Machine-arranged Interactions Improve Institutional Belonging and Cohesion
Mohammad M. Ghassemi, Tuka Alhanai

TL;DR
This study shows that machine-arranged meetings can enhance feelings of belonging and improve perceptions of diverse groups among participants in a social program.
Contribution
It introduces a data-driven approach demonstrating the positive impact of machine-arranged interactions on social cohesion and perceptions.
Findings
Participants in machine-arranged meetings had 4.5% higher belonging.
Participants showed 3.9% more positive perceptions of others.
Machine-arranged interactions can foster social cohesion.
Abstract
We investigated how participation in machine-arranged meetings were associated with feelings of institutional belonging and perceptions of demographic groups. We collected data from 535 individuals who participated in a program to meet new friends. Data consisted of surveys measuring demography, belonging, and perceptions of various demographic groups at the start and end of the program. Participants were partitioned into a control group who received zero introductions, and an intervention group who received multiple introductions. For each participant, we computed twelve features describing participation status, demography and the amount of program-facilitated exposure to others who were similar to them and different from them. We used a linear model to study the association of our features with the participants' final belonging and perceptions while controlling for their initial…
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Taxonomy
TopicsExperimental Behavioral Economics Studies
