MeVer NetworkX: Network Analysis and Visualization for Tracing Disinformation

Clicks: 175
ID: 275680
2022
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Abstract
The proliferation of online news, especially during the “infodemic” that emerged along with the COVID-19 pandemic, has rapidly increased the risk of and, more importantly, the volume of online misinformation. Online Social Networks (OSNs), such as Facebook, Twitter, and YouTube, serve as fertile ground for disseminating misinformation, making the need for tools for analyzing the social web and gaining insights into communities that drive misinformation online vital. We introduce the MeVer NetworkX analysis and visualization tool, which helps users delve into social media conversations, helps users gain insights about how information propagates, and provides intuition about communities formed via interactions. The contributions of our tool lie in easy navigation through a multitude of features that provide helpful insights about the account behaviors and information propagation, provide the support of Twitter, Facebook, and Telegram graphs, and provide the modularity to integrate more platforms. The tool also provides features that highlight suspicious accounts in a graph that a user should investigate further. We collected four Twitter datasets related to COVID-19 disinformation to present the tool’s functionalities and evaluate its effectiveness.
Reference Key
papadopoulou2022meverfuture Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Papadopoulou , Olga;Makedas , Themistoklis;Apostolidis , Lazaros;Poldi , Francesco;Papadopoulos, Symeon;Kompatsiaris , Ioannis;
Journal future internet
Year 2022
DOI
DOI not found
URL
https://www.mdpi.com/1999-5903/14/5/147
Keywords
Medicine Engineering (General). Civil engineering (General) Information technology İslam communication. mass media control engineering systems. automatic machinery (general) islam. bahai faith. theosophy, etc. philosophy. psychology. religion international relations electricity

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