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Detecting Content That Triggers Polarization in Social Networks

We provide a method that finds echo chambers in online social networks. The method considers controversial contents and finds users of the network who discuss these contents without controversy, which indicates that they belong to an echo chamber. The method is implemented in Python.

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Additional Info
Field Value
Accessibility Both
AccessibilityMode OnLine Access
Availability On-Line
Basic rights Download
CreationDate 2021-08-26
Creator Zappia, Francesco, [email protected]
Field/Scope of use Any use
Group Others
Owner Zappia, Francesco, [email protected]
Sublicense rights No
Territory of use World Wide
Thematic Cluster Social Network Analysis [SNA]
system:type Method
Management Info
Field Value
Author Stefan Neumann
Maintainer Neumann Stefan
Version 1
Last Updated 24 June 2023, 01:09 (CEST)
Created 2 September 2021, 13:33 (CEST)