Analyzing Impact Dynamics of Misinformation Spread on X (Formerly Twitter) With a COVID-19 Dataset

Analyzing Impact Dynamics of Misinformation Spread on X (Formerly Twitter) With a COVID-19 Dataset

The spread of misinformation on social media platforms such as Twitter has significant societal implications, including influencing public opinion and causing trust issues with information sources. Our research addresses the critical question: How does misinformation propagate through Twitter, and w...

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Bibliographic Details
Main Authors: Zafer Duzen, Mirela Riveni, Mehmet S. Aktas
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Misinformation spread
COVID-19
data science
large scale networks
network analysis
Online Access:https://ieeexplore.ieee.org/document/10738722/
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