{"total":72,"rows":[{"id":"2108.11896","title":"A Survey on Automated Fact-Checking","created":"2021-08-26","cited_by_count":378,"area":null},{"id":"2103.00242","title":"A Survey on Stance Detection for Mis- and Disinformation Identification","created":"2021-02-27","cited_by_count":75,"area":null},{"id":"2109.11427","title":"Automated Fact-Checking: A Survey","created":"2021-09-23","cited_by_count":55,"area":null},{"id":"2105.09284","title":"SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images","created":"2021-04-25","cited_by_count":50,"area":null},{"id":"2310.13549","title":"The Perils & Promises of Fact-checking with Large Language Models","created":"2023-10-20","cited_by_count":31,"area":null},{"id":"2104.07467","title":"Cross-Domain Label-Adaptive Stance Detection","created":"2021-04-15","cited_by_count":30,"area":null},{"id":"2109.12987","title":"Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News","created":"2021-09-23","cited_by_count":23,"area":null},{"id":"2311.00671","title":"Emotion Detection for Misinformation: A Review","created":"2023-11-01","cited_by_count":22,"area":null},{"id":"2211.03061","title":"Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads","created":"2022-11-06","cited_by_count":16,"area":null},{"id":"2301.01123","title":"MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark","created":"2023-01-03","cited_by_count":16,"area":null},{"id":"2406.11980","title":"Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways","created":"2024-06-17","cited_by_count":16,"area":null},{"id":"2212.09683","title":"Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments","created":"2022-12-19","cited_by_count":14,"area":null},{"id":"2301.06660","title":"VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter","created":"2023-01-17","cited_by_count":14,"area":null},{"id":"2503.14828","title":"The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval","created":"2025-03-19","cited_by_count":14,"area":null},{"id":"2207.14116","title":"Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction","created":"2022-07-28","cited_by_count":12,"area":null},{"id":"2111.03299","title":"Dataset of Fake News Detection and Fact Verification: A Survey","created":"2021-11-05","cited_by_count":11,"area":null},{"id":"2209.13017","title":"Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification","created":"2022-09-15","cited_by_count":11,"area":null},{"id":"2204.02626","title":"A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning","created":"2022-04-06","cited_by_count":10,"area":null},{"id":"2102.00816","title":"VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text","created":"2021-01-28","cited_by_count":9,"area":null},{"id":"2104.13559","title":"AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking","created":"2021-04-28","cited_by_count":8,"area":null},{"id":"2210.15954","title":"Stanceosaurus: Classifying Stance Towards Multilingual Misinformation","created":"2022-10-28","cited_by_count":8,"area":null},{"id":"2306.02597","title":"Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset","created":"2023-06-05","cited_by_count":7,"area":null},{"id":"2403.20322","title":"Towards a Framework for Evaluating Explanations in Automated Fact Verification","created":"2024-03-29","cited_by_count":7,"area":null},{"id":"2211.01874","title":"Contextual information integration for stance detection via cross-attention","created":"2022-11-03","cited_by_count":6,"area":null},{"id":"2410.13667","title":"ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization","created":"2024-10-17","cited_by_count":6,"area":null},{"id":"2502.08888","title":"LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information","created":"2025-02-13","cited_by_count":6,"area":null},{"id":"2505.08464","title":"Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions","created":"2025-05-13","cited_by_count":6,"area":null},{"id":"2101.03717","title":"Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task","created":"2021-01-11","cited_by_count":5,"area":null},{"id":"2109.11372","title":"A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar","created":"2021-09-22","cited_by_count":5,"area":null},{"id":"2204.13979","title":"ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language","created":"2022-04-29","cited_by_count":5,"area":null},{"id":"2406.02143","title":"Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2408.15689","title":"TempoFormer: A Transformer for Temporally-aware Representations in Change Detection","created":"2024-08-28","cited_by_count":5,"area":null},{"id":"2410.07083","title":"Stanceformer: Target-Aware Transformer for Stance Detection","created":"2024-10-09","cited_by_count":5,"area":null},{"id":"2505.05459","title":"UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Elections","created":"2025-05-08","cited_by_count":5,"area":null},{"id":"2506.00068","title":"Framing Political Bias in Multilingual LLMs Across Pakistani