mlsanityData to 14 Oct 2026

The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation

arXiv 2204.02000 ↗First posted 5 Apr 2022cs.CL cs.IRcited by 4

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Abstract (arXiv)

During the COVID-19 pandemic, large amounts of COVID-19 misinformation are spreading on social media. We are interested in the stance of Twitter users towards COVID-19 misinformation. However, due to the relative recent nature of the pandemic, only a few stance detection datasets fit our task. We have constructed a new stance dataset consisting of 2631 tweets annotated with the stance towards COVID-19 misinformation. In contexts with limited labeled data, we fine-tune our models by leveraging the MNLI dataset and two existing stance detection datasets (RumourEval and COVIDLies), and evaluate the model performance on our dataset. Our experimental results show that the model performs the best when fine-tuned sequentially on the MNLI dataset and the combination of the undersampled RumourEval and COVIDLies datasets. Our code and dataset are publicly available at https://github.com/yanfangh/covid-rumor-stance

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 27 of its 43 references that are in the map. First posted on arXiv 5 Apr 2022.

Builds on

27 of 43 references.

References · 27

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  4. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  5. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  6. 2017A Broad-Coverage Challenge Corpus for Sentence Understanding through Inferencecited by 2,682
  7. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 463
  8. 2017Supervised Learning of Universal Sentence Representations from Natural Language Inference Datacited by 432
  9. 2016Enhanced LSTM for Natural Language Inferencecited by 200
  10. 2020Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?cited by 127
  11. 2018Combining Fact Extraction and Verification with Neural Semantic Matching Networkscited by 120
  12. 2018The Fact Extraction and VERification (FEVER) Shared Taskcited by 108
15 more
  1. 2017Detection and Resolution of Rumours in Social Media: A Surveycited by 104
  2. 2020COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twittercited by 96
  3. 2020CoAID: COVID-19 Healthcare Misinformation Datasetcited by 84
  4. 2020Fighting an Infodemic: COVID-19 Fake News Datasetcited by 83
  5. 2018RumourEval 2019: Determining Rumour Veracity and Support for Rumourscited by 75
  6. 2020FakeCovid -- A Multilingual Cross-domain Fact Check News Dataset for COVID-19cited by 61
  7. 2019Classification and Clustering of Arguments with Contextualized Word Embeddingscited by 57
  8. 2019BERT for Evidence Retrieval and Claim Verificationcited by 57
  9. 2018A Retrospective Analysis of the Fake News Challenge Stance Detection Taskcited by 49
  10. 2020ReCOVery: A Multimodal Repository for COVID-19 News Credibility Researchcited by 44
  11. 2020Stance Detection Benchmark: How Robust Is Your Stance Detection?cited by 33
  12. 2020Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Datasetcited by 32
  13. 2021Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Trainingcited by 28
  14. 2021Is Stance Detection Topic-Independent and Cross-topic Generalizable? -- A Reproduction Studycited by 9
  15. 2019Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Taskcited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 1.

4 papers.

  1. 2023MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmarkcited by 16
  2. 2025Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detectioncited by 7
  3. 2024FarExStance: Explainable Stance Detection for Farsicited by 1
  4. 2026Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twittercited by 0