TNGI AI Summit '26
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Journalism, Ethics & Truth 19 mins 37 secs English Journalists, Students & Public

AI & Fake News: How Artificial Intelligence Is Changing Journalism

Mercy Ayankunle

Mercy Ayankunle

Student & Intern Journalist, Tribune Nigeria

This session, led by student journalist Mercy Ayankunle at the TNGI AI Summit 2026, explores the intersection of Artificial Intelligence (AI), journalism, and the critical challenge of fake news.

Masterclass Session Recording

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Jump to Key Session Moments

6 Key Topics
01:04 Introduction: AI, Journalism & The Challenge of Fake News
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03:23 Core Concepts of Misinformation (Mis-, Dis-, and Mal-information)
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07:56 Why False Information Spreads (Emotion, Familiarity & Trust)
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10:20 AI's Impact on Journalism (Scale, Speed, Personalization & Realism)
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14:50 Responsible AI Usage (Verification, Transparency & Accountability)
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18:33 The Verification Habit: Pause, Check, Verify, Think, Share Model
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Executive Summary

This session, led by student journalist Mercy Ayankunle at the TNGI AI Summit 2026, explores the intersection of Artificial Intelligence (AI), journalism, and the critical challenge of fake news.

Key Quotes from Mercy Ayankunle

"AI didn't create misinformation, but it has changed the landscape by increasing scale, speed, personalization, and hyper-realistic deepfakes."

— Mercy Ayankunle

"Always verify information independently; do not trust AI confidently, as it can 'hallucinate' facts."

— Mercy Ayankunle

Speaker Notes & Concept Breakdown

Authentic session concepts, frameworks, and key principles

5 Detailed Concepts
1
Core Concepts of Misinformation: - Misinformation: False content shared without the intent to deceive; the sender often believes it is true. - Disinformation: False content shared with the deliberate intent to deceive or cause harm. - Malinformation: Authentic information taken out of context or manipulated to harm someone's reputation.
2
Why False Information Spreads: - Emotion: Content that triggers anger, fear, or excitement is shared more quickly without verification. - Familiarity: We are more likely to believe claims that align with our existing biases or beliefs. - Trust: Information from trusted friends or family is often forwarded without question.
3
AI's Impact on Journalism: - Scale: The volume of content that can be produced. - Speed: The rate at which it spreads. - Personalization: Targeting content to specific audiences or languages. - Realism: Creating highly convincing synthetic images and audio (deepfakes).
4
Responsible AI Usage: - Verification: Always verify information independently; do not trust AI confidently, as it can 'hallucinate' (provide wrong facts confidently). - Transparency: Clearly label AI-generated content. - Accountability: Humans must retain judgment and take responsibility for any content they publish.
5
The Verification Habit (Pause, Check, Verify, Think, Share Model): 1. Pause: Don't react instantly to emotional content. 2. Check: Identify the source and origin. 3. Verify: Look for reliable evidence. 4. Think: Does the information make sense? 5. Share: Only distribute once you have verified the truth.

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About the Speaker

Mercy Ayankunle

Mercy Ayankunle

Student & Intern Journalist, Tribune Nigeria

Student and intern journalist at Tribune Nigeria, media researcher, and advocate for ethical reporting. Specializes in digital verification, media literacy, combating fake news, and deepfake detection in the AI era.

Session Specifications

  • Category: Journalism, Ethics & Truth
  • Duration: 19 mins 37 secs
  • Language: English
  • Audience Level: Journalists, Students & Public
  • Session Date: TNGI AI Summit '26

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