Languages","created":"2025-05-29","cited_by_count":5,"area":null},{"id":"2105.04098","title":"SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media","created":"2021-05-10","cited_by_count":4,"area":null},{"id":"2204.02000","title":"The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation","created":"2022-04-05","cited_by_count":4,"area":null},{"id":"2207.05133","title":"Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021","created":"2022-07-11","cited_by_count":4,"area":null},{"id":"2409.13594","title":"Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challenges","created":"2024-09-20","cited_by_count":4,"area":null},{"id":"2502.10003","title":"SciClaimHunt: A Large Dataset for Evidence-based Scientific Claim Verification","created":"2025-02-14","cited_by_count":4,"area":null},{"id":"2105.00826","title":"WhatTheWikiFact: Fact-Checking Claims Against Wikipedia","created":"2021-04-16","cited_by_count":3,"area":null},{"id":"2402.02975","title":"Putting Context in Context: the Impact of Discussion Structure on Text Classification","created":"2024-02-05","cited_by_count":3,"area":null},{"id":"2602.09516","title":"The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking","created":"2026-02-10","cited_by_count":3,"area":null},{"id":"2310.02568","title":"Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks","created":"2023-10-04","cited_by_count":2,"area":null},{"id":"2312.03523","title":"Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling","created":"2023-12-06","cited_by_count":2,"area":null},{"id":"2403.03336","title":"Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse","created":"2024-03-05","cited_by_count":2,"area":null},{"id":"2408.04463","title":"Crowd Intelligence for Early Misinformation Prediction on Social Media","created":"2024-08-08","cited_by_count":2,"area":null},{"id":"2410.04236","title":"Overview of Factify5WQA: Fact Verification through 5W Question-Answering","created":"2024-10-05","cited_by_count":2,"area":null},{"id":"2502.14383","title":"Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments","created":"2025-02-20","cited_by_count":2,"area":null},{"id":"2112.11185","title":"Fake News Detection Tools and Methods -- A Review","created":"2021-11-21","cited_by_count":1,"area":null},{"id":"2303.12665","title":"Can We Identify Stance Without Target Arguments? A Study for Rumour Stance Classification","created":"2023-03-22","cited_by_count":1,"area":null},{"id":"2304.03518","title":"SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers","created":"2023-04-07","cited_by_count":1,"area":null},{"id":"2312.03195","title":"Detecting Rumor Veracity with Only Textual Information by Double-Channel Structure","created":"2023-12-06","cited_by_count":1,"area":null},{"id":"2401.12713","title":"Generating Zero-shot Abstractive Explanations for Rumour Verification","created":"2024-01-23","cited_by_count":1,"area":null},{"id":"2407.01393","title":"POLygraph: Polish Fake News Dataset","created":"2024-07-01","cited_by_count":1,"area":null},{"id":"2410.03545","title":"Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2505.23812","title":"Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2510.09712","title":"CogniDir: Combating Cognitive Malicious Comments via Adaptive Distributional Learning for Robust Fake News Detection","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2603.03585","title":"Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility","created":"2026-03-03","cited_by_count":1,"area":null},{"id":"2606.04274","title":"Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2102.10794","title":"ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites","created":"2021-02-22","cited_by_count":0,"area":null},{"id":"2205.03153","title":"Bridging the Domain Gap for Stance Detection for the Zulu language","created":"2022-05-06","cited_by_count":0,"area":null},{"id":"2207.11893","title":"Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020","created":"2022-07-25","cited_by_count":0,"area":null},{"id":"2303.18049","title":"No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation","created":"2023-03-31","cited_by_count":0,"area":null},{"id":"2404.16859","title":"Rumour Evaluation with Very Large Language Models","created":"2024-04-11","cited_by_count":0,"area":null},{"id":"2410.19195","title":"Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2505.18916","title":"SCRum-9: Multilingual Stance Classification over Rumours on Social Media","created":"2025-05-25","cited_by_count":0,"area":null},{"id":"2511.07405","title":"SPOT: An Annotated French Corpus and Benchmark for Detecting Critical Interventions in Online Conversations","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2512.13559","title":"Verifying Rumors via Stance-Aware Structural Modeling","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2602.08085","title":"Large language models for spreading dynamics in complex systems","created":"2026-02-08","cited_by_count":0,"area":null},{"id":"2609.00057","title":"ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2610.04118","title":"LongSocialBench: Do Long-Context LLMs Understand Online Discussion Threads?","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}