\n<td>Introducing Recommendation Algorithms\r\n\r\nOptimizing Algorithms\r\n\r\nThe Cold Start Problem\r\n\r\nHow to Train Your Algorithm\r\n\r\nAlgorithm Training<\/td>\r\n<td>Introducing Recommendation Algorithms\r\n\r\nOptimizing Algorithms\r\n\r\nThe Cold Start Problem\r\n\r\nRed-teaming Recommendations\r\n\r\nHow to Train Your Algorithm\r\n\r\nAlgorithm Training\r\n\r\nReinventing Recommendations<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<strong>Preparation:<\/strong>\r\n<ul>\r\n \t<li>Make sure that you are able to show the embedded videos or that students are able to access the links.<\/li>\r\n \t<li>Make sure that students are able to access the interactive activities.<\/li>\r\n<\/ul>\r\n&nbsp;\r\n<div class=\"textbox textbox--learning-objectives\"><header class=\"textbox__header\">\r\n<p class=\"textbox__title\">Learning Outcomes<\/p>\r\n\r\n<\/header>\r\n<div class=\"textbox__content\">\r\n\r\n<em>Big ideas\/key concepts<\/em>: Students will understand that\u2026\r\n\r\nMedia are constructions:\r\n<ul>\r\n \t<li>Algorithms are designed and optimized for a particular purpose<\/li>\r\n<\/ul>\r\nMedia have social and political implications:\r\n<ul>\r\n \t<li>Recommendation algorithms can have negative impacts on people and society due to their optimization goals<\/li>\r\n<\/ul>\r\nMedia have commercial implications:\r\n<ul>\r\n \t<li>Algorithms' design and optimization serve commercial purposes such as maximizing watch time and engagement<\/li>\r\n<\/ul>\r\nDigital media have unexpected audiences:\r\n<ul>\r\n \t<li>Many apps, websites and other digital tools collect information while you are using them to use as inputs for their algorithms<\/li>\r\n<\/ul>\r\nDigital media experiences are shaped by the tools we use:\r\n<ul>\r\n \t<li>How algorithms are designed and optimized influence how we use an app or tool<\/li>\r\n \t<li>It is possible to consciously \"train\" algorithms to influence the content they deliver<\/li>\r\n<\/ul>\r\n<em>Key questions<\/em>:\r\n<ul>\r\n \t<li>How do algorithms work?<\/li>\r\n \t<li>What are some of the implications of how they work?<\/li>\r\n \t<li>How can we use them more consciously and mindfully?<\/li>\r\n<\/ul>\r\n<em>Essential knowledge:<\/em> Students will know\u2026\r\n<ul>\r\n \t<li>Reading media: Operation of recommendation algorithms, including optimization goals and explicit and implicit inputs<\/li>\r\n \t<li>Consumer awareness: Commercial goals of algorithms' optimization goals<\/li>\r\n \t<li>Privacy and security: Collection of personal data for use as implicit inputs\r\n<ul>\r\n \t<li>Key vocabulary: [pb_glossary id=\"278\"]algorithm[\/pb_glossary], [pb_glossary id=\"282\"]data brokers[\/pb_glossary], [pb_glossary id=\"281\"]optimization [\/pb_glossary]goal, [pb_glossary id=\"494\"]explicit input[\/pb_glossary], [pb_glossary id=\"495\"]implicit input[\/pb_glossary], [pb_glossary id=\"279\"]recommendation algorithm[\/pb_glossary]<\/li>\r\n<\/ul>\r\n<\/li>\r\n<\/ul>\r\n<em>Performance tasks<\/em>: Students will be able to\u2026\r\n<ul>\r\n \t<li>Access: Find and use privacy settings<\/li>\r\n \t<li>Use: Refresh and customize an app's recommendation algorithm<\/li>\r\n \t<li>Understand: Analyze the implications and potential impacts of algorithms, their optimization goals and their inputs<\/li>\r\n \t<li>Engage: Identify potential harms of recommendation algorithms, take steps to use algorithms more mindfully, and design an algorithm that would mitigate those harms<\/li>\r\n<\/ul>\r\n<strong>Student-friendly outcomes:<\/strong>\r\n<ul>\r\n \t<li>We will learn how algorithms and recommendation systems work, what their optimization goals are, and key terms like \"algorithm,\" \"optimization goal,\" and \"implicit input.\"<\/li>\r\n \t<li>We will think about the social, political, and commercial impacts of algorithms, how they collect and use our data, and how we can use them more mindfully.