User profiles for Danding Wang
![]() | Danding WangInstitute of Computing Technology, Chinese Academy of Sciences Verified email at ict.ac.cn Cited by 3173 |
Designing theory-driven user-centric explainable AI
From healthcare to criminal justice, artificial intelligence (AI) is increasingly supporting high-consequence
human decisions. This has spurred the field of explainable AI (XAI). This paper …
human decisions. This has spurred the field of explainable AI (XAI). This paper …
Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda
Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …
Bad actor, good advisor: Exploring the role of large language models in fake news detection
Detecting fake news requires both a delicate sense of diverse clues and a profound
understanding of the real-world background, which remains challenging for detectors based on …
understanding of the real-world background, which remains challenging for detectors based on …
Fakesv: A multimodal benchmark with rich social context for fake news detection on short video platforms
Short video platforms have become an important channel for news sharing, but also a new
breeding ground for fake news. To mitigate this problem, research of fake news video …
breeding ground for fake news. To mitigate this problem, research of fake news video …
Generalizing to the future: Mitigating entity bias in fake news detection
The wide dissemination of fake news is increasingly threatening both individuals and society.
Fake news detection aims to train a model on the past news and detect fake news of the …
Fake news detection aims to train a model on the past news and detect fake news of the …
Zoom out and observe: News environment perception for fake news detection
Fake news detection is crucial for preventing the dissemination of misinformation on social
media. To differentiate fake news from real ones, existing methods observe the language …
media. To differentiate fake news from real ones, existing methods observe the language …
Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection
Since image editing methods in real world scenarios cannot be exhausted, generalization is
a core challenge for image manipulation detection, which could be severely weakened by …
a core challenge for image manipulation detection, which could be severely weakened by …
Fakingrecipe: Detecting fake news on short video platforms from the perspective of creative process
As short-form video-sharing platforms become a significant channel for news consumption,
fake news in short videos has emerged as a serious threat in the online information …
fake news in short videos has emerged as a serious threat in the online information …
Let silence speak: Enhancing fake news detection with generated comments from large language models
Fake news detection plays a crucial role in protecting social media users and maintaining a
healthy news ecosystem. Among existing works, comment-based fake news detection …
healthy news ecosystem. Among existing works, comment-based fake news detection …
Learn over past, evolve for future: Forecasting temporal trends for fake news detection
Fake news detection has been a critical task for maintaining the health of the online news
ecosystem. However, very few existing works consider the temporal shift issue caused by the …
ecosystem. However, very few existing works consider the temporal shift issue caused by the …