{"total":82,"rows":[{"id":"2108.11896","title":"A Survey on Automated Fact-Checking","created":"2021-08-26","cited_by_count":378,"area":null},{"id":"2103.07769","title":"Automated Fact-Checking for Assisting Human Fact-Checkers","created":"2021-03-13","cited_by_count":144,"area":null},{"id":"2310.05189","title":"Factuality Challenges in the Era of Large Language Models","created":"2023-10-08","cited_by_count":126,"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":"2103.12541","title":"A Survey on Multimodal Disinformation Detection","created":"2021-03-13","cited_by_count":47,"area":null},{"id":"2210.13865","title":"Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation","created":"2022-10-25","cited_by_count":45,"area":null},{"id":"2106.00853","title":"Claim Matching Beyond English to Scale Global Fact-Checking","created":"2021-06-01","cited_by_count":42,"area":null},{"id":"2211.02816","title":"PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training","created":"2022-11-05","cited_by_count":41,"area":null},{"id":"2206.11863","title":"CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking","created":"2022-06-06","cited_by_count":37,"area":null},{"id":"2401.11969","title":"Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research","created":"2024-01-22","cited_by_count":35,"area":null},{"id":"2203.10885","title":"Zoom Out and Observe: News Environment Perception for Fake News Detection","created":"2022-03-21","cited_by_count":34,"area":null},{"id":"2305.07991","title":"Multilingual Previously Fact-Checked Claim Retrieval","created":"2023-05-13","cited_by_count":32,"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":"2402.05904","title":"FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs","created":"2024-02-08","cited_by_count":27,"area":null},{"id":"2109.11333","title":"Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning","created":"2021-09-23","cited_by_count":25,"area":null},{"id":"2408.14317","title":"Claim Verification in the Age of Large Language Models: A Survey","created":"2024-08-26","cited_by_count":24,"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":"2112.08544","title":"NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge","created":"2021-12-16","cited_by_count":20,"area":null},{"id":"2306.14728","title":"Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection","created":"2023-06-26","cited_by_count":20,"area":null},{"id":"2109.07410","title":"Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document","created":"2021-09-14","cited_by_count":19,"area":null},{"id":"2310.09223","title":"Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation","created":"2023-10-13","cited_by_count":19,"area":null},{"id":"2407.02351","title":"Generative Large Language Models in Automated Fact-Checking: A Survey","created":"2024-07-02","cited_by_count":19,"area":null},{"id":"2102.02680","title":"Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection","created":"2021-02-04","cited_by_count":17,"area":null},{"id":"2104.07423","title":"The Role of Context in Detecting Previously Fact-Checked Claims","created":"2021-04-15","cited_by_count":17,"area":null},{"id":"2305.03507","title":"Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence","created":"2023-05-02","cited_by_count":17,"area":null},{"id":"2310.14338","title":"From Chaos to Clarity: Claim Normalization to Empower Fact-Checking","created":"2023-10-22","cited_by_count":17,"area":null},{"id":"2112.10322","title":"Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims","created":"2021-12-20","cited_by_count":16,"area":null},{"id":"2208.09214","title":"Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?","created":"2022-08-19","cited_by_count":16,"area":null},{"id":"2202.07094","title":"Matching Tweets With Applicable Fact-Checks Across Languages","created":"2022-02-14","cited_by_count":15,"area":null},{"id":"2210.13001","title":"Modeling Information Change in Science Communication with Semantically Matched Paraphrases","created":"2022-10-24","cited_by_count":14,"area":null},{"id":"2406.03181","title":"Missci: Reconstructing Fallacies in Misrepresented Science","created":"2024-06-05","cited_by_count":14,"area":null},{"id":"2501.10860","title":"Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking","created":"2025-01-18","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":"2505.10740","title":"SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval","created":"2025-05-15","cited_by_count":11,"area":null},{"id":"2204.12294","title":"Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims","created":"2022-04-26","cited_by_count":10,"area":null},{"id":"2204.13568","title":"Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms","created":"2022-04-28","cited_by_count":10,"area":null},{"id":"2106.11702","title":"Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic","created":"2021-06-22","cited_by_count":9,"area":null},{"id":"2210.04447","title":"CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media","created":"2022-10-10","cited_by_count":9,"area":null},{"id":"2308.07213","title":"Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI","created":"2023-08-14","cited_by_count":9,"area":null},{"id":"2110.13090","title":"SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking","created":"2021-10-25","cited_by_count":8,"area":null},{"id":"2205.03068","title":"Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo","created":"2022-05-06","cited_by_count":8,"area":null},{"id":"2105.07698","title":"Automatic