<\/li>\r\n \t<li>We will find and use privacy settings, customize app recommendations, analyze the effects of algorithms, and design ways to reduce potential harms caused by recommendation systems.<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/div>\r\n<div class=\"textbox textbox--key-takeaways\"><header class=\"textbox__header\">\r\n<p class=\"textbox__title\"><strong>Curriculum\u00a0 Connections<\/strong><\/p>\r\n\r\n<\/header>\r\n<div class=\"textbox__content\">\r\n<div class=\"textbox__content\">\r\n\r\n<strong>Strand A: Literacy Connections and Applications<\/strong>\r\n\r\n<strong>A1. Transferable Skills<\/strong>\r\n\r\nA1.1 Student Agency and Engagement\r\n\r\nevaluate and explain how transferable skills help them to express their voice, be engaged in their learning, and implement a plan to develop their capabilities and potential\r\n\r\n<strong>A2. Digital Media Literacy<\/strong>\r\n\r\nA2.1 Digital Citizenship\r\n\r\nvaluate and explain their rights and responsibilities when interacting online with appropriate permission, and make decisions that contribute positively to the development of their digital identity and those of their communities\r\n\r\nA2.4 Forms, Conventions, and Techniques\r\n\r\nevaluate the use of the various forms, conventions, and techniques of digital and media texts, consider the impact on the audience, and apply this understanding when analyzing and creating texts\r\n\r\nA2.5 Media, Audience, and Production\r\n\r\ndemonstrate an understanding of the interrelationships between the form, message, and context of texts, the intended and unintended audience, and the purpose for production\r\n\r\nA2.6 Innovation and Design\r\n\r\nselect and use appropriate digital and media tools to support the design process and address authentic, relevant, real-world problems by developing and proposing innovative solutions\r\n\r\n<strong>A3. Applications, Connections, and Contributions<\/strong>\r\n\r\nA3.1 Cross-Curricular and Integrated Learning\r\n\r\nanalyze and explain how the knowledge and skills developed in this course support learning in various subject areas and in everyday life, and describe how they enhance understanding and communication\r\n\r\n&nbsp;\r\n\r\n<strong>Strand C: Comprehension: Understanding and Responding to Texts<\/strong>\r\n\r\n<strong>C1. Knowledge about Texts\r\n<\/strong>\r\n\r\nC1.2 Text Forms and Genres\r\n\r\nanalyze and compare the characteristics of various text forms and genres, including cultural text forms, and provide evidence to explain how they help communicate meaning\r\n\r\nC1.3 Text Patterns and Features\r\n\r\ncompare the text patterns, such as compare and contrast in an expository essay, and text features, such as footnotes and copyright information, associated with different text forms, including cultural texts, and evaluate their importance in helping readers, listeners, and viewers understand the meaning\r\n\r\n<strong>C3. Critical Thinking in Literacy\r\n<\/strong>\r\n\r\nC3.2 Making Inferences\r\n\r\nmake local and global inferences, using explicit and implicit evidence, to explain and support their interpretations about various complex texts\r\n\r\n&nbsp;\r\n\r\n<strong>Strand D: Composition: Expressing Ideas and Creating Texts\r\n<\/strong>\r\n\r\n<strong>D1. Developing Ideas and Organizing Content\r\n<\/strong>\r\n\r\nD1.1 Purpose and Audience\r\n\r\nidentify the topic, purpose, and audience for various texts they plan to create; choose a text form, genre, and medium to suit the purpose and audience, and justify their choices\r\n\r\nD1.2 Developing Ideas\r\n\r\ngenerate and develop ideas and details about complex topics, such as topics related to diversity, equity, and inclusion and to other subject areas, using a variety of strategies, and drawing on various resources, including their own lived experiences\r\n\r\nD1.3 Organizing Content\r\n\r\nclassify and sequence ideas and collected information, selecting effective strategies and tools, and identify and organize relevant