Software soll Spin in politischen Reden erkennen
--- Nach dem L�gendetektor soll es jetzt auch einen automatischen Spin-Detektor geben, berichtet New Scientiest:
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. ...
In general though, Obama's speeches contain considerably higher spin than either McCain or Clinton. For example, for their speeches accepting their party's nomination for president, Obama's speech scored a spin value of 6.7 - where 0 is the average level of spin within all the political speeches analysed, and positive values represent higher spin. In contrast, McCain's speech scored -7.58, while Hillary Clinton's speech at the Democratic National Convention scored 0.15. Skillicorn also found that Sarah Palin's speeches contain slightly more spin than average.