mlsanityData to 7 Oct 2026

Stance Detection in Web and Social Media: A Comparative Study

arXiv 2007.05976 ↗First posted 12 Jul 2020cs.CL cs.LGcited by 25

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Abstract (arXiv)

Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances. Several methodologies for automatic stance detection from text have been proposed in literature. To our knowledge, there has not been any systematic investigation towards their reproducibility, and their comparative performances. In this work, we explore the reproducibility of several existing stance detection models, including both neural models and classical classifier-based models. Through experiments on two datasets -- (i)~the popular SemEval microblog dataset, and (ii)~a set of health-related online news articles -- we also perform a detailed comparative analysis of various methods and explore their shortcomings. Implementations of all algorithms discussed in this paper are available at https://github.com/prajwal1210/Stance-Detection-in-Web-and-Social-Media.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 9; 2023: 7; 2024: 3; 2025: 2; 2026: 2.

25 papers.

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  1. 2022Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threadscited by 16
  2. 2023MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmarkcited by 16
  3. 2023Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news mediacited by 14
  4. 2021Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twittercited by 10
  5. 2022Stanceosaurus: Classifying Stance Towards Multilingual Misinformationcited by 8
  6. 2022Explainable Patterns for Distinction and Prediction of Moral Judgement on Redditcited by 6
  7. 2022ExaASC: A General Target-Based Stance Detection Corpus in Arabic Languagecited by 5
  8. 2024Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibrationcited by 5
  9. 2024Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performancecited by 5
  10. 2024Collaborative Knowledge Infusion for Low-resource Stance Detectioncited by 4
  11. 2021NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Actioncited by 3
  12. 2022Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discoursecited by 3
13 more
  1. 2023Hashtag-Guided Low-Resource Tweet Classificationcited by 3
  2. 2023Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020cited by 3
  3. 2022Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweetscited by 2
  4. 2022Language Independent Stance Detection: Social Interaction-based Embeddings and Large Language Modelscited by 2
  5. 2023Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisiscited by 2
  6. 2023Guiding Computational Stance Detection with Expanded Stance Triangle Frameworkcited by 2
  7. 2025Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detectioncited by 1
  8. 2025Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilitiescited by 1
  9. 2026Large Language Models Unpack Complex Political Opinions through Target-Stance Extractioncited by 1
  10. 2022Distant finetuning with discourse relations for stance classificationcited by 0
  11. 2022Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twittercited by 0
  12. 2023Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detectioncited by 0
  13. 2026PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detectioncited by 0