Related Experiment Video
Updated: Mar 28, 2026

06:57
Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE
Published on: May 14, 2019
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Verbal Frontiers: Combining Words in the Wild, Computational Modeling, and Behavior Analysis to Explore Verbal
David J Cox1,2
1Endicott College, Beverly, MA USA.
Perspectives on Behavior Science
|March 27, 2026
Summary
Researchers can now observe and measure verbal communities in real-time using new technology. This allows for empirical analysis of how these communities influence individual behavior.
Area of Science:
- Behavioral Science
- Linguistics
- Computational Social Science
Background:
- The verbal community is crucial for understanding verbal behavior but has been difficult to study empirically.
- Previous research relied on theoretical descriptions due to challenges in observing and measuring these communities.
Purpose of the Study:
- To review technological advancements enabling direct observation and measurement of verbal communities.
- To demonstrate how these technologies allow for real-time analysis of community evolution and influence on individual behavior.
Main Methods:
- Review of recent technological advances in data collection and computational modeling.
- Application of these methods to directly observe, measure, and model two distinct verbal communities.
- Utilizing individual-level data to analyze the impact of verbal communities on speakers and listeners.
Main Results:
- Direct observation and measurement of verbal communities in real-time are now feasible.
- The influence of verbal communities on individual speakers and listeners can be empirically quantified.
- Two case studies demonstrate the successful application of these novel methods.
Conclusions:
- Technological advancements enable empirical investigation of previously theoretical concepts like the verbal community.
- Direct measurement allows for addressing nuanced questions about verbal behavior and community influence.
- Integrating structural and functional analyses may further advance the understanding of verbal behavior.
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