Update — persona deception from May to early August in the US presidential race

If you’re a regular reader, you’ll know that I compute “persona deception” scores for political figures. These measure all kinds of deception but, in the political arena, most of the deception is about candidates portraying themselves as better, nicer, wiser, and more competent than they really are (rather than factual misstatements).

Now that the US presidential race is down to two, I’ve done the analysis on their available speeches from the beginning of May up to the present (early August). Obama has made many more speeches (I’ve included both ‘campaign’ and ‘fundraiser’ speeches — I don’t know how he’s found the time to do anything else since there are three and four speeches apparently most days).

Here is the basic figure:

The line is the axis of scores, with high scores at the red end and low scores at the green end. The red crosses are Obama speeches, and the blue crosses Romney speeches. You can see that Obama’s scores (for example, projecting each point onto the line) are much higher. It seems to be the case that, all things being equal, the candidate with the higher persona deception scores wins an election. If this data holds up through the remaining 3 months, this can be considered a prediction. That’s certainly what happened in the 2008 cycle, which you can see by looking back in this blog.

For the technically minded, the two-factor structure here is often seen faintly because an individual’s use of markers such as first-person singular pronouns is often fairly uncorrelated with their use of exclusive words such as “but” and “or”. It’s more pronounced in this case by Romney’s high rate of use of “I” while Obama tends to prefer “I’m”. Overall, Obama’s high scores come from: high rates of “I’m”, high rates of “go” and “going”, and low rates of “but” and “or”. If you want to find out more, this analysis is based on James Pennebaker’s deception model, which we’ve extended by using a dimensionality reduction (so that scores are projections onto a set of eigenvectors rather than sums of marker frequencies).

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