Checkstep Research（Checkstep研究公司）；Sofia University “St. Kliment Ohridski”（索菲亚大学“圣克莱门特·奥赫里德斯基”）；University of Copenhagen（哥本哈根大学）；Qatar Computing Research Institute, HBKU（哈马德·本·哈利法大学卡塔尔计算研究所）
Stance detection concerns the classification of a writer's viewpoint towards a target. There are different task variants, e.g., stance of a tweet vs. a full article, or stance with respect to a claim vs. an (implicit) topic. Moreover, task definitions vary, which includes the label inventory, the data collection, and the annotation protocol. All these aspects hinder cross-domain studies, as they require changes to standard domain adaptation approaches. In this paper, we perform an in-depth analysis of 16 stance detection datasets, and we explore the possibility for cross-domain learning from them. Moreover, we propose an end-to-end unsupervised framework for out-of-domain prediction of unseen, user-defined labels. In particular, we combine domain adaptation techniques such as mixture of experts and domain-adversarial training with label embeddings, and we demonstrate sizable performance gains over strong baselines, both (i) in-domain, i.e., for seen targets, and (ii) out-of-domain, i.e., for unseen targets. Finally, we perform an exhaustive analysis of the cross-domain results, and we highlight the important factors influencing the model performance.
FarExStance: Explainable Stance Detection for Farsi
Dublin City University（都柏林城市大学）；Iran University of Science and Technology（伊朗科技大学）；Dadmatech（Dadmatech公司）；University of Birmingham（伯明翰大学）；Cardiff University（卡迪夫大学）
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media
Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院）
D2ACE: Multi-Label Batch Selection Guided by Dual Dynamics and Adaptive Correlation Enhancement
Key Laboratory of DECV, Chongqing University of Posts and Telecommunications（重庆邮电大学信息与通信工程重点实验室）；School of Computer Science and Technology, Chongqing University of Posts and Telecommunications（重庆邮电大学计算机科学与技术学院）；School of Informatics, Aristotle University of Thessaloniki（希腊塞萨洛尼基阿里斯托芬大学信息学院）
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter
Vicomtech Foundation（维康泰克基金会）；Basque Research and Technology Alliance (BRTA)（巴斯克研究与技术联盟（BRTA））；University of the Basque Country UPV/EHU（巴斯克大学（UPV/EHU））
PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection
Department of Computer Science and Engineering, Khulna University of Engineering & Technology（库尔纳工程技术大学计算机科学与工程系）；Department of Electrical and Computer Engineering, University of Waterloo（滑铁卢大学电气与计算机工程系）；Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学机器学习系）
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning
School of Computer Science and Technology, Beijing Institute of Technology（北京理工大学计算机科学与技术学院）；Department of Computer Science, Tongji University（同济大学计算机科学系）；College of Computer Science and Technology, Taiyuan University of Technology（太原理工大学计算机科学与技术学院）
Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning
School of Cyber Science and Engineering, Sichuan University（四川大学网络空间安全学院）；School of Cyberspace Science and Technology, Beijing Jiaotong University（北京交通大学网络空间安全学院）
Contextual information integration for stance detection via cross-attention
Technical University of Darmstadt（达姆施塔特工业大学）；Hessian Center for AI (hessian.AI)（黑森人工智能中心）；Lucerne University of Applied Sciences and Arts（卢塞恩应用科学与艺术大学）
A Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit
School of Cyber Science and Technology, University of Science and Technology of China（中国科学技术大学网络空间安全学院）；School of Artificial Intelligence, Shenzhen Technology University（深圳技术大学人工智能学院）；School of Urban Planning and Design, Peking University（北京大学城市规划与设计学院）
DimStance: Multilingual Datasets for Dimensional Stance Analysis
University of Göttingen（弗赖堡大学）；Yuan Ze University（元智大学）；Imperial College London（伦敦帝国理工学院）；University of Pretoria（南非普里蒂亚大学）；National Yang Ming Chiao Tung University；Maseno University（马斯诺大学）；Central Police University Taiwan（台湾中央警察大学）；Yunnan University（云南大学）；Bayero University Kano（卡诺巴耶罗大学）；National Research Council Canada（加拿大国家研究委员会）
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?
College of Big Data and Internet, Shenzhen Technology University（深圳技术大学大数据与互联网学院）；Faculty of Information and Intelligence, Shenzhen X-Institute（深圳X研究所信息与智能学院）；Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）
TikStance: A Multimodal and Hierarchical Dataset for Multi-target Stance Analysis in TikTok Political Conversations
School of Artificial Intelligence, Shenzhen Technology University（深圳技术大学人工智能学院）；School of Cyber Science and Technology, University of Science and Technology of China（中国科学技术大学网络空间安全学院）
