mlsanityData to 7 Oct 2026

Adversarial Learning for Zero-Shot Stance Detection on Social Media

arXiv 2105.06603 ↗First posted 14 May 2021cs.CLcited by 36

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Abstract (arXiv)

Stance detection on social media can help to identify and understand slanted news or commentary in everyday life. In this work, we propose a new model for zero-shot stance detection on Twitter that uses adversarial learning to generalize across topics. Our model achieves state-of-the-art performance on a number of unseen test topics with minimal computational costs. In addition, we extend zero-shot stance detection to new topics, highlighting future directions for zero-shot transfer.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). Builds on 13 of its 23 references that are in the map. First posted on arXiv 14 May 2021.

Builds on

13 of 23 references.

References · 13

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  4. 2014Unsupervised Domain Adaptation by Backpropagationcited by 1,906
  5. 2020Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representationscited by 97
  6. 2016Stance Detection with Bidirectional Conditional Encodingcited by 93
  7. 2017Learning to select data for transfer learning with Bayesian Optimizationcited by 64
  8. 2020X-Stance: A Multilingual Multi-Target Dataset for Stance Detectioncited by 42
  9. 2018Cross-Target Stance Classification with Self-Attention Networkscited by 40
  10. 2016MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detectioncited by 27
  11. 2017Aspect-augmented Adversarial Networks for Domain Adaptationcited by 12
  12. 2018Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendumcited by 8
1 more
  1. 2017Stance Detection in Turkish Tweetscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 9; 2023: 6; 2024: 14; 2025: 3; 2026: 3.

36 papers.

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  1. 2022State-of-the-art generalisation research in NLP: A taxonomy and reviewcited by 97
  2. 2023ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptationcited by 58
  3. 2023Stance Detection with Collaborative Role-Infused LLM-Based Agentscited by 53
  4. 2023Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptationcited by 30
  5. 2022Infusing Knowledge from Wikipedia to Enhance Stance Detectioncited by 20
  6. 2024Multi-modal Stance Detection: New Datasets and Modelcited by 18
  7. 2022Exploiting Sentiment and Common Sense for Zero-shot Stance Detectioncited by 16
  8. 2023A Data Fusion Framework for Multi-Domain Morality Learningcited by 14
  9. 2024DEEM: Dynamic Experienced Expert Modeling for Stance Detectioncited by 12
  10. 2024Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptationcited by 10
  11. 2024Can Large Language Models Address Open-Target Stance Detection?cited by 10
  12. 2021Is Stance Detection Topic-Independent and Cross-topic Generalizable? -- A Reproduction Studycited by 9
24 more
  1. 2022Learning Stance Embeddings from Signed Social Graphscited by 8
  2. 2022OpenStance: Real-world Zero-shot Stance Detectioncited by 7
  3. 2022Contextual information integration for stance detection via cross-attentioncited by 6
  4. 2022Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learningcited by 5
  5. 2024Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performancecited by 5
  6. 2024Zero-Shot Stance Detection using Contextual Data Generation with LLMscited by 5
  7. 2024Stanceformer: Target-Aware Transformer for Stance Detectioncited by 5
  8. 2023TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddingscited by 4
  9. 2024Estimating Causal Effects of Text Interventions Leveraging LLMscited by 4
  10. 2023A Logically Consistent Chain-of-Thought Approach for Stance Detectioncited by 3
  11. 2024EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detectioncited by 3
  12. 2024Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challengescited by 3
  13. 2025MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detectioncited by 3
  14. 2024Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviationcited by 2
  15. 2025Collaborative Stance Detection via Small-Large Language Model Consistency Verificationcited by 2
  16. 2022Adversarial Learning-based Stance Classifier for COVID-19-related Health Policiescited by 1
  17. 2022Zero-shot stance detection based on cross-domain feature enhancement by contrastive learningcited by 1
  18. 2024Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Studycited by 1
  19. 2024Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptationcited by 1
  20. 2024A More Advanced Group Polarization Measurement Approach Based on LLM-Based Agents and Graphscited by 1
  21. 2025Multilingual Target-Stance Extractioncited by 0
  22. 2026MoASE++: Mixture of Activation Sparsity Experts with Domain-Adaptive On-policy Distillation for Continual Test Time Adaptationcited by 0
  23. 2026SICI: A Semantic-Pragmatic Complexity Index Reveals Regime Shifts in LLM Stance Detectioncited by 0
  24. 2026StanceFlip: A Comprehensive Multi-Dimensional Benchmark for Multimodal Conversational Stance Flipping Forecastingcited by 0