Future Internet · 2022 · 21 citations · 21 references
ComputingCommunicationVisualizationGraph VisualizationInformation VisualizationNetwork VisualizationCommunity VisualizationDisinformationMisinformation DetectionNetwork ExplorationSocial MediaSocial Network AnalysisConversationsDisinformation DynamicsMisinformation Diffusion NetworksMisinformation In Online CommunitiesMisinformation OnlineMisinformation PropagationOnline Social InteractionSocial Media Misinformation
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.
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The spread of true and false news online
Soroush Vosoughi, Deb Roy, Sinan Aral · Science · 2018 · 8.4K citations
The spread of low-credibility content by social bots
Nature Communications · 2018 · 1K citations · Full text