News in the Age of Algorithms

Active learning works because this topic demands students move beyond passive consumption of news to dissect how algorithms shape what they see. By engaging in simulations and investigations, students experience firsthand how confirmation bias and engagement metrics distort information.

• Year 10
• English
• 3 activities
• 30 min–50 min

Learning Objectives

1. Analyze how algorithmic curation influences the presentation of news stories to individual users.
2. Evaluate the credibility of digital news sources by identifying indicators of bias and sensationalism.
3. Critique the impact of 'filter bubbles' on the formation of informed opinions and civic discourse.
4. Synthesize research findings to propose strategies for media literacy in an algorithm-driven news environment.

Inquiry Circle

⏱ 40 min·Small Groups

Inquiry Circle: The Source Hunt

Give groups a sensational 'breaking news' tweet. They must use lateral reading techniques (checking other tabs, finding the original source) to determine if the story is credible, biased, or fake.

Prepare & details

How does the sensationalism of a headline impact the reader's objective understanding of an event?

Facilitation Tip: In The Source Hunt, assign each group a specific misinformation tactic to track, forcing them to notice patterns rather than just collect examples.

Setup: Groups at tables with access to source materials

Materials: Source material collection, Inquiry cycle worksheet, Question generation protocol, Findings presentation template

• Analyze
• Evaluate
• Create
• Self-Management
• Self-Awareness

Simulation Game

⏱ 50 min·Small Groups

Simulation Game: The Algorithm Game

Students act as 'algorithms' for a fictional social media site. They are given a pile of news stories and must decide which ones to 'show' to specific users based on their past interests, then discuss how this creates an echo chamber.

Prepare & details

In what ways do filter bubbles limit the exposure to diverse viewpoints in a digital space?

Facilitation Tip: During The Algorithm Game, have students physically move to different corners of the room to represent algorithmic amplification of content types.

Setup: Flexible space for group stations

Materials: Role cards with goals/resources, Game currency or tokens, Round tracker

• Apply
• Analyze
• Evaluate
• Create
• Social Awareness
• Decision-Making

Formal Debate

⏱ 30 min·Whole Class

Formal Debate: Headline vs. Fact

Present a series of clickbait headlines alongside the actual facts of the story. Students debate whether the headline is 'technically true' or 'intentionally misleading' and discuss the ethical responsibilities of news creators.

Prepare & details

How can we verify the credibility of a source when the boundaries between news and opinion are blurred?

Facilitation Tip: In the Headline vs. Fact Debate, assign each student a role (e.g., fact-checker, algorithm, news consumer) to ensure balanced participation.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Teaching This Topic

Experienced teachers approach this topic by treating algorithms as a 'black box' students can test through simulation. Start with concrete examples before abstract concepts, and emphasize that bias isn’t just in the story but in what the algorithm hides. Avoid lectures about 'media literacy'—instead, let students discover vulnerabilities in their own feeds.

What to Expect

Successful learning looks like students questioning their feeds, applying verification strategies independently, and articulating how algorithmic curation influences their understanding. They should confidently distinguish between sensationalism and substantiated reporting.

Watch Out for These Misconceptions

Common Misconception

During The Algorithm Game, watch for students assuming algorithms show them 'important' stories.

What to Teach Instead

Pause the simulation after each round to ask: 'Why did this story get amplified? What user behavior might have triggered it?' Use the game’s scoring system to reveal that engagement—not importance—drives visibility.

Common Misconception

During The Source Hunt, watch for students dismissing unfamiliar sources as 'fake' without verification.

What to Teach Instead

Require groups to use lateral reading by opening new tabs to search the source’s reputation. Provide a short list of fact-checking sites to consult, then debrief with examples of how mimicked professional sites operate.

Assessment Ideas

Exit Ticket

After The Algorithm Game, provide two headlines about the same event. Ask students to write: 1) Which headline is likely algorithmically amplified and why? 2) How might each headline influence a reader’s understanding of the event?

Discussion Prompt

After the Headline vs. Fact Debate, pose the question: 'Imagine you are a digital news curator. What three strategies would you implement to ensure your audience is exposed to diverse viewpoints, counteracting filter bubbles?' Facilitate a class discussion where students share and compare their proposed solutions.

Quick Check

During The Source Hunt, present students with a short online article and its source. Ask them to identify: 1) Two indicators of potential bias or sensationalism. 2) One question they would ask to verify the credibility of the source. Collect responses to gauge understanding of source evaluation.

Extensions & Scaffolding

• Challenge: Ask students to design their own algorithm simulation for a specific bias (e.g., political polarization).
• Scaffolding: Provide a checklist of verification questions for students to use during The Source Hunt.
• Deeper exploration: Have students track their own social media feeds for a week and present findings on algorithmic patterns.

Key Vocabulary

Algorithm	A set of rules or instructions followed by a computer to solve a problem or perform a task, often used to filter and present online content.
Echo Chamber	An environment, often online, where a person encounters only beliefs or opinions that coincide with their own, reinforcing existing views.
Filter Bubble	The intellectual isolation that can occur when websites use algorithms to selectively guess what information a user would like to see based on their past behavior.
Sensationalism	The use of exciting or shocking stories or language at the expense of accuracy, often to attract attention.
Clickbait	Content whose main purpose is to attract as many clicks as possible, often by using misleading or sensational headlines.