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Related Experiment Video

Updated: May 29, 2025

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

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Predicting norm change using threshold models.

Moritz Janas¹, Nikos Nikiforakis², Simon Siegenthaler³

¹Center for Behavioral Institutional Design, New York University Abu Dhabi, United Arab Emirates.

Current Opinion in Psychology

|February 2, 2025

Summary

This summary is machine-generated.

Predicting social norm evolution is difficult. This review explores threshold models and empirical studies, highlighting new methods and future research directions for understanding societal shifts.

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Area of Science:

Social Sciences
Sociology
Behavioral Economics

Background:

Predicting shifts in collective behavior and social norms is a persistent challenge for social scientists.
Historical failures to anticipate norm changes and the endurance of welfare-impeding norms necessitate improved predictive frameworks.
Understanding the dynamics of social norm evolution is crucial for addressing societal challenges.

Purpose of the Study:

To review advancements in predicting social norm change using threshold models.
To document the increasing number of empirical studies in this field.
To identify key methodological developments and future research avenues.

Main Methods:

Review of current literature on threshold models for social norm change.
Analysis of empirical studies employing these models.
Synthesis of methodological advancements and identification of open research questions.

Main Results:

Threshold models offer a promising framework for anticipating social norm evolution.
There is a growing body of empirical research applying these models to real-world phenomena.
Recent methodological developments have enhanced the predictive power and applicability of these models.

Conclusions:

Threshold models provide valuable tools for understanding and potentially predicting social norm change.
Continued empirical research and methodological innovation are essential for advancing the field.
Addressing the challenge of predicting norm evolution requires interdisciplinary collaboration and further investigation.