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Digital Bodies,
Real Harm

Why Deepfake Pornography Demands a New Privacy and Speech Framework

By Gregory L. Ewing · Ewing Journal investigation

Synthetic image used for critical commentary and illustration

Photo via Twitter user @ZvbearA. 2024. A digitally altered, sexually explicit image falsely depicting pop star Taylor Swift, illustrating how deepfake imagery can place individuals into sexualized or public settings without consent.

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Editorial disclaimer

This report examines nonconsensual synthetic sexual imagery.

The feature discusses deepfake pornography, privacy violations and sexualized image abuse for reporting, legal analysis and public-interest education. It does not reproduce explicit material. The opening image is a non-explicit synthetic illustration used to show how manipulated media can falsely place a person in a public setting.

The central argument

A deepfake does more than communicate a lie.

When a real person’s face is forced into sexual imagery without consent, the injury extends beyond falsity and reputation. It reaches identity, dignity, sexual autonomy, employment, emotional wellbeing, and control over public appearance.

The core injury is the loss of control over one’s sexual self.

The main study

1,141

Participants in a nationally balanced survey experiment discussed in the article.

Public judgment is ahead of legal doctrine.

Participants overwhelmingly viewed nonconsensual pornographic deepfakes as harmful, morally blameworthy, and deserving of serious legal punishment. Labeling the video fake barely changed that judgment.

Scenario laboratory

Does changing the context change the harm?

Perceived harm

Extremely high

Moral blame

Extremely high

Legal response
The public-posting scenario generated the strongest condemnation. Only around seven or eight percent believed it should not be a crime.

Scale of access

The tools are no longer rare or technically remote.

A 2025 empirical study identified almost 35,000 downloadable deepfake model variants. Researchers reported nearly 15 million downloads since November 2022, and found that 96% of the identified models targeted women.

Model variants
~35,000
Downloads
~15 million
Models targeting women
96%

Source: Hawkins, Russell, and Mittelstadt, “Deepfakes on Demand” (2025). The study examined public model repositories and reports the figures above.

Documented case study

Taylor Swift: visibility did not provide immunity.

In January 2024, fabricated sexually explicit images depicting Taylor Swift spread widely online. The incident intensified public pressure on platforms and lawmakers. Swift did not issue a verified public statement specifically about those sexual images. Months later, after separate AI-generated images falsely portrayed her as endorsing a presidential candidate, she directly described her concern about synthetic misinformation.

“The simplest way to combat misinformation is with the truth.”

Taylor Swift, September 2024, responding to AI-generated election misinformation. This quote should not be misrepresented as a statement about the January explicit-image incident.

The policy clock

The law moved, but the ecosystem moved too.

2021

Northwestern Law Review publishes empirical research showing strong public condemnation of pornographic deepfakes, including labeled versions.

January 2024

The Taylor Swift incident pushes synthetic nonconsensual intimate imagery into worldwide public debate.

May 2025

The federal TAKE IT DOWN Act is signed, criminalizing certain nonconsensual intimate depictions and requiring covered platforms to respond to valid removal requests.

2026 research

Early research suggests that regulation and deplatforming may redirect activity across sites rather than eliminate it, underscoring the need for enforcement, platform design, and victim remedies.

What regulation now does

A federal floor: removal, liability, and a 48-hour clock.

Removal window
48h

Covered platforms must establish a notice process and remove qualifying material after a valid request within the statutory period.

Covered material

Real and synthetic

The law includes certain authentic nonconsensual intimate images and AI-generated “digital forgeries.”

Constitutional tension

Still unresolved

Critics have warned that broad or poorly safeguarded takedown systems can create censorship and due-process risks.

Evidence wall

Trace the argument to the record.

Empirical attitudesSexual privacyFirst AmendmentPlatform liabilityMeaningful consentDigital dignity Empirical attitudesSexual privacyFirst AmendmentPlatform liabilityMeaningful consentDigital dignity
Academic research

Deepfake Privacy: Attitudes and Regulation

Matthew B. Kugler and Carly Pace, Northwestern University Law Review, 2021. Three empirical studies on public attitudes and regulation.

Open source ↗
Empirical AI research

Deepfakes on Demand

Will Hawkins, C. Russell, and Brent Mittelstadt, 2025. Research on the accessibility and scale of downloadable deepfake model variants.

