{"total":44,"rows":[{"id":"2206.12808","title":"Memory-Guided Multi-View Multi-Domain Fake News Detection","created":"2022-06-26","cited_by_count":31,"area":null},{"id":"2209.08902","title":"Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer","created":"2022-09-19","cited_by_count":19,"area":null},{"id":"2504.20013","title":"LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation","created":"2025-04-28","cited_by_count":19,"area":null},{"id":"2203.13883","title":"Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities","created":"2022-03-25","cited_by_count":15,"area":null},{"id":"2101.00180","title":"Transformer based Automatic COVID-19 Fake News Detection System","created":"2021-01-01","cited_by_count":14,"area":null},{"id":"2109.12986","title":"Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection","created":"2021-09-23","cited_by_count":14,"area":null},{"id":"2109.06416","title":"MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification","created":"2021-09-14","cited_by_count":12,"area":null},{"id":"2308.14608","title":"AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics","created":"2023-08-28","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":"2412.14686","title":"Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection","created":"2024-12-19","cited_by_count":11,"area":null},{"id":"2111.07819","title":"Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection","created":"2021-11-15","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":"2202.04752","title":"\"This is Fake! Shared it by Mistake\": Assessing the Intent of Fake News Spreaders","created":"2022-02-09","cited_by_count":9,"area":null},{"id":"2404.13192","title":"Heterogeneous Subgraph Transformer for Fake News Detection","created":"2024-04-19","cited_by_count":9,"area":null},{"id":"2502.11361","title":"VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment","created":"2025-02-17","cited_by_count":9,"area":null},{"id":"2110.06495","title":"Cross-lingual COVID-19 Fake News Detection","created":"2021-10-13","cited_by_count":7,"area":null},{"id":"2207.13970","title":"PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence","created":"2022-07-28","cited_by_count":6,"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":"2205.02596","title":"Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims","created":"2022-05-05","cited_by_count":5,"area":null},{"id":"2202.12413","title":"Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement","created":"2022-02-24","cited_by_count":4,"area":null},{"id":"2204.01841","title":"Applying Automatic Text Summarization for Fake News Detection","created":"2022-04-04","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":"2302.01756","title":"DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection","created":"2023-02-01","cited_by_count":4,"area":null},{"id":"2201.06496","title":"ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination","created":"2022-01-17","cited_by_count":3,"area":null},{"id":"2305.11349","title":"Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals","created":"2023-05-18","cited_by_count":3,"area":null},{"id":"2105.03143","title":"AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset","created":"2021-05-07","cited_by_count":2,"area":null},{"id":"2108.13892","title":"Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection","created":"2021-08-31","cited_by_count":2,"area":null},{"id":"2109.01850","title":"Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic","created":"2021-09-04","cited_by_count":2,"area":null},{"id":"2204.03506","title":"QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media","created":"2022-03-08","cited_by_count":2,"area":null},{"id":"2211.14279","title":"Multiverse: Multilingual Evidence for Fake News Detection","created":"2022-11-25","cited_by_count":2,"area":null},{"id":"2301.02792","title":"Linguistic-style-aware Neural Networks for Fake News Detection","created":"2023-01-07","cited_by_count":2,"area":null},{"id":"2405.13094","title":"Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator","created":"2024-05-21","cited_by_count":2,"area":null},{"id":"2505.00008","title":"A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination","created":"2025-04-16","cited_by_count":2,"area":null},{"id":"2107.09768","title":"Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives","created":"2021-07-20","cited_by_count":1,"area":null},{"id":"2112.13910","title":"Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization","created":"2021-12-05","cited_by_count":1,"area":null},{"id":"2209.08129","title":"Evons: A Dataset for Fake and Real News Virality Analysis and Prediction","created":"2022-09-16","cited_by_count":1,"area":null},{"id":"2505.18685","title":"From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation","created":"2025-05-24","cited_by_count":1,"area":null},{"id":"2112.00803","title":"A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks","created":"2021-11-23","cited_by_count":0,"area":null},{"id":"2204.13943","title":"User Experience Design for Automatic Credibility Assessment of News Content About COVID-19","created":"2022-04-29","cited_by_count":0,"area":null},{"id":"2503.24206","title":"Synthetic News Generation for Fake News Classification","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2510.09935","title":"Unpacking Hateful Memes: Presupposed Context and False Claims","created":"2025-10-11","cited_by_count":0,"area":null},{"id":"2511.19858","title":"A Systematic Analysis of Large Language Models with RAG-enabled Dynamic Prompting for Medical Error Detection and Correction","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2609.30427","title":"Fake News Theories: Harnessing Disciplinary Insights for Computational Modeling, Detection, and Explanation","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2609.30882","title":"Effects of Transcript Compression on LLM-based Medical Misinformation Detection in Japanese YouTube Videos","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}