content, evaluating the choices of text form, genre, and medium, and considering alternatives\r\n\r\n<strong>D2. Creating Texts\r\n<\/strong>\r\n\r\nD2.1 Producing Drafts\r\n\r\ndraft complex texts of various forms and genres, including narrative, persuasive, expository, and informational texts, citing sources, and use a variety of appropriate media, tools, and strategies to transform information and communicate ideas\r\n\r\nD2.4 Point of View and Perspective\r\n\r\nexplain the explicit and implicit points of view, perspectives, and bias conveyed in their texts, evaluate how various audiences might respond, and suggest ways to acknowledge other perspectives\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n&nbsp;\r\n\r\n&nbsp;","rendered":"<p><span class=\"ng-star-inserted\" data-start-index=\"0\">In this lesson, students will <\/span><span class=\"bold ng-star-inserted\" data-start-index=\"30\">learn about <a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_41_278\">algorithm<\/a>s and how they function<\/span><span class=\"ng-star-inserted\" data-start-index=\"74\">, particularly recommendation algorithms utilized by popular apps like YouTube, TikTok, Instagram, and Netflix.<\/span><span class=\"ng-star-inserted\" data-start-index=\"185\"> Students <\/span><span class=\"bold ng-star-inserted\" data-start-index=\"200\">explore the role of\u00a0<a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_41_281\">optimization<\/a> goals<\/span><span class=\"ng-star-inserted\" data-start-index=\"238\"> such as watch time, engagement, and daily active use in shaping the content algorithms prioritize.<\/span><span class=\"ng-star-inserted\" data-start-index=\"337\"> Through activities like <\/span><span class=\"bold ng-star-inserted\" data-start-index=\"362\">&#8220;red teaming,&#8221;<\/span><span class=\"ng-star-inserted\" data-start-index=\"376\"> students will critically analyze the potential downsides and biases of these optimization goals.<\/span><span class=\"ng-star-inserted\" data-start-index=\"473\"> Students will also <\/span><span class=\"bold ng-star-inserted\" data-start-index=\"493\">discover how to train algorithms<\/span><span class=\"ng-star-inserted\" data-start-index=\"525\"> by providing both explicit inputs through actions like liking and sharing, and understand the implications of implicit inputs gathered from their online activity.<\/span><span class=\"ng-star-inserted\" data-start-index=\"688\"> 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.<\/span><\/p>\n<p><strong>Grade range: 9<br \/>\n<\/strong><\/p>\n<p><strong><a href=\"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/chapter\/introduction-17\/\">Teacher Material<\/a><\/strong><\/p>\n<p><strong><a href=\"https:\/\/textbook.mediasmarts.ca\/navigatingstudent\/chapter\/introducing-recommendation-algorithms\/\">Student Material<\/a><\/strong><\/p>\n<p><strong>Time Frame<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td><\/td>\n<td><strong>One class period (75 minutes)<\/strong><\/td>\n<td><strong>Two or three class periods (150-225 minutes)<\/strong><\/td>\n<td><strong>Extended Unit<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Activities<\/strong><\/td>\n<td>Introducing Recommendation Algorithms<\/p>\n<p>How to Train Your Algorithm<\/p>\n<p>Algorithm Training<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/td>\n<td>Introducing Recommendation Algorithms<\/p>\n<p>Optimizing Algorithms<\/p>\n<p>The Cold Start Problem<\/p>\n<p>How to Train Your Algorithm<\/p>\n<p>Algorithm Training<\/td>\n<td>Introducing Recommendation Algorithms<\/p>\n<p>Optimizing Algorithms<\/p>\n<p>The Cold Start Problem<\/p>\n<p>Red-teaming Recommendations<\/p>\n<p>How to Train Your Algorithm<\/p>\n<p>Algorithm Training<\/p>\n<p>Reinventing Recommendations<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Preparation:<\/strong><\/p>\n<ul>\n<li>Make sure that you are able to show the embedded videos or that students are able to access the links.