Harm:

Manipulated Media / Deep Fakes

Definition: Inauthentic media that passes itself off as authentic.
Motivation:
Ideological
Legal Status:
Can be illegal
Platform ToS:
Violates Policy
Victim Visibility:
Unaware
Classification:
Contextually Sensitive
TSPA Abuse Type:
None

Deepfakes are AI-generated, manipulated or synthetic media that falsely depict events, often with the intention of swaying public perception or causing emotional harm.

Deepfakes are most common in political and sexual contexts. In political cases, deepfakes aim to tarnish the reputation of a public figure or attribute false ideas or inappropriate behavior to them. Rapid dissemination is crucial for political impact, since once a deepfake is unmasked, it is fairly straightforward to block its further spread. Because they are typically not distributed through fact-checked channels, social networks play the primary role for the distribution (and impact) of political deepfakes. In sexual cases, abusers create fake videos in order to harm the target's reputation, for blackmail purposes, or for personal/sexual use. The violation of the target's right to control their image and likeness is a key concern in all instances, though reputation and financial harms can also be devastating.

Platforms play a role in facilitating deepfake creation by hosting data such as a user's voice, appearance, and mannerisms, which are essential for generating believable deepfakes. Moreover, platforms provide tools for uploading, editing, and disseminating content, enabling the widespread distribution of deepfakes. The prioritization of engagement by these platforms amplifies the impact of deepfakes, as their sensational nature thrives in environments of maximum user engagement, leading to increased distribution and potential harm.

What features facilitate Manipulated Media / Deep Fakes?

Recommendation
A platform proactively inserting content into a user's view.
File/Link Sharing
The capacity of one user to publish or share files or links with other users.

How can platform design prevent Manipulated Media / Deep Fakes?

Media Provenance
Record and display the chain of custody and original source for media.
Crowdsourced Annotations
Allow users to add context to the posts of others when it is widely seen to be useful.
Crowdsourced Metadata
Allow users limited access to content metadata, and enable them to highlight this on the posts of other users.
Because they typically require large number of impressions to be impactful:
Limited Number of Subscriptions
By limiting the number of subscribers (or the number of subscriptions), a platform can design toward real-world connections, and away from exponential scale distributions.
Is something missing, or could it be better?
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