Fake News Detection: An Interdisciplinary Research

被引：12

作者：

Zhou, Xinyi ^{[1
]}

Zafarani, Reza ^{[1
]}

机构：

[1] Syracuse Univ, EECS Dept, Data Lab, Syracuse, NY 13244 USA

来源：

COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ) | 2019年

关键词：

Fake news detection; fake news research; misinformation; disinformation; false news;

D O I：

10.1145/3308560.3316476

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The explosive growth of fake news and its erosion to democracy, journalism and economy has increased the demand for fake news detection. To achieve efficient and explainable fake news detection, an interdisciplinary approach is required, relying on scientific contributions from various disciplines, e.g., social sciences, engineering, among others. Here, we illustrate how such multidisciplinary contributions can help detect fake news by improving feature engineering, or by providing well-justified machine learning models. We demonstrate how news content, news propagation patterns, and users' engagements with news can help detect fake news.

引用

页码：1292 / 1292

页数：1

共 50 条

[41] Fake News Detection on English News Article's Title
Castillo, Jaydine M.
Fadera, Kyla Dann F.
Ladao, Alexana Alian A.
Go, Jeline G.
Tamayo, Melecia B.
Octaviano Jr, Manolito, V
2021 1ST INTERNATIONAL CONFERENCE IN INFORMATION AND COMPUTING RESEARCH (ICORE 2021), 2021, : 151 - 156
[42] Fake Detect: A Deep Learning Ensemble Model for Fake News Detection
Aslam, Nida
Ullah Khan, Irfan
Alotaibi, Farah Salem
Aldaej, Lama Abdulaziz
Aldubaikil, Asma Khaled
COMPLEXITY, 2021, 2021
[43] Fake News Detection Based on Multimodal Inputs
Liang, Zhiping
CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 75 (02): : 4519 - 4534
[44] Fake News Detection Using Ethereum Blockchain
Upadhyay, Akanksha
Baranwal, Gaurav
ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2021, 2022, 1534 : 142 - 152
[45] Multimodal Approaches based on Fake News Detection
Reddy, Bandi Sravani
Siva Kumar, A.P.
Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023, 2023, : 751 - 755
[46] Fake News Detection: An Ensemble Learning Approach
Agarwal, Arush
Dixit, Akhil
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS 2020), 2020, : 1178 - 1183
[47] Fake news detection by image montage recognition
Steinebach M.
Gotkowski K.
Liu H.
Journal of Cyber Security and Mobility, 2020, 9 (02): : 175 - 202
[48] Fake News Detection Utilizing Textual Cues
Chouliara, Vasiliki
Koukaras, Paraskevas
Tjortjis, Christos
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2023, PT I, 2023, 675 : 393 - 403
[49] Curriculum Contrastive Learning for Fake News Detection
Ma, Jiachen
Liu, Yong
Liu, Meng
Han, Meng
PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022, 2022, : 4309 - 4313
[50] A Performance Comparison of Fake News Detection Approaches
Zhu, Haichao
Sinnott, Richard O.
2021 IEEE ASIA-PACIFIC CONFERENCE ON COMPUTER SCIENCE AND DATA ENGINEERING (CSDE), 2021,

← 1 2 3 4 5 →