[Exploration] Explore how we can save references to fake-news and fake media and use that cross-reference in verification

[caue-paiva]

User story:

1. Someone sends a deep-fake image to the AI
2. AI Detects the Fake Image, but also that the image hash is present on the Database
3. Not only image has been seen before, we can also build a temporal pattern analysis with the fake-news propagation over time.

• Example: This fake news started in May, had a spike in June and then another one in July. Most people seding this fake-news were from northeat region

4. This response will allow the use to have a deeper insight into how the fake-news is spread over time.

User gains:

• More insight: user feels satisfied with the insight into the fake-news history, especially when it started
• Satisfaction: If the user fact-checks a viral fake-news, that will likely result in satisfaction, the AI response with the virality proof can even be shared among peers as "clout" for the fact check operation