Software Spots the Spin in Political Speeches

Sept. 18, 2008— -- Blink and you would have missed it. The expression of disgust on former US president Bill Clinton's face during his speech to the Democratic National Convention as he says "Obama" lasts for just a fraction of a second. But to Paul Ekman it was glaringly obvious.

"Given that he probably feels jilted that his wife Hillary didn't get the nomination, I would have to say that the entire speech was actually given very gracefully," says Ekman, who has studied people's facial expressions and how they relate to what they are thinking for over 40 years.

It seems that Clinton's micro-expression gave away more about his true feelings than he intended. Politicians do not usually give themselves away so tellingly, and many of us would like to know whether they mean what they are saying. So how are we to know when they are lying?

Technology is here to help. Software programs that analyse a person's speech, voice or facial expressions are building upon the work of researchers like Ekman to help us discover when the truth is being stretched, and even by how much. "The important thing to recognise is that politicians aren't typically good at out-and-out lies, but they are very adept at dancing around the truth," says David Skillicorn, a mathematics and computer science researcher at Queen's University in Kingston, Ontario, Canada. "The 2008 election has so far given us plenty of chances to see them in action."

Skillicorn has been watching out for verbal "spin". He has developed an algorithm that evaluates word usage within the text of a conversation or speech to determine when a person "presents themselves or their content in a way that does not necessarily reflect what they know to be true".

The algorithm counts usage of first person nouns - "I" tends to indicate less spin than "we", for example. It also searches out phrases that offer qualifications or clarifications of more general statements, since speeches that contain few such amendments tend to be high on spin. Finally, increased rates of action verbs such as "go" and "going", and negatively charged words, such as "hate" and "enemy", also indicate greater levels of spin. Skillicorn had his software tackle a database of 150 speeches from politicians involved in the 2008 US election race (see diagram).