Location and Language Independent Fake Rumor Detection Through Epidemiological and Structural Graph Analysis of Social Connections

Location and Language Independent Fake Rumor Detection Through Epidemiological and Structural Graph Analysis of Social Connections

Detection and identification of misinformation and fake news is a complex problem that intersects several disciplines, ranging from sociology to computer science and mathematics. In this work, we focus on social media analyzing characteristics that are independent of the text language (language-inde...

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Bibliographic Details
Main Authors: Dimitrios Serpanos, Georgios Xenos, Billy Tsouvalas
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
misinformation
rumor propagation
rumor classification
epidemiological models
graph-based detection
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.734347/full

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