Stance Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

22 leaderboard tables shown for this task, 22 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 22 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

35 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 35 until expanded.

Subtasks archive 2025-07-28

4 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 127 papers with code (343 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
  11 Jul 2017 9 repositories listed
  Identifying public misinformation is a complicated and challenging task.
• A Retrospective Analysis of the Fake News Challenge Stance Detection Task
  13 Jun 2018 7 repositories listed
  To date, there is no in-depth analysis paper to critically discuss FNC-1's experimental setup, reproduce the results, and draw conclusions for next-generation stance classification methods.
• Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
  2 Nov 2018 3 repositories listed
  Specifically, we use bi-directional Recurrent Neural Networks, together with max-pooling over the temporal/sequential dimension and neural attention, for representing (i) the headline, (ii) the first two sentences of…
• FarExStance: Explainable Stance Detection for Farsi
  18 Dec 2024 2 repositories listed
  We compare the performance of a fine-tuned multilingual RoBERTa model to several large language models in zero-shot, few-shot, and parameter-efficient fine-tuned settings on our new dataset.
• Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA
  9 Feb 2024 2 repositories listed
  This study details our approach for the CASE 2024 Shared Task on Climate Activism Stance and Hate Event Detection, focusing on Hate Speech Detection, Hate Speech Target Identification, and Stance Detection as…
• Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
  1 Jun 2023 2 repositories listed
  The results show that our method outperforms the state-of-the-art with an average of $3.
• POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection
  2 May 2022 2 repositories listed
  Ideology is at the core of political science research.
• Infusing Knowledge from Wikipedia to Enhance Stance Detection
  8 Apr 2022 2 repositories listed
  Stance detection infers a text author's attitude towards a target.
• Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
  3 Jan 2022 2 repositories listed
  Detecting and labeling stance in social media text is strongly motivated by hate speech detection, poll prediction, engagement forecasting, and concerted propaganda detection.
• tWT--WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets
  1 Jun 2021 2 repositories listed
  The stance detection task aims at detecting the stance of a tweet or a text for a target.
• Cross-Domain Label-Adaptive Stance Detection
  15 Apr 2021 2 repositories listed
  In this paper, we perform an in-depth analysis of 16 stance detection datasets, and we explore the possibility for cross-domain learning from them.
• Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
  1 May 2020 2 repositories listed
  We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51, 284 tweets in English, making it by far the largest available dataset of the type.
• A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
  29 Oct 2019 2 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Automated fact-checking based on machine learning is a promising approach to identify false information distributed on the web.
• Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder
  17 Nov 2018 2 repositories listed
  Some news headlines mislead readers with overrated or false information, and identifying them in advance will better assist readers in choosing proper news stories to consume.
• Stance Prediction for Russian: Data and Analysis
  5 Sep 2018 2 repositories listed
  As well as presenting this openly-available dataset, the first of its kind for Russian, the paper presents a baseline for stance prediction in the language.
• Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content
  27 May 2025 1 repository listed
  The rapid evolution of social media has generated an overwhelming volume of user-generated content, conveying implicit opinions and contributing to the spread of misinformation.
• Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
  15 May 2025 1 repository listed
  Central banks around the world play a crucial role in maintaining economic stability.
• Collaborative Stance Detection via Small-Large Language Model Consistency Verification
  27 Feb 2025 1 repository listed
  However, heavily relying on LLMs for stance detection, regardless of the cost, is impractical for real-world social media monitoring systems that require vast data analysis.
• Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
  18 Feb 2025 1 repository listed
  Some tasks, such as stance detection and sentiment analysis, are closely related to individual subjective perspectives, thus termed individual-level NLU.
• Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome Websites
  15 Jan 2025 1 repository listed
  Understanding how misleading and outright false information enters news ecosystems remains a difficult challenge that requires tracking how narratives spread across thousands of fringe and mainstream news websites.
• Multi-Perspective Stance Detection
  13 Nov 2024 1 repository listed
  Subjective NLP tasks usually rely on human annotations provided by multiple annotators, whose judgments may vary due to their diverse backgrounds and life experiences.
• Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing
  22 Oct 2024 1 repository listed
  Climate change poses critical challenges globally, disproportionately affecting low-income countries that often lack resources and linguistic representation on the international stage.
• ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization
  17 Oct 2024 1 repository listed
  Dialogue agents have been receiving increasing attention for years, and this trend has been further boosted by the recent progress of large language models (LLMs).
• Stanceformer: Target-Aware Transformer for Stance Detection
  9 Oct 2024 1 repository listed
  The task of Stance Detection involves discerning the stance expressed in a text towards a specific subject or target.
• MultiClimate: Multimodal Stance Detection on Climate Change Videos
  26 Sep 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Our 100M-sized fusion models also beat CLIP and BLIP, as well as the much larger 9B-sized multimodal IDEFICS and text-only Llama3 and Gemma2, indicating that multimodal stance detection remains challenging for large…
• Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination
  15 Jun 2024 1 repository listed
  It can help public health officials, policymakers, and social media platforms develop more effective messaging strategies to cut through the noise of misinformation and educate the public about scientific findings.
• Zero-Shot Stance Detection using Contextual Data Generation with LLMs
  19 May 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  This method could enhance performance by allowing the adaptation of the model to new topics.
• Zero-shot Cross-lingual Stance Detection via Adversarial Language Adaptation
  22 Apr 2024 1 repository listed
  Our experiments demonstrate the effectiveness of model components, not least the translation-augmented data as well as the adversarial learning component, to the improved performance of the model.
• EcoVerse: An Annotated Twitter Dataset for Eco-Relevance Classification, Environmental Impact Analysis, and Stance Detection
  8 Apr 2024 1 repository listed
  Anthropogenic ecological crisis constitutes a significant challenge that all within the academy must urgently face, including the Natural Language Processing (NLP) community.
• Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study
  5 Apr 2024 1 repository listed
  In this paper, we investigate the robustness of operationalization choices for few-shot stance detection, with special attention to modelling stance across different topics.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.