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Related Experiment Video

Updated: Aug 22, 2025

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

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Published on: March 1, 2017

Inter-City Emotional Synchrony Is Conditional on Mobility Patterns.

Karl Vachuska¹

¹Department of Sociology, University of Wisconsin-Madison, 1180 Observatory Dr., Madison, WI 53703, USA.

Behavioral Sciences (Basel, Switzerland)

|November 10, 2022

Summary

This summary is machine-generated.

This study analyzed city emotions using Twitter data, finding positive emotions synchronize between nearby Virginia cities, but only when residents have high contact. Other emotions did not synchronize.

Keywords:

emotional contagion sentiment analysis twitter data

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Area of Science:

Social Psychology
Computational Social Science
Network Analysis

Background:

Emotional contagion is well-documented in online social networks.
In-person emotional contagion mechanisms are less studied despite their primary role.
Measuring large-scale, in-person emotional dynamics requires novel approaches.

Purpose of the Study:

To operationalize and measure temporal emotions within specific cities.
To investigate emotional convergence between proximal cities in Virginia.
To determine the influence of inter-city contact on emotional synchrony.

Main Methods:

Sentiment analysis of Twitter data to quantify city-level emotions over time.
Two-way fixed effects models to analyze emotional convergence.
Cell phone mobility data to represent inter-city contact levels.

Main Results:

Positive emotions exhibit synchrony between proximal cities.
This synchrony is conditional on the level of resident contact, as shown by mobility data.
No synchrony was found for other emotion types or general sentiment.

Conclusions:

Inter-city positive emotional synchrony is linked to physical proximity and resident interaction.
The findings highlight the importance of in-person contact in large-scale emotional dynamics.
Causal claims are cautioned due to potential unmeasured confounding factors.