<\/li>\n<li>Make sure that students are able to access the interactive activities.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<div class=\"textbox textbox--learning-objectives\">\n<header class=\"textbox__header\">\n<p class=\"textbox__title\">Learning Outcomes<\/p>\n<\/header>\n<div class=\"textbox__content\">\n<p><em>Big ideas\/key concepts<\/em>: Students will understand that\u2026<\/p>\n<p>Media are constructions:<\/p>\n<ul>\n<li>Algorithms are designed and optimized for a particular purpose<\/li>\n<\/ul>\n<p>Media have social and political implications:<\/p>\n<ul>\n<li>Recommendation algorithms can have negative impacts on people and society due to their optimization goals<\/li>\n<\/ul>\n<p>Media have commercial implications:<\/p>\n<ul>\n<li>Algorithms&#8217; design and optimization serve commercial purposes such as maximizing watch time and engagement<\/li>\n<\/ul>\n<p>Digital media have unexpected audiences:<\/p>\n<ul>\n<li>Many apps, websites and other digital tools collect information while you are using them to use as inputs for their algorithms<\/li>\n<\/ul>\n<p>Digital media experiences are shaped by the tools we use:<\/p>\n<ul>\n<li>How algorithms are designed and optimized influence how we use an app or tool<\/li>\n<li>It is possible to consciously &#8220;train&#8221; algorithms to influence the content they deliver<\/li>\n<\/ul>\n<p><em>Key questions<\/em>:<\/p>\n<ul>\n<li>How do algorithms work?<\/li>\n<li>What are some of the implications of how they work?<\/li>\n<li>How can we use them more consciously and mindfully?<\/li>\n<\/ul>\n<p><em>Essential knowledge:<\/em> Students will know\u2026<\/p>\n<ul>\n<li>Reading media: Operation of recommendation algorithms, including optimization goals and explicit and implicit inputs<\/li>\n<li>Consumer awareness: Commercial goals of algorithms&#8217; optimization goals<\/li>\n<li>Privacy and security: Collection of personal data for use as implicit inputs\n<ul>\n<li>Key vocabulary: <a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_41_278\">algorithm<\/a>, <a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_41_282\">data brokers<\/a>, <a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_41_281\">optimization <\/a>goal, <a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_41_494\">explicit input<\/a>, <a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_41_495\">implicit input<\/a>, <a class=\"glossary-term\" aria-haspopup=\"dialog\" aria-describedby=\"definition\" href=\"#term_41_279\">recommendation algorithm<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><em>Performance tasks<\/em>: Students will be able to\u2026<\/p>\n<ul>\n<li>Access: Find and use privacy settings<\/li>\n<li>Use: Refresh and customize an app&#8217;s recommendation algorithm<\/li>\n<li>Understand: Analyze the implications and potential impacts of algorithms, their optimization goals and their inputs<\/li>\n<li>Engage: Identify potential harms of recommendation algorithms, take steps to use algorithms more mindfully, and design an algorithm that would mitigate those harms<\/li>\n<\/ul>\n<p><strong>Student-friendly outcomes:<\/strong><\/p>\n<ul>\n<li>We will learn how algorithms and recommendation systems work, what their optimization goals are, and key terms like &#8220;algorithm,&#8221; &#8220;optimization goal,&#8221; and &#8220;implicit input.&#8221;<\/li>\n<li>We will think about the social, political, and commercial impacts of algorithms, how they collect and use our data, and how we can use them more mindfully.<\/li>\n<li>We will find and use privacy settings, customize app recommendations, analyze the effects of algorithms, and design ways to reduce potential harms caused by recommendation systems.