Stance Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

25 shown of 25 papers with code (101 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 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.
• AmbiFC: Fact-Checking Ambiguous Claims with Evidence
  1 Apr 2021 2 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  Automated fact-checking systems verify claims against evidence to predict their veracity.
• Joint Rumour Stance and Veracity Prediction
  1 Sep 2019 2 repositories listed
  In our experiments, monolinugal scores reach stance-based veracity accuracy of 0.
• 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.
• Simple Open Stance Classification for Rumour Analysis
  17 Aug 2017 2 repositories listed
  Stance classification determines the attitude, or stance, in a (typically short) text.
• Detecting Statements in Text: A Domain-Agnostic Few-Shot Solution
  9 May 2024 1 repository listed
  In light of this, we propose and release a qualitative and versatile few-shot learning methodology as a common paradigm for any claim-based textual classification task.
• WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining
  1 May 2024 1 repository listed
  First, we develop and release an Argument Detection model that can classify a piece of text as an argument with an F1 score between 79% and 86% on three different benchmark datasets.
• Rumour Evaluation with Very Large Language Models
  11 Apr 2024 1 repository listed
  To the end, we employ two prompting-based LLM variants (GPT-3.
• Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining
  15 Oct 2023 1 repository listed
  This paper presents an overview of the ImageArg shared task, the first multimodal Argument Mining shared task co-located with the 10th Workshop on Argument Mining at EMNLP 2023.
• TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining
  8 Oct 2023 1 repository listed
  A main goal of Argument Mining (AM) is to analyze an author's stance.
• Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
  24 Sep 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In general, we discover that LLMs do not routinely outperform their smaller supervised machine learning models, and thus call for stance detection to be a benchmark for which LLMs also optimize for.
• AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
  31 May 2023 1 repository listed
  In this work, we for the first time propose a challenging argument quadruplet extraction task (AQE), which can provide an all-in-one extraction of four argumentative components, i.
• Enolp musk@SMM4H’22 : Leveraging Pre-trained Language Models for Stance And Premise Classification
  1 Oct 2022 1 repository listed
  This paper covers our approaches for the Social Media Mining for Health (SMM4H) Shared Tasks 2a and 2b.
• IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
  23 Mar 2022 1 repository listed
  Traditionally, a debate usually requires a manual preparation process, including reading plenty of articles, selecting the claims, identifying the stances of the claims, seeking the evidence for the claims, etc.
• On Classifying whether Two Texts are on the Same Side of an Argument
  1 Nov 2021 1 repository listed
  To ease the difficulty of argument stance classification, the task of same side stance classification (S3C) has been proposed.
• Tribrid: Stance Classification with Neural Inconsistency Detection
  14 Sep 2021 1 repository listed
  In the second case, we show that using the confidence scores to remove doubtful predictions allows our method to achieve human-like performance over the retained information, which is still a sizable part of the…
• Opinions are Made to be Changed: Temporally Adaptive Stance Classification
  27 Aug 2021 1 repository listed
  We propose a novel approach to mitigate this performance drop, which is based on temporal adaptation of the word embeddings used for training the stance classifier.
• Content-based Stance Classification of Tweets about the 2020 Italian Constitutional Referendum
  1 Jun 2021 1 repository listed
  Finally, we discuss the discrepancy between the magnitudes of tweets expressing a specific stance, obtained using both the hashtag-based approach and our trained classifier, and the real outcome of the referendum: the…
• Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey
  19 May 2020 1 repository listed
  On June 24, 2018, Turkey conducted a highly consequential election in which the Turkish people elected their president and parliament in the first election under a new presidential system.
• STANCY: Stance Classification Based on Consistency Cues
  14 Oct 2019 1 repository listed
  Controversial claims are abundant in online media and discussion forums.
• Danish Stance Classification and Rumour Resolution
  2 Jul 2019 1 repository listed
  Furthermore, experiments show that stance labels can be used across languages and platforms with a HMM to predict the veracity of rumours, achieving an accuracy of 0.
• BUT-FIT at SemEval-2019 Task 7: Determining the Rumour Stance with Pre-Trained Deep Bidirectional Transformers
  25 Feb 2019 1 repository listed
  This paper describes our system submitted to SemEval 2019 Task 7: RumourEval 2019: Determining Rumour Veracity and Support for Rumours, Subtask A (Gorrell et al., 2019).
• Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure
  7 Jan 2019 1 repository listed
  On this line, a new shared task has been proposed at SemEval-2017 (Task 8, SubTask A), which is focused on rumour stance classification in English tweets.
• A Retrospective Analysis of the Fake News Challenge Stance-Detection Task
  1 Aug 2018 1 repository 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.
• Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM
  24 Apr 2017 1 repository listed
  This paper describes team Turing's submission to SemEval 2017 RumourEval: Determining rumour veracity and support for rumours (SemEval 2017 Task 8, Subtask A).

Syntology lines on 2 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.