1. A method for automatically determining whether a text in digital form is deceptive, comprising: receiving a body of text data in digital form in a computer, the body of text data known to contain text containing true content and text containing deceptive content, the true text and deceptive text having been previously classified as such; automatically and programmatically analyzing the body of text data in digital form in the computer to identify psycho-linguistic cues that are indicative of text being deceptive; subsequently receiving a sample of text in digital form that is to be evaluated for truth or deception in a computer, the computer having access to the psycho-linguistic cues identified in the step of automatically and programmatically analyzing; automatically and programmatically statistically analyzing the sample of text via the computer and without human intervention, to ascertain whether the sample of text is deceptive based upon the presence of the psycho-linguistic cues in the sample text, wherein the psycho-linguistic cues are selected from a list consisting of the number of: (1) words, (2) first person plural words, (3) inclusive words, (4) affective language words, (5) optimism and energy words, (6) social process words and less of the number of (7) diversity words, (8) first person singular pronouns, (9) third person pronouns, (10) assent language words, (11) insight words, (12) tentative words and (13) exclusive words, (14) past tense verbs, (15) present tense verbs and (16) future tense verbs.