Open source ↗
Federal law

TAKE IT DOWN Act

Federal response addressing nonconsensual intimate imagery and synthetic digital forgeries, with platform removal obligations.

Open Congress record ↗
First Amendment

United States v. Alvarez

The Supreme Court rejected the premise that falsity alone places speech outside First Amendment protection.

Open case ↗
Documented incident

Swift and AI misinformation

Coverage preserving Swift’s September 2024 statement about AI-generated political misinformation and truth.

Open reporting ↗
Emerging research

Regulatory and platform shocks

A 2026 preprint examining whether activity was reduced or redistributed after major legal and platform changes.

Open source ↗

Full article

Read the complete essay.

The Northwestern article on deepfake privacy does something rare in legal scholarship. It does not just theorize harm, but it goes out and asks people what they actually think. Across three large survey studies, the authors show that ordinary people see deepfake pornography as profoundly harmful, morally blameworthy, and deserving of serious punishment. They also show that people are often ready to punish even some labeled and consensual deepfakes, and that they treat deepfake pornography as roughly equivalent to traditional nonconsensual pornography. That moral instinct is out ahead of our doctrine. Current privacy torts, defamation law, and even most nonconsensual pornography statutes simply do not reach many of the harms the participants instinctively recognize. This essay argues that the public’s attitudes, as reported in “deepfake Privacy,” should push courts and legislators toward a new framework for sexual privacy, one that treats deepfake pornography as a serious dignitary and autonomy violation that can justify both civil and criminal regulations even in the shadow of the First Amendment.1

I. What The Studies Actually Show About Deepfakes

The authors conducted multiple survey experiments with nationally balanced samples recruited through professional panels. In the main study, 1,141 participants were randomly assigned to four basic conditions: pornographic or attitudinal deepfakes, each either labeled as fake or unlabeled.2 Within each condition, respondents read a set of short vignettes about Will, who uses an app to paste faces onto videos, and then rated each scenario on moral

blameworthiness, harm to the subject, and appropriate punishment. They also answered broader policy questions at the end of the survey. The pornographic scenarios were brutal in their clarity. In the default case, Will takes public photos of his friend Jane, pastes her face onto a naked woman having sex, and posts the video with her entire name. The video looks real and Will does not say it is fake. Participants rated this conduct as very blameworthy and very harmful, with the average scores above 5 or 6 point scale, and they overwhelmingly wanted criminal punishment. Only around seven or eight percent thought this should not be a crime. Even written pornographic stories about Jane were seen as quite serious, though slightly less harmful and less deserving of punishment than the video.3

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1.​ Matthew B. Kugler and Lyrissa Barnett Lidsky, “Deepfake Privacy,” Northwestern University Law Review 116 (2021): 611.​ 2.​ Ibid., 636–38.​ 3.​ Ibid., 638–40.

The authors then varied the facts. Sometimes the deepfake subject was a celebrity like the header photo of Taylor Swift rather than a friend. Sometimes there was no nudity, only sexualized behavior like spanking or seductive language. Sometimes the video was created only for personal use rather than public posting. Surprisingly, these variations barely mattered. Whether the subject was a celebrity, whether there was nudity, or whether the video involved BDSM style spanking rather than intercourse, respondents still saw conduct as highly harmful

and criminal.4 The only substantial drop came when the deepfake subject expressly consented to a pornographic deepfake for personal use that was never shared. Even then, the sample split. Many participants still wanted to punish Will, but a large share now said this should not be a crime and that his conduct was not morally wrong. The distribution became bimodal. Some people saw consensual deepfakes as a private sexual choice. Others still saw them as disturbing.5

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5. Ibid., 641–42.

