April 10, 2024, 4:43 a.m. | Tu Nguyen

cs.LG updates on arXiv.org arxiv.org

arXiv:1711.00726v3 Announce Type: replace-cross
Abstract: Recent work have done a good job in modeling rumors and detecting them over microblog streams. However, the performance of their automatic approaches are not relatively high when looking early in the diffusion. A first intuition is that, at early stage, most of the aggregated rumor features (e.g., propagation features) are not mature and distinctive enough. The objective of rumor debunking in microblogs, however, are to detect these misinformation as early as possible. In this …

abstract analysis arxiv cs.lg cs.si detection diffusion early stage feature good however intuition job low modeling performance rumor rumors stage them twitter type work

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Consultant Senior Power BI & Azure - CDI - H/F

@ Talan | Lyon, France