Media Framing: A Typology and Survey of Computational Approaches Across Disciplines

J Otmakhova, S Khanehzar… - Proceedings of the 62nd …, 2024 - aclanthology.org
Framing studies how individuals and societies make sense of the world, by communicating
or representing complex issues through schema of interpretation. The framing of information …

Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model

F Niu, Z Cheng, X Fu, X Peng, G Dai, Y Chen… - Proceedings of the …, 2024 - dl.acm.org
Stance detection, which aims to identify public opinion towards specific targets using social
media data, is an important yet challenging task. With the proliferation of diverse multimodal …

A Survey of Stance Detection on Social Media: New Directions and Perspectives

B Zhang, G Dai, F Niu, N Yin, X Fan… - arxiv preprint arxiv …, 2024 - arxiv.org
In modern digital environments, users frequently express opinions on contentious topics,
providing a wealth of information on prevailing attitudes. The systematic analysis of these …

Multi-modal Stance Detection: New Datasets and Model

B Liang, A Li, J Zhao, L Gui, M Yang, Y Yu… - arxiv preprint arxiv …, 2024 - arxiv.org
Stance detection is a challenging task that aims to identify public opinion from social media
platforms with respect to specific targets. Previous work on stance detection largely focused …

Target-Oriented Dynamic Denosing Curriculum Learning for Multimodel Stance Detection

Z Suo, S Pan - International Conference on Multimedia Modeling, 2025 - Springer
Abstract Multimodal Stance Detection aims to classify public opinions on specific targets in
social media, incorporating both text and image data. However, prior studies have …