factors with twitter as corpus data

it sucks beacuse there are a lot of factors to take into account here. Lionel Messi became a worldwide trending topic (TT) on twitter (his highest being #8) only after scoring 4 goals yesterday in a Champion's League quarterfinal match vs. Arsenal, and today, Wayne Rooney is currently a worldwide TT (#7 at the moment) without scoring a goal or having an assist, there team being up against Bayern Munich 3-1 at half. The differences here could be:

• pure amount of twitter tweeters in great britain vs. spain
• pure difference in followers around the world (and also bayern munich vs. arsenal fans)
• given the actual search results for the words "Lionel Messi" reached ww TT and "Rooney" did as well, the differences in names: (Leo, Lionel) +/not Messi VS. (Wayne... and probably not anything) +/not Rooney
• The different ways English speakers and Spanish speakers can and do express themselves: "leo, lionel, argentino, leooooooo, messssiiii", or whateverr VS. the pretty much straightforward use of "Rooney", with maybe "Englishman?"... nothing else really

If these factors could be weighted or included to the point where an equilibrium between the two, it would be cool to see how the Spanish-speaking congratulates/praises a striker of the own and how the English-speaking world does the same. There is a huge amount of data, and things like this are being produced as the world spins, as things happen, as we interpret that which happens into how we feel, and how we express that. An unbelievable amount of data.