top of page

Subscribe to get the latest updates from Receptiviti

Detecting Deception Through Facial Expressions and Language Patterns


The researchers of this study have discovered a groundbreaking approach to detecting deception through the analysis of language patterns in tandem with associated facial expressions. By analyzing Facial Action Units (AU) in video recordings of 151 dyadic conversations, the researchers were able to distinguish between truthful and deceptive communication. Using the Linguistic Inquiry and Word Count (LIWC), the researchers extracted linguistic features from transcripts and paired them with corresponding facial-feature contexts.


Through this unique framework, the researchers found that in video segments where witnesses kept their eyes wide open (high intensity of AU05 - upper lid raise), deceivers used significantly fewer 'Seeing', 'Perceptual' and 'Cognitive' words and their answers were significantly shorter than truth-tellers. This innovative approach has the potential to revolutionize the way we detect deception and improve the accuracy of interrogations and investigations.


Read the research: LIWC into the Eyes: Using Facial Features to Contextualize Linguistic Analysis in Multimodal Communication

Subscribe to the blog and get notified of new content:

Customer Stories

Customer Stories and Use Cases

Organizations of all sizes have integrated Receptiviti into their technologies and processes to uncover critical insights about the people who matter to their businesses.