1. A method of detecting spam in web sites, the method comprising: obtaining a text entry; detecting a number of character transitions between character sets in the text entry, wherein the character sets (i) each correspond to different alphabets and (ii) are different subsets of a character encoding that maps characters from multiple alphabets to respective binary numbers for use by computers; calculating, with a computer, a score indicative of the likelihood that the text entry is spam based on the number of character transitions; and labeling the text entry as spam based on the score.
1. A method of detecting spam in web sites, the method comprising: obtaining a text entry; detecting a number of character transitions between character sets in the text entry, wherein the character sets (i) each correspond to different alphabets and (ii) are different subsets of a character encoding that maps characters from multiple alphabets to respective binary numbers for use by computers; calculating, with a computer, a score indicative of the likelihood that the text entry is spam based on the number of character transitions; and labeling the text entry as spam based on the score. 12. The method of claim 1 , comprising: ranking the text entry relative to other text entries by down-ranking the text entry responsive to labeling the text entry as spam.