Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations-Reference-Cited by-同舟云学术

Achieving Online and Scalable Information Integrity by Harnessing Social Spam Correlations

Author:

Xu Hailu¹^ORCID,Liu Pinchao²,Guan Boyuan²,Wang Qingyang³,Da Silva Dilma⁴^ORCID,Hu Liting⁵

Affiliation:

1. Department of Computer Engineering and Computer Science, California State University, Long Beach, CA, USA

2. School of Computing and Information Sciences, Florida International University, Miami, FL, USA

3. Department of Computer Science and Engineering, Louisiana State University, Baton Rouge, LA, USA

4. Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA

5. Department of Computer Science and Engineering, University of California at Santa Cruz, Santa Cruz, CA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference87 articles.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Preserving Information Integrity: A Novel Machine Learning Approach for Fake News Detection;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

3. Feature Reduction and Hybrid Machine Learning Model for Email Spam Prediction;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18