| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor - Lecturer - Tutor
Patricia Koromvokis
Contact via By email
By appointment
Unit Convenor - Lecturer
Jasna Novak Milic
Contact via By email
By appointment
Lecturer
Wes Robertson
Lecturer
Tom Baudinette
Lecturer
Brian Ballsun-Stanton
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|---|---|
| Credit points |
Credit points
10
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| Prerequisites |
Prerequisites
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| Corequisites |
Corequisites
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| Co-badged status |
Co-badged status
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| Unit description |
Unit description
How do platforms, algorithms, and data systems shape how we live, work, and relate to one another? This unit explores the digital infrastructures embedded in everyday life, from social media feeds and predictive text to biometric scans and algorithmic recommendations. Rather than focusing on technical skills, students analyse these systems as cultural and political forces that influence identity, behaviour, and opportunity. Topics include platform design, data ethics, surveillance, digital labour, and bias in AI. Students will investigate how algorithmic decisions affect everything from job applications to dating, and how digital environments reinforce or challenge norms around gender, race, class, and power. A core feature of the unit is working with generative technologies through prompt development and reflection. Students will learn how prompts shape both ideas and outputs, and how interacting with AI involves a form of co-authorship between human intention and machine logic. Prompt-writing becomes a method for interrogating what these systems value, who they centre, and how they construct meaning. By the end of the unit, students will be equipped to critically map the digital systems shaping their world, and ask informed, ethical questions about their design, impact, and future.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
LATE SUBMISSION OF ASSESSMENT TASKS
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a mark of ‘0’ (zero) will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11.55pm. A 1-hour grace period is provided to students who experience a technical issue.
This late penalty will apply to non-timed sensitive assessment (including essays, reports, posters, portfolios, journals, recordings etc). Late submission of time sensitive tasks (such as tests/exams, performance assessments/presentations, scheduled practical assessments/labs etc) will only be addressed by the unit convenor in a Special consideration application. Special Consideration outcome may result in a new question or topic.
The granting of extensions is subject to the university’s Special Consideration Policy. Extensions will not be granted by unit conveners or tutors, but must be lodged through Special Consideration: https://students.mq.edu.au/study/assessment-exams/special-consideration
GRADE APPEAL POLICY
Macquarie University operates a Grade Appeal Policy: https://students.mq.edu.au/study/assessment-exams/appeals/grade-appeal
| Name | Weighting | Hurdle | Due | Groupwork/Individual | Short Extension | AI Approach |
|---|---|---|---|---|---|---|
| Platform Report | 25% | No | 04/09/2026 | Individual | Yes | Open |
| Online Community Presentation | 35% | No | From Week 9 until week 13 | Individual | No | Open |
| Policy Proposal | 40% | No | 06/11/2026 | Individual | Yes | Open |
Assessment Type 1: Written Submission
Indicative Time on Task 2: 10 hours
Due: 04/09/2026
Weighting: 25%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open
Choose from selected digital platforms/online communities and report on how affordances, algorithms, moderation and community norms shape participation, identity and visibility.
Assessment Type 1: Presentation task
Indicative Time on Task 2: 35 hours
Due: From Week 9 until week 13
Weighting: 35%
Groupwork/Individual: Individual
Short extension 3: No
AI Approach: Open
A presentation based on the case from Assessment 1. Explain key patterns, issues or developments in how communities utilize the platform, forecast future developments in the platform and its users and communitcate your findings to a specific audience.
Assessment Type 1: Professional task
Indicative Time on Task 2: 35 hours
Due: 06/11/2026
Weighting: 40%
Groupwork/Individual: Individual
Short extension 3: Yes
AI Approach: Open
Prepare a policy proposal addressing a platform moderation, participation, or algorithmic issue in the AI age. Identify concerns and opportunities and reccomend courses of action for a relevant stakeholder.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation.
3 An automatic short extension is available for some assessments. Apply through the Service Connect Portal.
Delivery and Resources
CLASSES
UNIT REQUIREMENTS AND EXPECTATIONS
REQUIRED READINGS
TECHNOLOGY USED AND REQUIRED
|
EEKS |
DATES |
WEEKLY FOCUS |
LECTURER |
|
Week 1 |
27/07/26 - 02/08/26 |
History of Digital Worlds |
Dr. Wes Robertson |
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Week 2 |
03/08/26 - 09/08/26 |
How and Why Do We Digital Worlds? |
Dr. Thomas Baudinette |
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Week 3 |
10/08/26 - 16/08/26 |
The Ethics of Investigating Digital Worlds |
Dr. Brian Ballsun - Stanton |
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Week 4 |
17/08/26 - 23/08/26 |
Are We Data? (Do We Matter?) |
Dr. Brian Ballsun - Stanton |
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Week 5 |
24/08/26 - 30/08/26 |
You Are What You Click: Self Presentation, Platforms, and the Generation of Culture |
Dr. Thomas Baudinette |
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Week 6 |
31/08/26 - 06/09/26 |
Extremist Cultures Online |
Dr. Brian Ballsun - Stanton |
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Week 7 |
07/09/26 - 13/09/26 |
Exploring the Affective Politics of Algorithms |
Dr. Thomas Baudinette |
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Week 8 |
14/09/26 - 20/09/26 |
Gaming Cultures |
Dr. Wes Robertson |
| RECESS | 21/09/26 - 04/09/26 | ||
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Week 9 |
05/10/26 - 11/10/26 |
Platform Governance (The Failed Dream of the Unregulated Internet) |
Dr. Wes Robertson |
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Week 10 |
12/10/26 – 18/10/26 |
Data Ethics, Consent, & Privacy |
Dr. Patricia Koromvokis |
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Week 11 |
19/10/26 – 25/10/26 |
Data Management: Who Owns Personal Data |
Dr. Jasna Novak-Milic |
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Week 12 |
26/10/26 – 01/11/26 |
Digital Labor & Inequality: Who Owns A Digital World |
Dr. Patricia Koromvokis - Dr. Jasna Novak-Milic |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
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Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
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Unit information based on version 2026.03 of the Handbook