Sept. 23, 2022, 1:15 a.m. | Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge

cs.CV updates on arXiv.org arxiv.org

Previous researches on multimedia fake news detection include a series of
complex feature extraction and fusion networks to gather useful information
from the news. However, how cross-modal consistency relates to the fidelity of
news and how features from different modalities affect the decision-making are
still open questions. This paper presents a novel scheme of Bootstrapping
Multi-view Representations (BMR) for fake news detection. Given a multi-modal
news, we extract representations respectively from the views of the text, the
image pattern and …

arxiv bootstrapping detection fake fake news news

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Machine Learning Engineer (m/f/d)

@ StepStone Group | Düsseldorf, Germany

2024 GDIA AI/ML Scientist - Supplemental

@ Ford Motor Company | United States