How algorithmically curated online environments influence users’ political polarization: Results from two experiments with panel data

How algorithmically curated online environments influence users’ political polarization: Results from two experiments with panel data

Social media platforms are often accused of disproportionally exposing their users to like-minded opinions, thereby fueling political polarization. However, empirical evidence of this causal relationship is inconsistent at best. One reason could be that many previous studies were unable to separate...

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Bibliographic Details
Main Authors: Ole Kelm, Tim Neumann, Maike Behrendt, Markus Brenneis, Katharina Gerl, Stefan Marschall, Florian Meißner, Stefan Harmeling, Gerhard Vowe, Marc Ziegele
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Computers in Human Behavior Reports
Subjects:
Algorithms
Polarization
Online experiments
Filter bubble
Panel data
Germany
Online Access:http://www.sciencedirect.com/science/article/pii/S2451958823000763

Internet

http://www.sciencedirect.com/science/article/pii/S2451958823000763

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