Dr. Jonathan Mall describes an analytic engine that predicts how words trigger automatic thoughts and emotional responses. Words like "true," "traditional," and "original" prompt perceptions of authenticity and trust. The engine draws on 60,000 surveys across multiple countries to reverse-engineer how opinions form.
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And let's talk a bit about psychology. Like, how do politicians and brands convince us that they are great, right? They do it by doing PR, by being seen in certain situations, by having articles and then headlines written about them that connect them, their words, their name. Our engine can see that words like true, traditional, original, very strongly associated with authenticity. So when people read those words, they themselves get the idea that this comes from an authentic source, an authentic brand. So it's 2 things that we're able to predict. One is automatic thoughts and the other is emotions. Emotions may be a bit easier to explain because we have done over 60,000 surveys in different countries. With the associations, we actually reverse engineer how opinions are created.