Labeling told a completely different story. For pornographic deepfakes, adding a clear label like “This is fake” barely moved the needle. There were small reductions in recommended punishment, but no meaningful shift in perceived harm or blameworthiness. For written stories, labeling mattered more. For videos that showed real looking bodies and faces, the label could not neutralize the gut sense that something deeply wrong had been done.6 The attitudinal scenarios were mixed as well. Here the deepfakes made people look like they used cocaine, shook hands with a child molester, endorsed terrorism, insulted themselves, or sang a silly campaign song. None of these videos were sexual in nature but participants still tended to see them as harmful and criminal, especially the cocaine and terrorism cases, but the ratings were lower than pornography and more sensitive to labeling and consent. Labeled attitudinal deepfakes and playful or seemingly harmless ones, like scientist describing their life, were treated as less serious, though most people still supported some form of legal sanctions.7

Two follow up studies sharpened the policy implications. In one, the authors let participants choose between no punishment, a civil lawsuit, criminal punishment, or both. Across several scenarios, most respondents chose both civil and criminal remedies. A smaller, but nontrivial group preferred civil suits only. Even fewer wanted no legal response at all.8 In the final study, the authors directly compared deepfake pornography of an ex partner to traditional nonconsensual pornography where an ex posted a real masturbation video that had been shared in confidence. Participants saw both as extremely harmful and morally wrong. If anything, they rated the deepfake scenario as slightly more blameworthy and slightly more deserving of criminal punishment.9 Taken together, the data show three big things. First, people see pornographic deepfakes as intensely harmful, roughly on the same moral level as traditional nonconsensual pornography. Second, they do not believe that labeling pornographic deepfakes as fake meaningfully cures that harm. Third, they are generally open to both criminal and civil remedies, especially for nonconsensual pornographic cases.

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6. ​Ibid., 639–40, 643.​

7. Ibid., 644–49.​

8. Ibid., 655–57.​

9. Ibid., 658–59.

II. Why People Condemn Even Consensual or Labeled Deepfakes

Some of the findings look puzzling at first. If harm in pornography is about lack of consent, why do so many participants still want to punish consensual deepfakes that are used only for private purposes? And if defamation and false light are built on falsity and reputation, why are labeled deepfakes still seen as so harmful even when viewers are told the video is fake? The article offers two overlapping explanations. One comes from moral psychology. The other comes from feminist and privacy critiques of consent. For moral psychology , the authors draw on research about moral dumbfounding and disgust. People often have an immediate intuitive reaction that something is wrong and only later search for rational justifications.10 Deepfakes are strange, technologically novel, and often used in situations that feel humiliating. That weirdness and disgust can bleed across contexts. Once people have seen a pornographic deepfake in their mind, they may carry that same feeling into much softer, even consensual, cases and still want to condemn them. Work on “dyadic morality” also suggests that once people see a practice as harmful, they will also see it as immoral, and that this harm and wrongness feed each other in a loop.11 Deepfakes look harmful, so they feel wrong and because they feel wrong, people imagine more harm.

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10. Jonathan Haidt, Fredrik Björklund, and Scott Murphy, “Moral Dumbfounding: When

Intuition Finds No Reason” (unpublished manuscript, 2000), discussed in Kugler and Lidsky, “Deepfake Privacy,” 661–63.​

11. Chelsea Schein and Kurt Gray, “Moralization and Harmification: The Dyadic Loop

Explains How the Innocuous Becomes Harmful and Wrong,” Psychological Inquiry 27 (2016): 62–65.

From feminist legal scholarship, the article surrounding deepfake consent in a world where gender and power already shape who is sexualized, who is targeted, and who bears the risk. Pornographic deepfakes overwhelmingly target women, often young women, and are usually created by men. Even where the scenarios describe “consent,” nothing in the vignette tells us that the woman fully understands the technology, the risks of redistribution, or the long tail of images on the internet. The authors connect this to broader feminist critiques of how consent operates under the conditions of inequality, as well as to Daniel Solov’s work on how privacy “self management” breaks down when people cannot really foresee how their data or their image will be used.12 Seen through that lens, it is not irrational for participants to be skeptical of consent in a deepfake scenario. It might be formal consent, but not fully informed or freely given in a meaningful sense. Participants in the survey do not have the vocabulary of feminist theory at hand, but their instincts line up with it. They seem to be saying: once you build this kind of deepfake file of somebody’s naked body, even with their nominal permission, you are lighting a fuse that cannot be put out if it ever leaks, gets hacked, or is reused.

12. Daniel J. Solove, “Privacy Self Management and the Consent Dilemma,” Harvard

Law Review 126 (2013): 1880–1903.

