mlsanityData to 7 Oct 2026

Infusing Knowledge from Wikipedia to Enhance Stance Detection

arXiv 2204.03839 ↗First posted 8 Apr 2022cs.CLcited by 20

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Abstract (arXiv)

Stance detection infers a text author's attitude towards a target. This is challenging when the model lacks background knowledge about the target. Here, we show how background knowledge from Wikipedia can help enhance the performance on stance detection. We introduce Wikipedia Stance Detection BERT (WS-BERT) that infuses the knowledge into stance encoding. Extensive results on three benchmark datasets covering social media discussions and online debates indicate that our model significantly outperforms the state-of-the-art methods on target-specific stance detection, cross-target stance detection, and zero/few-shot stance detection.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 16 of its 31 references that are in the map. First posted on arXiv 8 Apr 2022.

Builds on

16 of 31 references.

References · 16

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Self-training with Noisy Student improves ImageNet classificationcited by 1,304
  3. 2020BERTweet: A pre-trained language model for English Tweetscited by 346
  4. 2020Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representationscited by 97
  5. 2020COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twittercited by 96
  6. 2016Stance Detection with Bidirectional Conditional Encodingcited by 93
  7. 2021BertGCN: Transductive Text Classification by Combining GCN and BERTcited by 74
  8. 2018Predicting Factuality of Reporting and Bias of News Media Sourcescited by 71
  9. 2018Aspect Based Sentiment Analysis with Gated Convolutional Networkscited by 65
  10. 2016Stance and Sentiment in Tweetscited by 62
  11. 2020What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Contextcited by 42
  12. 2021Adversarial Learning for Zero-Shot Stance Detection on Social Mediacited by 36
4 more
  1. 2020Fusing Context Into Knowledge Graph for Commonsense Question Answeringcited by 33
  2. 2019Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classificationcited by 22
  3. 2018Explaining Controversy on Social Media via Stance Summarizationcited by 9
  4. 2020DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domainscited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 3; 2024: 9; 2025: 4; 2026: 3.

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  1. 2023Chain-of-Thought Embeddings for Stance Detection on Social Mediacited by 13
  2. 2024DEEM: Dynamic Experienced Expert Modeling for Stance Detectioncited by 12
  3. 2024A Survey of Stance Detection on Social Media: New Directions and Perspectivescited by 8
  4. 2024Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communitiescited by 7
  5. 2024Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibrationcited by 5
  6. 2024Stanceformer: Target-Aware Transformer for Stance Detectioncited by 5
  7. 2023Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detectioncited by 4
  8. 2023Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversiescited by 4
  9. 2024MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressionscited by 4
  10. 2024Collaborative Knowledge Infusion for Low-resource Stance Detectioncited by 4
  11. 2025Is External Information Useful for Stance Detection with LLMs?cited by 4
  12. 2024Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challengescited by 3
8 more
  1. 2022Adversarial Learning-based Stance Classifier for COVID-19-related Health Policiescited by 1
  2. 2024SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Mediacited by 1
  3. 2025Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Contentcited by 1
  4. 2025Journalism-Guided Agentic In-Context Learning for News Stance Detectioncited by 1
  5. 2025Multilingual Target-Stance Extractioncited by 0
  6. 2026Zero-Shot Stance Detection in the Wild: Dynamic Target Generation and Multi-Target Adaptationcited by 0
  7. 2026Contextualized Prompting For Stance Detection On Social Mediacited by 0
  8. 2026From Two Passes to One: Compact and Efficient Target-Stance Extractioncited by 0