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"textbox textbox--key-takeaways\">\n<header class=\"textbox__header\">\n<p class=\"textbox__title\"><strong>Curriculum\u00a0 Connections<\/strong><\/p>\n<\/header>\n<div class=\"textbox__content\">\n<div class=\"textbox__content\">\n<p><strong>Strand A: Literacy Connections and Applications<\/strong><\/p>\n<p><strong>A1. Transferable Skills<\/strong><\/p>\n<p>A1.1 Student Agency and Engagement<\/p>\n<p>evaluate and explain how transferable skills help them to express their voice, be engaged in their learning, and implement a plan to develop their capabilities and potential<\/p>\n<p><strong>A2. Digital Media Literacy<\/strong><\/p>\n<p>A2.1 Digital Citizenship<\/p>\n<p>valuate and explain their rights and responsibilities when interacting online with appropriate permission, and make decisions that contribute positively to the development of their digital identity and those of their communities<\/p>\n<p>A2.4 Forms, Conventions, and Techniques<\/p>\n<p>evaluate the use of the various forms, conventions, and techniques of digital and media texts, consider the impact on the audience, and apply this understanding when analyzing and creating texts<\/p>\n<p>A2.5 Media, Audience, and Production<\/p>\n<p>demonstrate an understanding of the interrelationships between the form, message, and context of texts, the intended and unintended audience, and the purpose for production<\/p>\n<p>A2.6 Innovation and Design<\/p>\n<p>select and use appropriate digital and media tools to support the design process and address authentic, relevant, real-world problems by developing and proposing innovative solutions<\/p>\n<p><strong>A3. Applications, Connections, and Contributions<\/strong><\/p>\n<p>A3.1 Cross-Curricular and Integrated Learning<\/p>\n<p>analyze and explain how the knowledge and skills developed in this course support learning in various subject areas and in everyday life, and describe how they enhance understanding and communication<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Strand C: Comprehension: Understanding and Responding to Texts<\/strong><\/p>\n<p><strong>C1. Knowledge about Texts<br \/>\n<\/strong><\/p>\n<p>C1.2 Text Forms and Genres<\/p>\n<p>analyze and compare the characteristics of various text forms and genres, including cultural text forms, and provide evidence to explain how they help communicate meaning<\/p>\n<p>C1.3 Text Patterns and Features<\/p>\n<p>compare the text patterns, such as compare and contrast in an expository essay, and text features, such as footnotes and copyright information, associated with different text forms, including cultural texts, and evaluate their importance in helping readers, listeners, and viewers understand the meaning<\/p>\n<p><strong>C3. Critical Thinking in Literacy<br \/>\n<\/strong><\/p>\n<p>C3.2 Making Inferences<\/p>\n<p>make local and global inferences, using explicit and implicit evidence, to explain and support their interpretations about various complex texts<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Strand D: Composition: Expressing Ideas and Creating Texts<br \/>\n<\/strong><\/p>\n<p><strong>D1. Developing Ideas and Organizing Content<br \/>\n<\/strong><\/p>\n<p>D1.1 Purpose and Audience<\/p>\n<p>identify the topic, purpose, and audience for various texts they plan to create; choose a text form, genre, and medium to suit the purpose and audience, and justify their choices<\/p>\n<p>D1.2 Developing Ideas<\/p>\n<p>generate and develop ideas and details about complex topics, such as topics related to diversity, equity, and inclusion and to other subject areas, using a variety of strategies, and drawing on various resources, including their own lived experiences<\/p>\n<p>D1.3 Organizing Content<\/p>\n<p>classify and sequence ideas and collected information, selecting effective strategies and tools, and identify and organize relevant content, evaluating the choices of text form, genre, and medium, and considering alternatives<\/p>\n<p><strong>D2. Creating Texts<br \/>\n<\/strong><\/p>\n<p>D2.1 Producing Drafts<\/p>\n<p>draft complex texts of various forms and genres, including narrative, persuasive, expository, and