skip to main content


Search for: All records

Creators/Authors contains: "Yu, Philip S."

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. Rumor spreaders are increasingly utilizing multimedia content to attract the attention and trust of news consumers. Though quite a few rumor detection models have exploited the multi-modal data, they seldom consider the inconsistent semantics between images and texts, and rarely spot the inconsistency among the post contents and background knowledge. In addition, they commonly assume the completeness of multiple modalities and thus are incapable of handling handle missing modalities in real-life scenarios. Motivated by the intuition that rumors in social media are more likely to have inconsistent semantics, a novel Knowledge-guided Dual-consistency Network is proposed to detect rumors with multimedia contents. It uses two consistency detection subnetworks to capture the inconsistency at the cross-modal level and the content-knowledge level simultaneously. It also enables robust multi-modal representation learning under different missing visual modality conditions, using a special token to discriminate between posts with visual modality and posts without visual modality. Extensive experiments on three public real-world multimedia datasets demonstrate that our framework can outperform the state-of-the-art baselines under both complete and incomplete modality conditions. 
    more » « less
    Free, publicly-accessible full text available December 1, 2024
  2. Free, publicly-accessible full text available August 1, 2024
  3. Free, publicly-accessible full text available July 18, 2024
  4. Free, publicly-accessible full text available July 1, 2024
  5. Free, publicly-accessible full text available July 1, 2024
  6. Free, publicly-accessible full text available July 1, 2024
  7. Free, publicly-accessible full text available July 1, 2024
  8. Free, publicly-accessible full text available June 1, 2024
  9. Free, publicly-accessible full text available May 1, 2024
  10. Free, publicly-accessible full text available June 1, 2024