Deepfakes

What Are Deepfakes?

Deepfakes are AI-generated or AI-manipulated media — typically video or audio — that convincingly depict people saying or doing things they never actually said or did. The term combines 'deep learning' and 'fake.' Early deepfakes (2017-2019) required significant technical skill and computing power. Today, free apps and web tools make basic deepfake creation accessible to anyone.

Use cases range from entertainment (movie visual effects, comedy) to malicious applications: political disinformation (fake speeches by leaders), financial fraud (CEO voice impersonation for wire transfers), non-consensual intimate imagery (the vast majority of deepfakes by volume), and election interference. A deepfake of Ukraine's President Zelenskyy ordering surrender appeared hours after Russia's 2022 invasion.

The Liar's Dividend

Perhaps the most insidious effect of deepfakes is not the fakes themselves but the 'liar's dividend' — the ability of anyone to dismiss authentic evidence as AI-generated. Once people know that convincing fakes exist, every piece of authentic video or audio becomes deniable. A politician caught on camera making incriminating statements can simply claim 'that's a deepfake.'

This corrosion of evidentiary trust may be more damaging than any individual fake. It undermines accountability, weakens journalism, and erodes the shared factual basis that democratic societies require. We are entering an era where seeing is no longer believing — and where the inability to trust evidence benefits those in power.

Going Deeper

The concept covered in this lesson connects to broader analytical frameworks that students of politics, diplomacy, and global affairs encounter across many topics. Mastery requires moving beyond memorization to application — understanding not just what the concept means, but how it operates in real-world contexts.

Connecting Theory to Cases

The most effective way to deepen understanding is through case-based learning. For any analytical concept, identify three to five real-world cases that illustrate it:

• One canonical case: the most-cited example, often historical.
• One contemporary case: a current situation where the concept applies.
• One contrasting case: a situation that initially seems similar but where the concept does not apply, helping you understand the boundaries.
• One contested case: a situation where scholars disagree about whether the concept applies.

Working through cases this way builds the analytical flexibility that distinguishes strong policy and diplomatic thinkers from those who can only apply concepts mechanically.

Cross-Disciplinary Connections

Political concepts rarely operate in isolation. The most sophisticated analysis connects:

• Historical context: how did this concept develop, and why did it emerge when it did?
• Theoretical lineage: which scholars and traditions have shaped how the concept is understood?
• Empirical evidence: what does systematic research show about the concept's application?
• Policy implications: how do decision-makers actually use this concept in practice?
• Critiques: what are the strongest objections to the concept's usefulness?

The layered understanding that comes from working across these dimensions is what serious political and diplomatic research requires.

Building Your Analytical Vocabulary

For MUN delegates, debate competitors, IB and AP students, and political-research practitioners, building a substantial analytical vocabulary is one of the highest-leverage skills. Each concept you genuinely master is a tool you can apply across many different situations. Make a habit of working through Model Diplomat's broader glossary coverage of related concepts, building the connections that make your analytical work more sophisticated over time.