informational texts, citing sources, and use a variety of appropriate media, tools, and strategies to transform information and communicate ideas<\/p>\n<p>D2.4 Point of View and Perspective<\/p>\n<p>explain the explicit and implicit points of view, perspectives, and bias conveyed in their texts, evaluate how various audiences might respond, and suggest ways to acknowledge other perspectives<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div class=\"glossary\"><span class=\"screen-reader-text\" id=\"definition\">definition<\/span><template id=\"term_41_278\"><div class=\"glossary__definition\" role=\"dialog\" data-id=\"term_41_278\"><div tabindex=\"-1\"><p>A computer program that follows a series of steps to make a decision.<\/p>\n<\/div><button><span aria-hidden=\"true\">&times;<\/span><span class=\"screen-reader-text\">Close definition<\/span><\/button><\/div><\/template><template id=\"term_41_281\"><div class=\"glossary__definition\" role=\"dialog\" data-id=\"term_41_281\"><div tabindex=\"-1\"><p>Training an algorithm to achieve a particular goal.<\/p>\n<\/div><button><span aria-hidden=\"true\">&times;<\/span><span class=\"screen-reader-text\">Close definition<\/span><\/button><\/div><\/template><template id=\"term_41_282\"><div class=\"glossary__definition\" role=\"dialog\" data-id=\"term_41_282\"><div tabindex=\"-1\"><p>Companies that collect information about people and sell it to advertisers, apps or websites.<\/p>\n<\/div><button><span aria-hidden=\"true\">&times;<\/span><span class=\"screen-reader-text\">Close definition<\/span><\/button><\/div><\/template><template id=\"term_41_494\"><div class=\"glossary__definition\" role=\"dialog\" data-id=\"term_41_494\"><div tabindex=\"-1\"><p>A signal that you know you're sending, such as hitting the Like button.<\/p>\n<\/div><button><span aria-hidden=\"true\">&times;<\/span><span class=\"screen-reader-text\">Close definition<\/span><\/button><\/div><\/template><template id=\"term_41_495\"><div class=\"glossary__definition\" role=\"dialog\" data-id=\"term_41_495\"><div tabindex=\"-1\"><p>A signal you may not know you're sending, such as how long you watch a video.<\/p>\n<\/div><button><span aria-hidden=\"true\">&times;<\/span><span class=\"screen-reader-text\">Close definition<\/span><\/button><\/div><\/template><template id=\"term_41_279\"><div class=\"glossary__definition\" role=\"dialog\" data-id=\"term_41_279\"><div tabindex=\"-1\"><p>An algorithm that guesses what you are likely to want to see and shows it to you.<\/p>\n<\/div><button><span aria-hidden=\"true\">&times;<\/span><span class=\"screen-reader-text\">Close definition<\/span><\/button><\/div><\/template><\/div>","protected":false},"author":2,"menu_order":20,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"front-matter-type":[],"contributor":[],"license":[],"class_list":["post-41","front-matter","type-front-matter","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/front-matter\/41","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/front-matter"}],"about":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/types\/front-matter"}],"author":[{"embeddable":true,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":8,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/front-matter\/41\/revisions"}],"predecessor-version":[{"id":845,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/front-matter\/41\/revisions\/845"}],"metadata":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/front-matter\/41\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/media?parent=41"}],"wp:term":[{"taxonomy":"front-matter-type","embeddable":true,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/pressbooks\/v2\/front-matter-type?post=41"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/contributor?post=41"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/textbook.mediasmarts.ca\/navigating-teacher\/wp-json\/wp\/v2\/license?post=41"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}