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

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US