Why Deepfakes Are Bad and Risky

Everyone · Explainer · Updated October 1, 2026 · LearnLife Editorial

What Are Deepfakes in Simple Terms?

Deepfakes are artificial media—videos, images, or audio—created or altered using advanced artificial intelligence (AI) to make it look like someone said or did something they never did. Imagine a video where a celebrity appears to endorse a product or make a controversial statement but never actually recorded it. This is a deepfake. The name “deepfake” combines “deep learning,” a type of AI that learns patterns from data, with “fake,” reflecting that these media are sophisticated fabrications. Unlike simple photo edits or basic video cuts, deepfakes use algorithms to mimic facial expressions, mouth movements, and voice tones with high accuracy, making them very difficult to detect with the naked eye. They are often shared on social media or messaging apps, where they can quickly reach large audiences.

Deepfakes can be used for entertainment, but their realism carries risks, especially when used without consent or to deceive. For example, a deepfake might show a politician saying something false or a private individual in compromising situations that never happened. Understanding what deepfakes are helps you recognize why people worry about their impact on trust and safety in digital spaces.

How Do Deepfakes Work? A Clear, Step-by-Step Example

Deepfakes are made using a process called deep learning, where AI is trained on huge datasets of a person’s photos, videos, and voice recordings. Here’s a simple example of how a deepfake video is created:

1. Data Collection: The AI collects thousands of images and videos of a person from public sources like YouTube or social media, capturing various facial angles, expressions, and speech patterns.
2. Model Training: The AI model learns how the person looks and moves. It studies details such as how their mouth moves during speech, how their eyes blink, and how their face shifts with emotions.
3. Video Generation: The creator writes a script or provides audio they want the person to “say.” The AI then synthesizes a video by mapping the script’s audio onto the person’s learned facial movements, adjusting lip-sync and expressions to match.
4. Refinement: The video is polished to reduce glitches like unnatural blinking or mismatched lighting, making it look as realistic as possible.

For example, if a deepfake creator wants to make a fake endorsement from a famous actor, they input the actor’s photos and videos, then feed the AI a recorded message or script. The AI outputs a video showing the actor clearly and smoothly saying the message, even though they never recorded it. This technology can also create fake voice recordings by analyzing and mimicking a person’s voice tone and rhythm, making audio deepfakes just as convincing as videos.

The technical complexity behind deepfakes means many people cannot easily spot them, increasing the risk of deception.

Why Do Deepfakes Matter to Everyone?

Deepfakes matter because they affect how much people can trust what they see and hear online. In daily life, videos and audio help people make decisions—whether about news, politics, or personal relationships. If these media can be faked convincingly, it becomes harder to know what is true, which can lead to serious consequences.

For instance, imagine seeing a video where a public official appears to admit wrongdoing. Even if it’s a deepfake, some people might believe it, leading to public outrage or political instability. On a personal level, deepfakes can be used to create false videos of someone engaging in embarrassing or harmful behavior, affecting jobs, friendships, or family relationships.

Financially, deepfakes can enable scams. For example, a deepfake phone call might mimic a boss’s voice, instructing an employee to transfer money to a fraudulent account. Because these fakes sound authentic, people may act quickly without verifying.

For parents and educators, deepfakes present challenges in teaching media literacy and digital safety. Young people might share deepfakes without realizing their potential harm or be victims of deepfake bullying or harassment. In all these ways, deepfakes change the way we interact with digital content and why it is critical to approach online videos and audio with caution.

What Are Common Terms People Confuse with Deepfakes?

Many people confuse deepfakes with other types of fake or manipulated media. Clearing up these terms helps avoid misunderstandings:

• Photoshopped Images: These are manually edited pictures where elements are added, removed, or altered. Unlike deepfakes, they usually don’t involve AI-generated video or audio and are often easier to detect.
• Face Swap Apps/Filters: Popular social media filters that swap faces for fun are not true deepfakes unless AI creates realistic, deceptive videos meant to mislead.
• Fake News: This is false or misleading information presented as news. Deepfakes can be a form of fake news but specifically involve fabricated audio or video.
• Bots and Trolls: Fake accounts spreading misinformation on social media are different from deepfakes. Bots don’t make realistic videos but can amplify them.
• Synthetic Media: This is a broader term that includes all AI-created content, including harmless virtual avatars or synthetic voices used in video games or movies. Deepfakes are a specific subset intended to impersonate real people.

By identifying these differences, people can better recognize when they are dealing with a deepfake and not just any manipulated media.

Why Are Deepfakes Dangerous and a Problem?

Deepfakes pose serious dangers for individuals and society, including:

• Spreading Misinformation and Propaganda: Deepfakes can falsely show politicians or public figures making inflammatory or untrue statements, influencing public opinion or elections unfairly.
• Personal Harassment and Exploitation: Deepfake pornography or embarrassing videos can be created without a person’s consent, damaging reputations and causing emotional trauma.
• Financial Fraud: Scammers use voice deepfakes to impersonate executives or family members, tricking victims into sending money or revealing private information.
• Legal and Social Harm: Victims may suffer harassment, lose employment, or face social isolation due to false portrayals in deepfake media.
• Erosion of Trust: When people cannot trust video or audio evidence, it can undermine justice, journalism, and everyday communication.

