A survey of fake news: Fundamental theories, detection methods, and opportunities
X Zhou, R Zafarani - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …
increased the demand for fake news detection and intervention. This survey reviews and …
Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
Multiple features based approach for automatic fake news detection on social networks using deep learning
SR Sahoo, BB Gupta - Applied Soft Computing, 2021 - Elsevier
In recent years, the rise of Online Social Networks has led to proliferation of social news
such as product advertisement, political news, celebrity's information, etc. Some of the social …
such as product advertisement, political news, celebrity's information, etc. Some of the social …
[PDF][PDF] Fake news: A survey of research, detection methods, and opportunities
X Zhou, R Zafarani - arXiv preprint arXiv:1812.00315, 2018 - academia.edu
arXiv:1812.00315v1 [cs.CL] 2 Dec 2018 Page 1 Fake News: A Survey of Research,
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …
Fake news early detection: A theory-driven model
Massive dissemination of fake news and its potential to erode democracy has increased the
demand for accurate fake news detection. Recent advancements in this area have proposed …
demand for accurate fake news detection. Recent advancements in this area have proposed …
Recovery: A multimodal repository for covid-19 news credibility research
First identified in Wuhan, China, in December 2019, the outbreak of COVID-19 has been
declared as a global emergency in January, and a pandemic in March 2020 by the World …
declared as a global emergency in January, and a pandemic in March 2020 by the World …
A novel machine learning approach for sentiment analysis on Twitter incorporating the universal language model fine-tuning and SVM
B AlBadani, R Shi, J Dong - Applied System Innovation, 2022 - mdpi.com
Twitter sentiment detectors (TSDs) provide a better solution to evaluate the quality of service
and product than other traditional technologies. The classification accuracy and detection …
and product than other traditional technologies. The classification accuracy and detection …
[HTML][HTML] Deep learning for fake news detection: A comprehensive survey
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
the meanwhile making false news spread at unprecedented speed. Fake news exerts …
Fakedetector: Effective fake news detection with deep diffusive neural network
In recent years, due to the booming development of online social networks, fake news for
various commercial and political purposes has been appearing in large numbers and …
various commercial and political purposes has been appearing in large numbers and …
Network-based fake news detection: A pattern-driven approach
X Zhou, R Zafarani - ACM SIGKDD explorations newsletter, 2019 - dl.acm.org
Fake news gains has gained significant momentum, strongly motivating the need for fake
news research. Many fake news detection approaches have thus been proposed, where …
news research. Many fake news detection approaches have thus been proposed, where …