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Curriculum

This section explores the historical, political, and technological contexts of disinformation. It provides definitions, differentiates misinformation, disinformation, and malinformation, and introduces participants to the fundamental principles of information theory.

Understanding the Landscape

This section explores the historical, political, and technological contexts of disinformation. It provides definitions, differentiates misinformation, disinformation, and malinformation, and introduces participants to the fundamental principles of information theory.

Here we examine how disinformation is created, amplified, and weaponised. Attention is paid to algorithms, virality, human psychology, and the economic drivers of the disinformation industry.

The Mechanics of Disinformation

Here we examine how disinformation is created, amplified, and weaponised. Attention is paid to algorithms, virality, human psychology, and the economic drivers of the disinformation industry.

This section focuses on practical manifestations: deepfakes, synthetic text, bot networks, troll farms, and memetic warfare. Case studies demonstrate how these tools are deployed in real-world contexts.

Tactics and Technologies

This section focuses on practical manifestations: deepfakes, synthetic text, bot networks, troll farms, and memetic warfare. Case studies demonstrate how these tools are deployed in real-world contexts.

Equipping participants with robust frameworks such as the CRAAP test, this section highlights biases and cognitive vulnerabilities. Practical exercises guide learners in fact-checking and information verification.

Critical Thinking and Digital Literacy

Equipping participants with robust frameworks such as the CRAAP test, this section highlights biases and cognitive vulnerabilities. Practical exercises guide learners in fact-checking and information verification.

Artificial Intelligence is presented as both a risk and a solution. We explore its use in generating false content and in designing detection and mitigation systems.

AI and the Disinformation Ecosystem

Artificial Intelligence is presented as both a risk and a solution. We explore its use in generating false content and in designing detection and mitigation systems.

This section provides actionable approaches at organisational, policy, and individual levels. It stresses digital hygiene, narrative inoculation, and crisis response strategies.

Strategies for Mitigation

This section provides actionable approaches at organisational, policy, and individual levels. It stresses digital hygiene, narrative inoculation, and crisis response strategies.

Interactive exercises allow participants to apply theoretical knowledge to real-world inspired scenarios. This reinforces their ability to respond to disinformation campaigns.

Scenario-Based Learning

Interactive exercises allow participants to apply theoretical knowledge to real-world inspired scenarios. This reinforces their ability to respond to disinformation campaigns.

Here we address the broader policy landscape: regulation, platform responsibility, media literacy programmes, and cross-sectoral collaboration. The emphasis is on long-term resilience building.

Building Societal Resilience

Here we address the broader policy landscape: regulation, platform responsibility, media literacy programmes, and cross-sectoral collaboration. The emphasis is on long-term resilience building.

This section critically examines the ethical dilemmas of combating disinformation, including censorship concerns, freedom of expression, and the global dimension of information integrity.

Ethical Considerations

This section critically examines the ethical dilemmas of combating disinformation, including censorship concerns, freedom of expression, and the global dimension of information integrity.

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