Disinformation Techniques

Module 1 

Combating Online Misinformation to Prevent Radicalisation of Vulnerable Adults

Erasmus+ Project # 2025-1-NL01-KA220-ADU-000358363

Learning Goal:

Understand how misinformation and disinformation are created, spread and amplified in digital environments, and recognise the techniques and mechanisms that make misleading content persuasive.

Lessons

1.1. Typology of Disinformation

  • Misinformation, disinformation, and malinformation.
  • Political, economic, and ideological motives behind manipulation.

1.2. Propaganda and Persuasion Techniques

  • Repetition, appeal to emotion, authority bias, false balance.
  • Visual manipulation, memes, and emotional storytelling as persuasion tools.

1.3.Information Ecosystems

  • Algorithms, filter bubbles, echo chambers
  • The role of influencers, bots, and coordinated inauthentic behaviour.

1.4. Case Studies

  • European examples: EUvsDisinfo, StopFake, and others.
  • Disinformation targeting migrants, refugees, and youth audiences.

1.5. Interactive simulation 

  • “Spot the Manipulation” – choose which post contains bias, explain why it feels believable.
  • Reflective Journal: “Think of a viral post you encountered. Which techniques did it use?”

What is misinformation?

1 / 10

What is the role of echo chambers in the spread of misinformation?

2 / 10

How does social consensus influence misinformation belief?

3 / 10

What is the main difference between misinformation and disinformation?

4 / 10

What is the goal of “scientific window-dressing” (formulas, graphs, brain images)?

5 / 10

What is greenwashing?

6 / 10

What distinguishes scientific misinformation from other types of misinformation?

7 / 10

Which misinformation prevention strategy is most effective? 

8 / 10

Why do people often trust misinformation shared by friends more than official sources?

9 / 10

Why filter bubbles are formed on social media?

10 / 10

Why corrections often fail to reduce the influence of misinformation?

Your score is

The average score is 83%

0%