III. Law Behind the Curve: Tort Limits, the First Amendment, and Path Forward

Once we take the survey results seriously, the legal gap becomes painfully obvious. Traditional privacy torts do not really reach deepfake pornography. Intrusion upon seclusion targets invasive access to private spaces, not the reuse of public images in fabricated videos. Public disclosure of private facts requires that the information disclosed be truthful and private, while deepfakes are fabricated from public images. Defamation and false light require falsity, but if a pornographic deepfake is clearly labeled as fake or posted on a site dedicated to fantasy material, courts may see no actionable “false statement” about the subject’s real life.13 The very fact that labeling does not comfort victims or survey respondents exposes the mismatch between doctrine and dignitary harm. The First Amendment is another barrier. The Supreme Court in United States v. Alvarez held that falsity alone is not enough to strip speech of constitutional protection. The government can punish false speech when it is tied to fraud, defamation, or other legally recognized harms, but it cannot criminalize lies simply because they are lies.14 That means lawmakers cannot just outlaw all deepfakes as false videos. They need a more precise interest. The clearest path, and the one article leans into, is to treat deepfake pornography as part of the same family as nonconsensual pornography and morph it under or with child pornography. Dozens of states now have criminal and civil statutes targeting nonconsensual pornography, often called revenge porn. When those statues have been challenged, state supreme courts in Vermont, Illinois, Minnesota, and Texas have upheld them recognized a compelling or substantial state

interest in protecting sexual privacy, preventing reputational and psychological harm, and reducing coercion and harassment.15 Courts have upheld bans on morphed child pornography that pastes a real child’s face onto an adult body. Even though the underlying image is partly fabricated, the use of an identifiable minor’s likeness justifies

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13. Kugler and Lidsky, “Deepfake Privacy,” 660–61.​

14. United States v. Alvarez, 567 U.S. 709 (2012).​

15. State v. VanBuren, 214 A.3d 791 (Vt. 2019); People v. Austin, 155 N.E.3d 439 (Ill.

2019); State v. Casillas, 952 N.W.2d 629 (Minn. 2020); Ex parte Jones, No. PD 0552 18, 2021 WL 2126172 (Tex. Crim. App. May 26, 2021).

treating it like real child pornography, because it exposed that child to reputational and emotional harm and ties them to sexualized images they never consented to.16 If we take the survey seriously, adults victims of deepfake pornography experience a similar type of harm. Their real faces and names are tied to videos that depict them nude, masturbating, or having sex, in ways that threaten their employment, emotional wellbeing, and social standing. Participants in the study rated deepfake pornography as almost as harmful as, and slightly more blameworthy than, traditional nonconsensual pornography. They also strongly favored allowing both civil suits and criminal prosecution.17 That public judgment gives courts a stronger foundation to say what the doctrine has hinted all along: there is compelling state interest in protecting sexual privacy and in preventing

the nonconsensual sexualization of people’s bodies and identities, even when the underlying images are partially fabricated. On the attitudinal side, Alvarez and general First Amendment principals suggest that broad bans on political or satirical deepfakes will be much harder to sustain, especially when they are clearly labeled. But pornographic deepfakes occupy a different space. They are not just false statements. They are forced sexual performances, imposed on someone’s image without their meaningful permission.

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16. See, for example, Doe v. Boland, 698 F.3d 877 (6th Cir. 2012); United States v.

Hotaling, 634 F.3d 725 (2d Cir. 2011).​

17. Kugler and Lidsky, “Deepfake Privacy,” 655–59.

A sensible legal framework, then, would do at least three things. First, it would create explicit criminal and civil cases as causes of action for nonconsensual pornographic deepfakes, whether or not they are labeled as fake, focusing on distribution and not just creation. Second, it would adopt robust consent requirements like New York’s deepfake statute, including plain language agreements and clear descriptions of the consent and its uses, while still allowing courts to invalidate coerced or uninformed “consent.”18 Third, it would approach attitudinal deepfakes more cautiously, using tools like labeling requirements, election specific protections near voting dates, and strengthened defamation remedies rather than broad criminal bans.

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18. N.Y. Civ. Rights Law § 52 c(3) (McKinney 2021).

