The Problem Blog

Imaging a web page that attempted to ask 6 billion people the same question: "What problem bugged you the most today?"
How do you make this data into a resource?  Ideally, at the end of the project, you could answer the following:
What are the top 10 problems that we face as humans?  top 100?
What are group X's top 10 problems?  group Y?
What problems does group X face that group Y does not?
What problems do we all face?

So, now we have some requirements.
You would need the page to be developed in multiple languages to reach the entire global population.
I assume that you would need to restrict the answers to only a few words and that you would need an algorithm that translated all of the answers into the same language for consolidation and analysis.  You would need to bin the statements into buckets in order to get a grouping of information (for top 10 counts).  This would require an understanding of grammar and context.  You would need to get some user information to generate the grouping (age, sex, location, income... or a reference ID that would allow the system to mine another data source for this type of information - membership to social media sites perhaps (LinkedIn, Facebook, Twitter, Amazon wish list...) or government sites (SSN#, passport #).

Some problems:
For example:  My problem is that I cannot get clean water.
Problems:  How do I (as the one entering the data) know that this is a problem and that the water I have is not clean?  Relatively, it may be the cleanest water available.  I would need to have access to information about global standards of water cleanliness in order to diagnose this.  What problem and I more likely to announce?  A problem where someone else (who I am aware of) has something that I don't.