Fake News Detection: Are Models Learning to Reason?","created":"2021-05-17","cited_by_count":7,"area":null},{"id":"2112.08776","title":"Unsupervised Matching of Data and Text","created":"2021-12-16","cited_by_count":7,"area":null},{"id":"2211.12143","title":"Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-Centered AI Systems","created":"2022-11-22","cited_by_count":7,"area":null},{"id":"2302.12569","title":"Implicit Temporal Reasoning for Evidence-Based Fact-Checking","created":"2023-02-24","cited_by_count":7,"area":"lr"},{"id":"2305.12544","title":"Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models","created":"2023-05-21","cited_by_count":7,"area":null},{"id":"2404.09565","title":"Reliability Estimation of News Media Sources: Birds of a Feather Flock Together","created":"2024-04-15","cited_by_count":7,"area":null},{"id":"2503.17684","title":"Can LLMs Automate Fact-Checking Article Writing?","created":"2025-03-22","cited_by_count":7,"area":null},{"id":"2109.12349","title":"Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification","created":"2021-09-25","cited_by_count":6,"area":null},{"id":"2110.14780","title":"Combining Vagueness Detection with Deep Learning to Identify Fake News","created":"2021-10-27","cited_by_count":6,"area":null},{"id":"2503.02737","title":"Large Language Models for Multilingual Previously Fact-Checked Claim Detection","created":"2025-03-04","cited_by_count":6,"area":null},{"id":"2109.10992","title":"Scalable Fact-checking with Human-in-the-Loop","created":"2021-09-22","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":"2209.04612","title":"Harnessing Abstractive Summarization for Fact-Checked Claim Detection","created":"2022-09-10","cited_by_count":5,"area":null},{"id":"2308.05680","title":"Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking","created":"2023-08-10","cited_by_count":5,"area":null},{"id":"2505.20067","title":"Community Moderation and the New Epistemology of Fact Checking on Social Media","created":"2025-05-26","cited_by_count":5,"area":null},{"id":"2304.07759","title":"MisRoB{\\AE}RTa: Transformers versus Misinformation","created":"2023-04-16","cited_by_count":4,"area":null},{"id":"2305.16128","title":"Give Me More Details: Improving Fact-Checking with Latent Retrieval","created":"2023-05-25","cited_by_count":4,"area":null},{"id":"2510.11238","title":"Attacks by Content: Automated Fact-checking is an AI Security Issue","created":"2025-10-13","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":"2204.07229","title":"Automatic Fake News Detection: Are current models \"fact-checking\" or \"gut-checking\"?","created":"2022-04-14","cited_by_count":3,"area":null},{"id":"2407.07931","title":"Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences","created":"2024-07-10","cited_by_count":3,"area":null},{"id":"2410.21360","title":"A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models","created":"2024-10-28","cited_by_count":3,"area":null},{"id":"2501.13288","title":"Task-Oriented Automatic Fact-Checking with Frame-Semantics","created":"2025-01-23","cited_by_count":3,"area":null},{"id":"2503.03417","title":"When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2106.04726","title":"Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp","created":"2021-06-08","cited_by_count":2,"area":null},{"id":"2110.15725","title":"Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks","created":"2021-10-10","cited_by_count":2,"area":null},{"id":"2210.07467","title":"Query Rewriting for Effective Misinformation Discovery","created":"2022-10-14","cited_by_count":2,"area":null},{"id":"2405.10700","title":"SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks","created":"2024-05-17","cited_by_count":2,"area":null},{"id":"2504.20668","title":"A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages","created":"2025-04-29","cited_by_count":1,"area":null},{"id":"2505.22118","title":"Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2509.25138","title":"Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2101.05499","title":"ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information","created":"2021-01-14","cited_by_count":0,"area":null},{"id":"2307.11848","title":"MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering","created":"2023-07-21","cited_by_count":0,"area":null},{"id":"2505.12616","title":"Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim Retrieval","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2510.08622","title":"Automated Alignment between Elicitation Interviews and Requirements","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2510.23924","title":"Agent-based Automated Claim Matching with Instruction-following LLMs","created":"2025-10-27","cited_by_count":0,"area":"agents"},{"id":"2512.20950","title":"MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment","created":"2025-12-24","cited_by_count":0,"area":null},{"id":"2601.17232","title":"Frame-Guided Synthetic Claim Generation for Automatic Fact-Checking Using High-Volume Tabular Data","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2603.30025","title":"ContextClaim: A Context-Driven Paradigm for Verifiable Claim Detection","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2609.23239","title":"SoK: Formal Methods for Fact-Checking and Information Integrity","created":"2026-09-19","cited_by_count":0,"area":null}],"next_cursor":null}