Analyzing Disinformation and Technological Manipulation

Pre-requisites
  • Basic understanding of media literacy and digital ethics
  • Familiarity with social media platforms and content verification methods
  • Knowledge of AI-driven tools like deepfakes, bots, and synthetic media
Explanation of activity

Students will work individually or in groups to:

  1. Identify real-world disinformation examples (e.g., deepfake videos, AI-generated fake news, manipulated images).
  2. Analyze the technology behind the disinformation (e.g., machine learning for deepfakes, bots for mass dissemination, altered metadata).
  3. Critically evaluate the impact of these techniques on public perception, democracy, and trust in media.
  4. Discuss ethical concerns related to technology and deception.
  5. Present findings in a structured format (written report, infographic, or presentation).
Teacher materials
  • Presentation slides on disinformation techniques
  • Case study examples of technological manipulation
  • Guidelines for evaluating sources and fact-checking
  • Discussion prompts for ethical considerations
Relevant Reading to Understand the Materials:
  • Shoaib, M. R., Wang, Z., Ahvanooey, M. T., & Zhao, J. (2023). Deepfakes, misinformation, and disinformation in the era of frontier AI, generative AI, and large AI models. arXiv preprint, arXiv:2311.17394. Retrieved from https://arxiv.org/abs/2311.17394
  • Vinay, R., Spitale, G., Biller-Andorno, N., & Germani, F. (2024). Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models. arXiv preprint arXiv:2403.03550. Retrieved from https://arxiv.org/abs/2403.03550
Further Reading to Develop the Activity/Understanding of the Topic:
Student Materials
  • Research worksheet to document disinformation examples
  • List of fact-checking websites (e.g., Snopes, FactCheck.org, etc)
  • Guidelines for identifying manipulated media
Analysis of Student Understanding
  • Formative assessment: Class discussions on findings, peer feedback on presentations
  • Summative assessment: Students submit a report analyzing at least two examples of disinformation, including a breakdown of the technology used and its effects
Assessing and Evaluation
  • Content accuracy: Correct identification of disinformation techniques
  • Critical analysis: Depth of discussion on technology’s role and impact
  • Ethical reflection: Consideration of the broader societal consequences
  • Presentation quality: Clarity, structure, and engagement in written or spoken format
Modulations
  • For beginner students: Provide pre-selected case studies instead of requiring independent research
  • For advanced students: Ask them to propose countermeasures or technological solutions to combat disinformation
  • Interdisciplinary adaptation: Can be modified for journalism, political science, or computer science courses

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