{"total":25,"rows":[{"id":"2211.03061","title":"Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads","created":"2022-11-06","cited_by_count":16,"area":null},{"id":"2301.01123","title":"MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark","created":"2023-01-03","cited_by_count":16,"area":null},{"id":"2305.13047","title":"Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media","created":"2023-05-22","cited_by_count":14,"area":null},{"id":"2101.11978","title":"Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter","created":"2021-01-28","cited_by_count":10,"area":null},{"id":"2210.15954","title":"Stanceosaurus: Classifying Stance Towards Multilingual Misinformation","created":"2022-10-28","cited_by_count":8,"area":null},{"id":"2201.11155","title":"Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit","created":"2022-01-26","cited_by_count":6,"area":null},{"id":"2403.00236","title":"Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance","created":"2024-03-01","cited_by_count":6,"area":null},{"id":"2204.13979","title":"ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language","created":"2022-04-29","cited_by_count":5,"area":null},{"id":"2402.14296","title":"Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration","created":"2024-02-22","cited_by_count":5,"area":null},{"id":"2403.19219","title":"Collaborative Knowledge Infusion for Low-resource Stance Detection","created":"2024-03-28","cited_by_count":4,"area":null},{"id":"2105.05621","title":"NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action","created":"2021-05-12","cited_by_count":3,"area":null},{"id":"2202.09445","title":"Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse","created":"2022-02-18","cited_by_count":3,"area":null},{"id":"2302.10143","title":"Hashtag-Guided Low-Resource Tweet Classification","created":"2023-02-20","cited_by_count":3,"area":null},{"id":"2303.12029","title":"Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020","created":"2023-03-21","cited_by_count":3,"area":null},{"id":"2204.10710","title":"Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets","created":"2022-04-22","cited_by_count":2,"area":null},{"id":"2210.05715","title":"Language Independent Stance Detection: Social Interaction-based Embeddings and Large Language Models","created":"2022-10-11","cited_by_count":2,"area":null},{"id":"2302.02813","title":"Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis","created":"2023-02-06","cited_by_count":2,"area":null},{"id":"2305.19845","title":"Guiding Computational Stance Detection with Expanded Stance Triangle Framework","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2503.03172","title":"Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detection","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2503.03787","title":"Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilities","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2603.23531","title":"Large Language Models Unpack Complex Political Opinions through Target-Stance Extraction","created":"2026-03-07","cited_by_count":1,"area":null},{"id":"2204.12693","title":"Distant finetuning with discourse relations for stance classification","created":"2022-04-27","cited_by_count":0,"area":null},{"id":"2207.11500","title":"Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter","created":"2022-07-23","cited_by_count":0,"area":null},{"id":"2311.04495","title":"Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection","created":"2023-11-08","cited_by_count":0,"area":null},{"id":"2607.04690","title":"PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection","created":"2026-07-06","cited_by_count":0,"area":null}],"next_cursor":null}