For example, suppose a deepfake video falsely shows a person confessing to a crime. Even if proven false later, the damage to their reputation may be irreversible. This creates a chilling effect where people question authentic evidence, making it harder to hold wrongdoers accountable.

Understanding these risks highlights why deepfakes are a problem that affects everyone—from individuals to governments.

How Can You Protect Yourself from Deepfakes?

Protecting yourself involves vigilance and using practical strategies to evaluate digital content:

• Verify the Source: Always check if a video or audio clip comes from a trusted news site, official channel, or credible source.
• Look for Red Flags: Blinking patterns that seem too fast or too slow, unnatural facial movements, mismatched lighting, or odd audio glitches can indicate a deepfake.
• Cross-Check Information: Compare the content with multiple reliable sources before accepting it as fact.
• Pause Before Sharing: Don’t immediately forward content that evokes strong emotions or seems sensational. Take time to verify.
• Use Fact-Checking Websites: Sites dedicated to debunking false information can help confirm if a video is a deepfake.
• Stay Updated on Detection Tools: Some apps and online services can analyze videos for signs of manipulation; learning about these tools improves your ability to spot fakes.
• Educate Others: Share knowledge of deepfakes with family and friends, especially young people, to build a community aware of digital risks.

For example, if you see a viral video of a celebrity saying something shocking, search for official statements or news coverage before believing or sharing it. This habit reduces the spread of harmful misinformation.

What Should You Do if You Suspect a Deepfake?

If you suspect a video or audio might be a deepfake, take these concrete actions:

1. Don’t Share It: Avoid spreading potential misinformation while you verify.
2. Report It to the Platform: Social media sites often have tools to report misleading or harmful content. Use these to alert moderators.
3. Inform People Involved: If you know the person targeted by the deepfake, let them know so they can take steps to protect themselves.
4. Seek Support: Contact trusted adults, legal aid, or organizations specializing in digital abuse if the deepfake involves harassment or exploitation.
5. Consult Fact-Checkers: Check reputable fact-checking websites or news sources for confirmation or debunking.
6. Contact Authorities if Necessary: If the deepfake involves threats, scams, or criminal acts, report to local law enforcement or the FBI Internet Crime Complaint Center.

Taking these steps can limit the harm caused by deepfakes, protect victims, and help maintain trust in digital content.

How Do Deepfakes Relate to Media Literacy and Digital Safety?

Deepfakes highlight the critical need for media literacy—the ability to critically analyze and evaluate information found online. Because deepfakes blur lines between reality and fiction, people must develop skills such as:

• Questioning Sources: Always ask who created the content and why.
• Recognizing Bias: Be aware of emotional or political motives behind content.
• Verifying Facts: Cross-check information across multiple trustworthy outlets.
• Understanding Technology: Learn how AI can create realistic fakes.
• Promoting Responsible Sharing: Think before posting or forwarding content.

Digital safety also involves protecting personal information that could be used to create deepfakes, such as photos or videos shared publicly. Parents and educators can use deepfake examples to teach young people about online risks and ethical technology use.

Overall, developing media literacy and digital safety awareness empowers everyone to better handle the challenges deepfakes present, reducing their harmful impact on society.

For more about the origins and societal effects of deepfakes, see Why Were Deepfakes Created and Their Purpose and How Deepfakes Affect People and Society.

Frequently asked questions

What does the term "deepfake" mean?

"Deepfake" refers to AI-generated or AI-altered videos and audio that realistically imitate real people saying or doing things they never did. The name comes from “deep learning” (a type of AI) combined with “fake,” describing realistic but fake media meant to deceive.

Why are deepfakes considered a problem for society?

Deepfakes spread false information, damage reputations, and enable scams or harassment. Because they can be very realistic, people may believe them, which causes confusion, mistrust, and harm to individuals and communities.

How can I tell if a video is a deepfake?

Look for unusual facial features like unnatural blinking, inconsistent lighting, or mismatched lip-sync. Also verify if the video is from a trustworthy source and check fact-checking websites before believing or sharing it.

Are all AI-generated videos deepfakes?

No. Some AI-generated videos are for entertainment or education and are clearly labeled. Deepfakes specifically aim to impersonate real people in a deceptive way.

What should I do if I see a deepfake targeting me or someone I know?

Don’t share the content. Report it to the platform hosting it, seek support from trusted adults or legal advisors, and consider contacting organizations that help remove harmful digital content.

Can deepfakes ever be used positively?

Yes, deepfakes have uses in film, education, and creative arts when used ethically and with consent. However, their risks require awareness and caution to prevent misuse.