Based on tweets and blog posts, identify new scams before they become widespread.

1. Search for keywords such as scam, scammed, theft, rip-off, fraud etc.
2. Assign a date stamp, location and category to each posting of interest
3. Identify and discard bogus postings that report fake fraud stories
4. Score each post for scam severity and trustworthiness
5. Create a taxonomy to categorize each posting
6. Create a world map, updated hourly, with scam alerts, with for each scam: a category, an intensity and a recency measurement

Is such a public system already in place? Sure, the FBI must have one, but it's not shared with the public. Also, such a scam alert system is quite similar to systems based on crowd-sourcing to detect diseases spreading around the world. The spreading mechanism, in both cases is similar: scam / disease agents use viruses to spread and contaminate. In the case of scams, computer viruses infect computers using Botnets, and turn them into spam machines (zombies) to send scam email to millions of recipients.

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