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What is a Deepfake? Definition & How It Works

Quick definition

A deepfake is synthetic media — usually video or audio — in which AI is used to convincingly replace or fabricate a real person’s likeness or voice.

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Deepfake, explained

Part of the SocialKit social media glossary — browse every term.

What a deepfake is

A deepfake is media generated or altered using machine-learning techniques to make a person appear to say or do something they never did. The name blends "deep learning" with "fake." The technology can swap one face onto another body, synthesise a person’s voice from samples, or fabricate an entirely realistic clip from scratch. Quality has advanced rapidly since the technique gained public attention around 2017–2018, and by 2026 convincing deepfakes are far easier to produce than they once were. The same underlying methods power legitimate uses — dubbing, visual effects, accessibility tools — but the term is most associated with deceptive or non-consensual applications.

How it shows up on social media

Deepfakes circulate as fabricated videos of public figures, cloned-voice audio, face-swap clips, and manipulated images. On social platforms they raise serious concerns around misinformation, scams that impersonate executives or celebrities, non-consensual imagery, and reputational attacks. Platforms have responded with disclosure requirements for AI-generated or manipulated media, detection efforts, and policies against harmful synthetic content, though enforcement is an ongoing challenge. The rise of deepfakes has also fed broader audience scepticism, where genuine footage is sometimes dismissed as fake.

What it means for brands and creators

For brands, deepfakes are primarily a risk to manage: impersonation of executives or the brand itself, fabricated endorsements, and manipulated content that damages reputation. Practical defences include clear verification of official channels, watermarking or provenance signals on genuine content, and a crisis-response plan for when fabricated media appears. Creators face the added risk of their own likeness being cloned. Honest disclosure of any legitimate AI-generated content you produce is both an emerging norm and, increasingly, a platform requirement.

Where SocialKit fits

SocialKit doesn’t detect deepfakes, but when you need to respond to fabricated content fast, it lets you publish a coordinated clarification across all 11 platforms from one place so your official message reaches every audience at once.

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FAQ

Deepfake: common questions

Quick answers to the questions people ask most about this term.

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