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Brookings researchers call the "liar's dividend"
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4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Brookings Institution
Relevant to AI governance and deployment safety discussions around synthetic media, epistemic harm, and how AI capabilities can undermine democratic processes even without direct misuse of a specific system.
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Importance: 52/100organizational reportanalysis
Summary
Brookings Institution researchers examine how AI-generated disinformation, deepfakes, and algorithmic amplification on platforms like TikTok could influence the 2024 elections. A key focus is the 'liar's dividend'—the phenomenon where the mere existence of convincing deepfake technology allows bad actors to dismiss authentic evidence as fabricated. The piece analyzes both direct manipulation risks and the subtler epistemic harms of eroding trust in genuine media.
Key Points
- •The 'liar's dividend' describes how deepfake technology enables bad actors to deny real evidence by claiming it is AI-generated, undermining accountability.
- •AI tools lower the cost and skill required to produce convincing disinformation, expanding who can create influence operations at scale.
- •Algorithmic recommendation systems on platforms like TikTok can amplify synthetic or misleading content far beyond its organic reach.
- •The primary electoral risk may be less about specific viral deepfakes and more about generalized erosion of public trust in authentic media.
- •Effective responses require a combination of platform policy, media literacy, and regulatory frameworks that address both creation and distribution of synthetic media.
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| AI-Era Epistemic Security | Approach | 63.0 |
| AI-Driven Trust Decline | Risk | 55.0 |
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#### Misunderstood mechanics: How AI, TikTok, and the liar’s dividend might affect the 2024 elections
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- [Has online misinformation mattered less than we think?](https://www.brookings.edu/articles/misunderstood-mechanics-how-ai-tiktok-and-the-liars-dividend-might-affect-the-2024-elections/#has-online-misinformation-mattered-less-than-we-think)
- [How could generative AI change the online misinformation landscape?](https://www.brookings.edu/articles/misunderstood-mechanics-how-ai-tiktok-and-the-liars-dividend-might-affect-the-2024-elections/#how-could-generative-ai-change-the-online-misinformation-landscape)
- [What can be done to identify and defend against AI’s risks to elections?](https://www.brookings.edu/articles/misunderstood-mechanics-how-ai-tiktok-and-the-liars-dividend-might-affect-the-2024-elections/#what-can-be-done-to-identify-and-defend-against-ais-risks-to-elections)
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# Misunderstood mechanics: How AI, TikTok, and the liar’s dividend m
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