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Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements · Study

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ChapterMining Disinformation and Fake News: Concepts, Methods, and Recent Advancements

Kai Shu2020

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Chaptergreen2020

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements

Kai Shu · Suhang Wang · Dongwon Lee · Huan Liu

124 citations·0/0 files stored·Lecture notes in social networks

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Misinformation and Its Impacts Complex Network Analysis Techniques Spam and Phishing Detection

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References

2017Fake News Detection on Social Media 2017Defining “Fake News”2018EANN 2019dEFEND 2019Release Strategies and the Social Impacts of Language Models 2019Beyond News Contents 2019Defending Against Neural Fake News 2019Misinformation in Social Media

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2021Optimization and improvement of fake news detection using deep learning approaches for societal benefit 2022Knowledge graph informed fake news classification via heterogeneous representation ensembles

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2023A comprehensive survey on machine learning approaches for fake news detectionarticle · 10 shared references 2021Propagation2Vec: Embedding partial propagation networks for explainable fake news early detectionarticle · 10 shared references 2021A Comprehensive Review on Fake News Detection With Deep Learningarticle · 8 shared references 2022Deep learning for fake news detection: A comprehensive surveyarticle · 8 shared references 2023Fake news detection: A survey of graph neural network methodsreview · 8 shared references 2018A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunitiespreprint · 8 shared references

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Year2020

Typechapter

Published2020-01-01

VenueLecture notes in social networks

ISSN-L2190-5428

Languageen

Citations124

Files0 public / 0

ShelfMisinformation and Its Impacts

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doi10.1007/978-3-030-42699-6_1

openalex_workW2997841508

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