1. A method for analyzing a large set of data objects by auditing an attitude among a target population comprising: providing a first set of information objects to a first group of a target population; providing a deliberately ambiguated signifier prompt to the first group selected from the target population, wherein the deliberately ambiguated signifier prompt comprises a continuum having a plurality of labels and wherein the plurality of labels are identified with particular human attitudes; collecting a first set of responses from the first group characterizing the first set of information objects using the deliberately ambiguated signifier prompt, and analyzing the first set of responses to produce a first quantitative measure-characterizing the first set of responses; storing the first quantitative measure on a computer readable media; providing a second set of information objects to a second group selected from the target population; providing the deliberately ambiguated signifier prompt to the second group; collecting a second set of responses from the second group characterizing the second set of information objects using the deliberately ambiguated signifier prompt, and analyzing the second set of responses to produce a second quantitative measure characterizing the second set of responses; and comparing the first quantitative measure with the second quantitative measure to identify changes in the particular human attitudes of the target population.
1. A method for analyzing a large set of data objects by auditing an attitude among a target population comprising: providing a first set of information objects to a first group of a target population; providing a deliberately ambiguated signifier prompt to the first group selected from the target population, wherein the deliberately ambiguated signifier prompt comprises a continuum having a plurality of labels and wherein the plurality of labels are identified with particular human attitudes; collecting a first set of responses from the first group characterizing the first set of information objects using the deliberately ambiguated signifier prompt, and analyzing the first set of responses to produce a first quantitative measure-characterizing the first set of responses; storing the first quantitative measure on a computer readable media; providing a second set of information objects to a second group selected from the target population; providing the deliberately ambiguated signifier prompt to the second group; collecting a second set of responses from the second group characterizing the second set of information objects using the deliberately ambiguated signifier prompt, and analyzing the second set of responses to produce a second quantitative measure characterizing the second set of responses; and comparing the first quantitative measure with the second quantitative measure to identify changes in the particular human attitudes of the target population. 13. The method of claim 1 , wherein the first and second sets of information objects are identical.