Filter Bubbles in Social Networks – UROP Spring Symposium 2021

Filter Bubbles in Social Networks

Ashley Anderson

Ashley Anderson

Pronouns: she/her/hers

Research Mentor(s): Clinton McKenna, Graduate Student
Research Mentor School/College/Department: Psychology, College of Literature, Science, and the Arts
Presentation Date: Thursday, April 22, 2021
Session: Session 5 (3pm-3:50pm)
Breakout Room: Room 2
Presenter: 6

Event Link


This project will investigate how filter bubbles — groups that are filled with people that share similar opinions that are isolated from others — form in social networks. Through simulated social networks with human participants, the spread of opinions and information are assessed as participants alter the structure of their social network by adding and removing neighbors. The participants’ decisions in altering their social network is made after participants view their neighbors’ responses in controversial issues. As a result, the impact of disagreement and differing opinions is analyzed. This study not only investigates the importance of a participant’s needs to surround themselves with like-minded people, but also explores how participants view their neighbors. The overall structure of the social network is examined between the rounds as groups begin to form in the social network. By studying these group formations, we hope to pinpoint the factors that further cause filter bubble formation.

Authors: Ashley Anderson, Clint McKenna
Research Method: Data Collection and Analysis

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