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Deepfakes and Election Trust

Nov 19, 2025

Overview

The conversation examines how AI-enabled deepfakes intensify misinformation, erode trust in truth, and complicate legal and policy responses, especially in elections.

Deepfakes and the Erosion of Truth

  • Deepfakes are becoming hyper-realistic and widely accessible to create.
  • Trust in institutions and each other is at an all-time low.
  • People are primed to accept information that confirms biases.
  • Negative, novel claims about public figures are especially persuasive.
  • A well-timed deepfake before an election could influence turnout and outcomes.
  • The environment enables credulity or doubt at will, undermining shared facts.

The “Liar’s Dividend”

  • Concept: ability to dismiss authentic media as fake to avoid accountability.
  • Coined by Danielle Citron and Bobby Chesney in a 2019 paper.
  • Arises from broad epistemic distrust and tribalism.
  • Lets subjects of true damaging videos claim fabrication.
  • Referenced example: attempts to deny the authenticity of the Access Hollywood tape.

Legal and Policy Considerations

  • Laws are blunt tools, especially in political speech and elections.
  • Crafting laws about political lies risks significant trade-offs.
  • Some areas are addressable: defamation and lies about election logistics.
  • Overbroad regulation of political speech could lead to poor policy choices.
  • Balance needed between combating deception and protecting speech rights.

Summary Points Table

TopicKey IdeaImplication
Deepfake realismTools are widespread and outputs hyper-realisticEasier creation of convincing false media
Trust environmentInstitutional and interpersonal trust is lowGreater susceptibility to misinformation
Bias dynamicsConfirmation bias drives belief adoptionHeightened impact of negative, novel claims
Election riskTimed deepfakes can sway turnoutPotential to alter electoral outcomes
Liar’s DividendTruthful media can be denied as fakeAccountability avoidance becomes easier
Legal limitsPolitical speech regulation is fraughtRisk of overreach and rights infringement
Regulable areasDefamation; false election infoNarrow legal paths are more viable

Key Terms & Definitions

  • Deepfake: Synthetic audio or video portraying someone doing or saying things they did not.
  • Liar’s Dividend: The advantage gained by claiming authentic media is fake, enabled by general distrust.

Action Items / Next Steps

  • Prioritize narrow legal approaches on defamation and false election logistics.
  • Develop non-legal strategies: verification norms, media literacy, rapid debunking.
  • Monitor election-period risks from well-timed deceptive media.