Stance Detection

Stance detection is the task of automatically identifying the attitude (e.g., favor, against, neutral) expressed in text towards a specific target. Current research emphasizes improving the accuracy and generalizability of stance detection models, particularly focusing on multimodal approaches (combining text and images), leveraging large language models (LLMs) for various tasks including zero-shot and few-shot learning, and mitigating biases inherent in these models. This field is significant for understanding public opinion on diverse topics, informing decision-making in areas like marketing and politics, and advancing automated content moderation and misinformation detection.