The PDF titled "Identifying AI Generated Misinformation & Deepfakes" focuses on understanding artificial intelligence (AI) and its implications in the realm of misinformation and deepfakes. It introduces concepts of AI, including machine learning, deep learning, and generative AI, while emphasizing the roles these technologies play in content creation and the dissemination of mis/disinformation. The document aims to educate readers on identifying fake versus real content, recognizing the risks associated with AI-generated misinformation, and verifying digital content through various fact-checking methods.

1. Identifying AI-Generated Misinformation &
Deepfakes
Martin Mawut
Fact-Checker & Social Media Manager,
The Claritydesk
04th, February 2026

2. Introduction
● A computer science & IT graduate from the University of
Juba.
● Working as a fact-checker & social media manager for
Claritydesk.
● Completed advanced cybersecurity internship with Al-Nafi
2025
● Worked as an IT assistant intern at Alpha Bank South Sudan
2024 - 2025.
● Completed a course on Digital Security and Safe Online
Practices for Human Rights Defenders & Fact-Checking with
Code for Africa 2025.
● And a cybersecurity smart fellowship with SafetyComm
South Sudan. 2024.
Martin Mawut
Fact-Checker
The ClarityDesk
+211928450245
martin@claritydesk.org

3. Contents
● AI Concepts.
● Types of AI (Machine Learning,
Deep Learning, Generative AI)
● How AI works in content
creation.
● Roles of AI in spreading
mis/disinformation.

4. Session Objectives
● Understand AI misinformation & deepfakes - what they are,
how they’re made, and why they’re spreading.
● Identify fake vs real content – spot red flags in AI-generated
text, images, audio, and video.
● Recognize risks – understand social, political, and security
impacts of AI misinformation.
● Verify digital content – use fact-checking, reverse searches,
metadata, and trusted tools.

5. AI Concepts
● Artificial Intelligence (AI) is technology that allows machines to learn, think,
solve problems, understand language, recognize images, and make
decisions.
● This presentation explores how AI plays a role in spreading misinformation,
its impacts, and possible solutions.

6. AI doesn’t refer to one thing
● Large Language Models. E.g., ChatGPT, DeepSeek, and Google Gemini are
trained on datasets.
● Generative Adversarial Networks (GANs). Powering Image generation
● Machine Learning. Training Machines to imitate humans
● Deepfakes: fake images, videos, or audio recordings created using AI.
Deep - Deep learning (AI technology) Fake – False or manipulated content

7. Random Face Generator
link

8. Machine Learning

9. AI Chatbots
link

10. ● Face Swap: Replacing your face with someone else’s.
● Voice cloning: use of a subject’s voice to develop a synthetic voice.
● Puppets: to make someone act, speak, or decide according to your
instructions.
● Text generation: Using AI to generate textual content
● Lips sync: modifying audios and videos so that the subject says things in their
own voice with the right tone.
● Image generation/synthesis: producing an image of an object or a person
that is not real.
Types of Deep Fakes

12. Impersonation and dis/misinformation
● Publish hoaxes & misinformation
● Falsify the identity of a celebrity or high
government official.
● Falsify and impersonate customers & users in
order to commit fraud.
● Create false online identity & profiles
Deep Fakes Harms

13. Fact-checking AI-generated content
There are good tools but first analyse it yourself.
Michelle Obama Donald Trump in prison

14. Debunking AI Content
● Critical Analysis: Zoom into the image for typical AI mistakes, e.g.,
mismatch earring, deformed fingers, legs, and backgrounds.
● Reverse Image Search: Use fact-checking tools to gather truthful evidence.
● Use AI tools like IsitAIornot and Hugging Face to determine whether AI has
been involved.
● Watch out for the aesthetic sheen. E.g., unrealistically smooth skin (no
pores, scars, or wrinkles)

15. Tools to Use.
Isitaiornot
● Upload the image onto the
website and analyse it.
● The tool will then analyse it tell
whether it is AI-generated or
human.
link

16. link
Tools to Use.
● Upload the image onto the
website and analyse it.
● The tool will then analyse it and
tell whether it is AI-generated or
human.
● No sign-up required
AiImageChecker

17. Tools to Use.
● Upload the image into the website and analyse it.
● The tool will then analyse it tell whether it is an AI
generated or human.
● No sign up required.
Hive
link

18. Is AI generated or Not?

19. Summary
● Do your own analysis; don’t just rely on tools.
● Apply critical thinking. Is it the same with what you know about the subject?
Again, Use Tools.

20. 1. Accuracy and Reliability: Outputs
must not be treated as final truths. Always
cross-check results with trusted human
sources.
2.Transparency: Be clear when AI tools
are used. Disclose which AI tools or
methods were used to verify content.
3. Accountability: Humans, not AI, must
be responsible for final decisions.
AI Ethics Principles
4. Bias Awareness and Fairness:
Regularly evaluate AI tools for bias and
unfair outcomes.
AI may unfairly flag true content as false
due to limited training data.
5. Privacy and Data Protection:
Respect data protection laws and ethical
data handling standards. Verification
should not violate human rights.

21. Q&A and Closing Remarks
Thank you for your time!
Comments, Observations, Objections
Connect with me.
https://medium.com/@mawutmartin
www.linkedin.com/in/martinmawut

22. Identifying AI-Generated Misinformation & Deepfakes
Martin Mawut
Fact-Checker | The ClarityDesk
martin@claritydesk.org | +211910706303