RumorHunt: A Next-Generation Online Scalable Streaming System for Early Rumor Detection
Project Summary
The broad success of online social networks (OSNs) has created fertile soil for the emergence and fast spread of rumors. Rumors are damaging as they cause public panic and social unrest. There is an urgent need to quickly detect false rumors (e.g., fake news) circulated on social online networks early in its propagation before it reaches a broad audience. The goal of this project is to develop a next-generation online scalable streaming system for early rumor detection in OSNs.
Participants
Principal Investigator
- Dr. Liting Hu, Assistant Professor, UC Santa Cruz and Virginia Tech
Members
- Hailu Xu, Ph.D. student-graduated, now tenure-track Assistant Professor of Computer Science at California State University, Long Beach
- Pinchao Liu, Ph.D. student-graduated, now Research Scientist at Facebook
- Boyuan Guan, Ph.D. student, Florida International University
- William Escudero, B.S. student-graduated, now Software Engineer at JPMorgan Chase & Co
- Ulises Fernandez, B.S. student, supported by NSF REU program
Publications
- [Cloud'19] Hailu Xu*, Pinchao Liu*, Boyuan Guan*, Liting Hu, "Exploiting the Spam Correlations in Scalable Online Social Spam Detection", in Proceedings of the 2019 International Conference on Cloud Computing (Cloud'19), San Diego, CA, June 2019. Best Student Paper Award
- [Cloud'18] Hailu Xu*, Pinchao Liu*, Yao Xiao, Wentao Wang, Jai Dayal, Qingyang Wang, Yuzhe Tang, Liting Hu "Oases: An Online Scalable Spam Detection System for Social Networks", in Proceedings of the 11th International Conference on Cloud Computing (Cloud'18), San Francisco, CA, July 2018.
- [BSMDMA'18] Hailu Xu*, Boyuan Guan*, Pinchao Liu*, William Escudero*, Liting Hu "Harnessing the Nature of Spam in Scalable Online Social Spam Detection", in the 2018 International Workshop on Big Social Media Data Management and Analysis, in conjunction with IEEE Big Data (BSMDMA'18), Seattle, WA, December 2018.
Acknowledgement
This material is based upon work supported by the Cyber Florida Collaborative Seed Award.