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 …

[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 …

Survey on web spam detection: principles and algorithms

N Spirin, J Han - ACM SIGKDD explorations newsletter, 2012 - dl.acm.org
Search engines became a de facto place to start information acquisition on the Web. Though
due to web spam phenomenon, search results are not always as good as desired …

Collective spammer detection in evolving multi-relational social networks

S Fakhraei, J Foulds, M Shashanka… - Proceedings of the 21th …, 2015 - dl.acm.org
Detecting unsolicited content and the spammers who create it is a long-standing challenge
that affects all of us on a daily basis. The recent growth of richly-structured social networks …

Linked document embedding for classification

S Wang, J Tang, C Aggarwal, H Liu - … of the 25th ACM international on …, 2016 - dl.acm.org
Word and document embedding algorithms such as Skip-gram and Paragraph Vector have
been proven to help various text analysis tasks such as document classification, document …

An efficient deep learning-based scheme for web spam detection in IoT environment

A Makkar, N Kumar - Future Generation Computer Systems, 2020 - Elsevier
From the last few years, Internet of Things has revolutionized the entire world. In this, various
smart objects perform the tasks of sensing and computing to provide uninterrupted services …

Machine learning in adversarial environments

P Laskov, R Lippmann - Machine learning, 2010 - Springer
Whenever machine learning is used to prevent illegal or unsanctioned activity and there is
an economic incentive, adversaries will attempt to circumvent the protection provided …

Adversarial web search

C Castillo, BD Davison - Foundations and trends® in …, 2011 - nowpublishers.com
Web search engines have become indispensable tools for finding content. As the popularity
of the Web has increased, the efforts to exploit the Web for commercial, social, or political …

SecureCPS: Cognitive inspired framework for detection of cyber attacks in cyber–physical systems

A Makkar, JH Park - Information processing & management, 2022 - Elsevier
In the era of autonomous systems, the security is indispensable module for flexible
computing environment. Due to increased computer power and network speed, a new …

Web-scale multimedia analysis: Does content matter?

M Slaney - IEEE MultiMedia, 2011 - ieeexplore.ieee.org
The initial success of Web-image search was based exclusively on the text around an
image. Certainly we have progressed since then. But recent research results dramatically …