research-article

“This is Fake! Shared it by Mistake”:Assessing the Intent of Fake News Spreaders

Authors:

Reza ZafaraniAuthors Info & Claims

WWW '22: Proceedings of the ACM Web Conference 2022

Pages 3685 - 3694

https://doi.org/10.1145/3485447.3512264

Published: 25 April 2022 Publication History

Abstract

Individuals can be misled by fake news and spread it unintentionally without knowing it is false. This phenomenon has been frequently observed but has not been investigated. Our aim in this work is to assess the intent of fake news spreaders. To distinguish between intentional versus unintentional spreading, we study the psychological explanations of unintentional spreading. With this foundation, we then propose an influence graph, using which we assess the intent of fake news spreaders. Our extensive experiments show that the assessed intent can help significantly differentiate between intentional and unintentional fake news spreaders. Furthermore, the estimated intent can significantly improve the current techniques that detect fake news. To our best knowledge, this is the first work to model individuals’ intent in fake news spreading.

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Cited By

Tao XWang LLiu QWu SWang LChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Semantic Evolvement Enhanced Graph Autoencoder for Rumor DetectionProceedings of the ACM on Web Conference 202410.1145/3589334.3645478(4150-4159)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645478
Godoy D(2024)Are online harm spreaders birds of the same feather? A multi-dimensional study on the characteristics of social media harm spreadersSocial Network Analysis and Mining10.1007/s13278-024-01310-014:1Online publication date: 22-Jul-2024
https://doi.org/10.1007/s13278-024-01310-0
Barve YSaini J(2023)Anonymous Spreaders Detection of False Information using Incremental Learning Approach2023 8th International Conference on Communication and Electronics Systems (ICCES)10.1109/ICCES57224.2023.10192847(1158-1165)Online publication date: 1-Jun-2023
https://doi.org/10.1109/ICCES57224.2023.10192847
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Index Terms

“This is Fake! Shared it by Mistake”:Assessing the Intent of Fake News Spreaders

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

WWW '22: Proceedings of the ACM Web Conference 2022

April 2022

3764 pages

ISBN:9781450390965

DOI:10.1145/3485447

Editors:
Frédérique Laforest
INSA Lyon, France
,
Raphaël Troncy
EURECOM, France
,
Elena Simperl
King’s College London, UK
,
Deepak Agarwal
Pinterest, USA
,
Aristides Gionis
KTH Royal Institute of Technology, Sweden
,
Ivan Herman
W3C / retired
,
Lionel Médini
Université Lyon 1, France

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Published: 25 April 2022

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WWW '22: The ACM Web Conference 2022

April 25 - 29, 2022

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Cited By

Tao XWang LLiu QWu SWang LChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Semantic Evolvement Enhanced Graph Autoencoder for Rumor DetectionProceedings of the ACM on Web Conference 202410.1145/3589334.3645478(4150-4159)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645478
Godoy D(2024)Are online harm spreaders birds of the same feather? A multi-dimensional study on the characteristics of social media harm spreadersSocial Network Analysis and Mining10.1007/s13278-024-01310-014:1Online publication date: 22-Jul-2024
https://doi.org/10.1007/s13278-024-01310-0
Barve YSaini J(2023)Anonymous Spreaders Detection of False Information using Incremental Learning Approach2023 8th International Conference on Communication and Electronics Systems (ICCES)10.1109/ICCES57224.2023.10192847(1158-1165)Online publication date: 1-Jun-2023
https://doi.org/10.1109/ICCES57224.2023.10192847
Allein LMoens MPerrotta D(2023)Preventing profiling for ethical fake news detectionInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10320660:2Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.ipm.2022.103206
Wu LLong YGao CWang ZZhang Y(2023)MFIRInformation Fusion10.1016/j.inffus.2023.101944100:COnline publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1016/j.inffus.2023.101944
Jeong UDing KCheng LGuo RShu KLiu H(2022)Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020234(596-605)Online publication date: 17-Dec-2022
https://doi.org/10.1109/BigData55660.2022.10020234

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