SXSW Interactive 2014
How to Spot a Liar...With Data
Can you use data to spot a liar? The answer may not be found in what a person says, but rather in how he/she says it. Prepared liars are always conscious about their spoken content and details, but often overlook the words around the edges and their non-verbal communication.
Looking at the latest innovative work and emerging science out of Quantified Impressions labs, I will demonstrate how you can use data and analytics to spot a liar and share science-based language and delivery components to evaluate the degree of trustworthiness of a speaker.
I will run 3 scenarios where I will provide analytics around individuals and show how their presentation patterns can help determine their degree of trustworthiness.
As one of 3 examples, I will show how Lance Armstrong moved his truth language components by 74% from his interview in 2005 with Larry King to his admittance of guilt interview with Oprah in 2013.
Share this idea
- Can an individual’s trustworthiness be quantified?
- What are the clues you look for to determine an individual’s trustworthiness?
- What makes for a great liar?
- What are some examples of applying truth data knowledge?
- What can we learn from the datafication of personal communications?
- Noah Zandan, Co-Founder and CEO, Quantified Impressions
Noah Zandan, Co-Founder and CEO, Quantified Impressions