Conclusion

The Northwestern deepfake study makes clear that ordinary people already understand what the law still struggles to name. When someone takes your face and paste it onto a naked body that is having sex on screen, they have done more than lie about you. They have hijacked your sexual identity, your dignity, and your control over how you appear in public. Labeling that video as “fake” does not fix the harm. In some ways it just underlines that your body and your image can be used without your consent. The survey participants' intuition that pornographic deepfakes belong in the same moral and legal category as nonconsensual pornography should not be dismissed as overreaction or confusion. It is a grounded reaction to a new technology that makes it cheap and easy to turn anyone into sexual content. The law of privacy, defamation, and free speech has not yet caught up to this reality. But the data in “Deepfake Privacy” give lawmakers and courts both a map of public judgment and warning. If we continue to treat deepfake pornography as a quirky problem of falsity or satire, we will miss the core injury : the loss of control over one;s sexual self. A modern framework for

sexual privacy should recognize that harm and be willing, even in a speech protective system, to draw a bright line around the nonconsensual sexualization of real people’s images.

Bibliography

Articles and Academic Sources

Chapman, A. Deepfake Harassment and Feminist Harm Theory. University of Mary Washington Research Journal, 2024. Chesney, Robert, and Danielle Keats Citron. “Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security.” California Law Review 107 (2019). Citron, Danielle Keats. “Sexual Privacy.” Yale Law Journal 128 (2019). Citron, Danielle Keats, and Mary Anne Franks. “Criminalizing Revenge Porn.” Wake Forest Law Review 49 (2014). Haidt, Jonathan, Fredrik Björklund, and Scott Murphy. “Moral Dumbfounding: When Intuition Finds No Reason.” Unpublished manuscript, 2000. Kugler, Matthew B., and Lyrissa Barnett Lidsky. “Deepfake Privacy.” Northwestern University Law Review 116 (2021): 611–662. Schein, Chelsea, and Kurt Gray. “Moralization and Harmification: The Dyadic Loop Explains How the Innocuous Becomes Harmful and Wrong.” Psychological Inquiry 27, no. 1 (2016): 62–65. Solove, Daniel J. “Privacy Self-Management and the Consent Dilemma.” Harvard Law Review 126 (2013): 1880–1903. Books / Casebook

Eskridge, William N., Nan Hunter, and Courtney G. Joslin. Sexuality, Gender, and the Law. 5th ed. St. Paul, MN: West Academic, 2023. News / Journalism Beckett, Lois. “California Students Left Reeling after Deepfake Porn.” The Guardian. October 2023.

Statutes / Primary Law Sources N.Y. Civil Rights Law § 52-c (McKinney 2021). Cases Cited American Booksellers Ass’n v. Hudnut, 771 F.2d 323 (7th Cir. 1985).​ Doe v. Boland, 698 F.3d 877 (6th Cir. 2012).​ Ex parte Jones, No. PD 0552 18, 2021 WL 2126172 (Tex. Crim. App. May 26, 2021).​ Lawrence v. Texas, 539 U.S. 558 (2003).​ People v. Austin, 155 N.E.3d 439 (Ill. 2019).​ State v. Casillas, 952 N.W.2d 629 (Minn. 2020).​ State v. VanBuren, 214 A.3d 791 (Vt. 2019).​ United States v. Alvarez, 567 U.S. 709 (2012).​ United States v. Hotaling, 634 F.3d 725 (2d Cir. 2011).

“They have done more than lie about you. They have hijacked your sexual identity, your dignity, and your control over how you appear in public.”

Reader action · protection and support

If your image or likeness has been used without consent

Move at the pace that feels safest. Preserve what you can, use the platform’s formal reporting process, and reach qualified support when the conduct involves threats, stalking, extortion, intimate imagery, or a child.

If you are in immediate physical danger, contact local emergency services. If someone may be monitoring your device, consider using a safer device before opening help resources.

Preserve evidence

If it is safe to do so, document the material before requesting removal.

  • Save the page as a PDF and take full-screen screenshots.
  • Capture the URL, date, time, username, account information, messages, and report numbers.
  • Store copies securely; do not repost the material publicly as proof.

Understand your rights

Federal and state protections are not identical. The U.S. Department of Justice explains the federal civil action for sharing intimate images without consent; CCRI maintains a state-law overview.

Informational resource directory—not legal advice.External resources reviewed August 9, 2026.