The invention relates to processing of electronic text communication distributed in bulk. In one embodiment, a method for detecting electronic text communication distributed in bulk is disclosed. After receiving a first electronic text communication, it is processed with an algorithm to produce a first fingerprint. A time period is begun for the first electronic text communication. After receiving a second electronic text communications, it is also processed with the algorithm to produce a second fingerprint. The first fingerprint to the second fingerprint are compared to determine if the first electronic text communication is similar to the second electronic text communication. A count for the first electronic text communication is updated based upon the comparison. It is determined if the count during the time period reaches a first threshold.