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.

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  1. Can an individual’s trustworthiness be quantified?
  2. What are the clues you look for to determine an individual’s trustworthiness?
  3. What makes for a great liar?
  4. What are some examples of applying truth data knowledge?
  5. What can we learn from the datafication of personal communications?



Noah Zandan, Co-Founder and CEO, Quantified Impressions

Meta Information:

  • Event: Interactive
  • Format: Solo
  • Track: AI and Intelligent Devices
  • Track 2
  • Level: Intermediate
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