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Inroduction on Recent Trends and Perspectives in Fake News Research

Editors:

Reza Zafarani,

Huan Liu,

Vir V. Phoha,

Javad AzimiAuthors Info & Claims

Digital Threats: Research and Practice , Volume 2, Issue 2

Article No.: 13, Pages 1 - 3

https://doi.org/10.1145/3448634

Published: 26 March 2021 Publication History

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Cited By

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Brinda BRajan CGeetha K(2024)Detecting Evolving Fake News in Social Media by Leveraging Heterogeneous Deep Learning Model2024 Second International Conference on Advances in Information Technology (ICAIT)10.1109/ICAIT61638.2024.10690338(1-5)Online publication date: 24-Jul-2024
https://doi.org/10.1109/ICAIT61638.2024.10690338
Yan FZhang MWei BJiang WRen K(2023)Fake News Detection Utilizing Social Context Information with Graph Convolutional Networks and Attention MechanismsProceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering10.1145/3650400.3650466(406-413)Online publication date: 20-Oct-2023
https://dl.acm.org/doi/10.1145/3650400.3650466

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Inroduction on Recent Trends and Perspectives in Fake News Research

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cover image Digital Threats: Research and Practice

Digital Threats: Research and Practice Volume 2, Issue 2

Special Issue on Fake News Research

June 2021

185 pages

EISSN:2576-5337

DOI:10.1145/3458850

Editors:
Arun Lakhotia
University of Louisiana at Lafayette and Cythereal, USA
,
Leigh Metcalf
CERT, USA

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 March 2021

Published in DTRAP Volume 2, Issue 2

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Brinda BRajan CGeetha K(2024)Detecting Evolving Fake News in Social Media by Leveraging Heterogeneous Deep Learning Model2024 Second International Conference on Advances in Information Technology (ICAIT)10.1109/ICAIT61638.2024.10690338(1-5)Online publication date: 24-Jul-2024
https://doi.org/10.1109/ICAIT61638.2024.10690338
Yan FZhang MWei BJiang WRen K(2023)Fake News Detection Utilizing Social Context Information with Graph Convolutional Networks and Attention MechanismsProceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering10.1145/3650400.3650466(406-413)Online publication date: 20-Oct-2023
https://dl.acm.org/doi/10.1145/3650400.3650466

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Fake News Early Detection: A Theory-driven Model

Fake News Research: Theories, Detection Strategies, and Open Problems

A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities

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