User profiles for Danding Wang

Danding Wang

Institute of Computing Technology, Chinese Academy of Sciences
Verified email at ict.ac.cn
Cited by 3173

Designing theory-driven user-centric explainable AI

D Wang, Q Yang, A Abdul, BY Lim - … of the 2019 CHI conference on …, 2019 - dl.acm.org
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 …

Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda

A Abdul, J Vermeulen, D Wang, BY Lim… - Proceedings of the …, 2018 - dl.acm.org
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 …

Bad actor, good advisor: Exploring the role of large language models in fake news detection

B Hu, Q Sheng, J Cao, Y Shi, Y Li, D Wang… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
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 …

Fakesv: A multimodal benchmark with rich social context for fake news detection on short video platforms

…, Y Bu, J Cao, W Ji, R Shui, J Xiao, D Wang… - Proceedings of the …, 2023 - ojs.aaai.org
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 …

Generalizing to the future: Mitigating entity bias in fake news detection

Y Zhu, Q Sheng, J Cao, S Li, D Wang… - Proceedings of the 45th …, 2022 - dl.acm.org
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 …

Zoom out and observe: News environment perception for fake news detection

Q Sheng, J Cao, X Zhang, R Li, D Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection

Z Sun, H Jiang, D Wang, X Li… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
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 …

Fakingrecipe: Detecting fake news on short video platforms from the perspective of creative process

Y Bu, Q Sheng, J Cao, P Qi, D Wang, J Li - Proceedings of the 32nd …, 2024 - dl.acm.org
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 …

Let silence speak: Enhancing fake news detection with generated comments from large language models

Q Nan, Q Sheng, J Cao, B Hu, D Wang… - Proceedings of the 33rd …, 2024 - dl.acm.org
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 …

Learn over past, evolve for future: Forecasting temporal trends for fake news detection

B Hu, Q Sheng, J Cao, Y Zhu, D Wang, Z Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …