Bryce Dietrich’s research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. He uses these techniques to understand the causes and consequences of elite emotional expressions in a variety of institutional settings, with a particular emphasis on non-verbal cues, such as vocal pitch.
- "If a Picture is Worth a Thousand Words, What is a Video Worth?." In Exploring the C-SPAN Archives: Advancing the Research Agenda, Robert X. Browning, ed. Purdue University Press (2015)
- Personality and Legislative Politics: The Big Five Trait Dimensions among U.S. State Legislators (with Scott Lasley, Jeffery J. Mondak, Megan L. Remmel and Joel Turner) Political Psychology 33(2): 179-306. (2012)