{"total":71,"rows":[{"id":"2109.07958","title":"TruthfulQA: Measuring How Models Mimic Human Falsehoods","created":"2021-09-08","cited_by_count":2975,"area":null},{"id":"2202.03629","title":"Survey of Hallucination in Natural Language Generation","created":"2022-02-08","cited_by_count":2075,"area":null},{"id":"2305.03514","title":"Can Large Language Models Transform Computational Social Science?","created":"2023-04-12","cited_by_count":250,"area":null},{"id":"2108.05036","title":"DEMix Layers: Disentangling Domains for Modular Language Modeling","created":"2021-08-11","cited_by_count":132,"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":"2201.10474","title":"Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection","created":"2022-01-25","cited_by_count":53,"area":null},{"id":"2103.12541","title":"A Survey on Multimodal Disinformation Detection","created":"2021-03-13","cited_by_count":47,"area":null},{"id":"2502.09083","title":"Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking","created":"2025-02-13","cited_by_count":29,"area":null},{"id":"2103.12506","title":"A Survey on Predicting the Factuality and the Bias of News Media","created":"2021-03-16","cited_by_count":20,"area":null},{"id":"2204.03839","title":"Infusing Knowledge from Wikipedia to Enhance Stance Detection","created":"2022-04-08","cited_by_count":20,"area":null},{"id":"2410.22954","title":"Retrieval-Augmented Generation with Estimation of Source Reliability","created":"2024-10-30","cited_by_count":19,"area":"rag"},{"id":"2305.14982","title":"LAraBench: Benchmarking Arabic AI with Large Language Models","created":"2023-05-24","cited_by_count":16,"area":null},{"id":"2505.17762","title":"Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs","created":"2025-05-23","cited_by_count":16,"area":"rag"},{"id":"2311.04917","title":"Adapting Fake News Detection to the Era of Large Language Models","created":"2023-11-02","cited_by_count":14,"area":null},{"id":"2109.05325","title":"To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence","created":"2021-09-11","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":"2211.05007","title":"Discord Questions: A Computational Approach To Diversity Analysis in News Coverage","created":"2022-11-09","cited_by_count":11,"area":null},{"id":"2409.00781","title":"Generating Media Background Checks for Automated Source Critical Reasoning","created":"2024-09-01","cited_by_count":10,"area":"lr"},{"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":"2109.07909","title":"Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language","created":"2021-09-13","cited_by_count":6,"area":null},{"id":"2211.05533","title":"GREENER: Graph Neural Networks for News Media Profiling","created":"2022-11-10","cited_by_count":6,"area":null},{"id":"2301.11850","title":"Predicting Sentence-Level Factuality of News and Bias of Media Outlets","created":"2023-01-27","cited_by_count":6,"area":null},{"id":"2406.10289","title":"VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning","created":"2024-06-12","cited_by_count":6,"area":null},{"id":"2104.10130","title":"Hidden Biases in Unreliable News Detection Datasets","created":"2021-04-20","cited_by_count":5,"area":null},{"id":"2201.10376","title":"Modeling Multi-level Context for Informational Bias Detection by Contrastive Learning and Sentential Graph Network","created":"2022-01-25","cited_by_count":5,"area":null},{"id":"2204.10080","title":"Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media","created":"2022-04-21","cited_by_count":5,"area":null},{"id":"2109.00475","title":"Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions","created":"2021-09-01","cited_by_count":4,"area":null},{"id":"2309.07384","title":"An Interactive Framework for Profiling News Media Sources","created":"2023-09-14","cited_by_count":4,"area":null},{"id":"2310.05128","title":"Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification","created":"2023-10-08","cited_by_count":4,"area":null},{"id":"2311.09106","title":"\"We Demand Justice!\": Towards Social Context Grounding of Political Texts","created":"2023-11-15","cited_by_count":4,"area":null},{"id":"2407.02122","title":"Fake News Detection: It's All in the Data!","created":"2024-07-02","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":"2105.12530","title":"Deception detection in text and its relation to the cultural dimension of individualism/collectivism","created":"2021-05-26","cited_by_count":3,"area":null},{"id":"2209.01536","title":"Interpretable Fake News Detection with Topic and Deep Variational Models","created":"2022-09-04","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":"2309.14966","title":"Interactively Learning Social Media Representations Improves News Source Factuality Detection","created":"2023-09-26","cited_by_count":3,"area":null},{"id":"2404.01722","title":"Sentence-level Media Bias Analysis with Event Relation Graph","created":"2024-04-02","cited_by_count":3,"area":null},{"id":"2410.18122","title":"Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models","created":"2024-10-12","cited_by_count":3,"area":null},{"id":"2506.12552","title":"Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts","created":"2025-06-14","cited_by_count":3,"area":null},{"id":"2108.12519","title":"Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels","created":"2021-08-27","cited_by_count":2,"area":null},{"id":"2310.17711","title":"Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term","created":"2023-10-26","cited_by_count":2,"area":null},{"id":"2402.18179","title":"Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2410.17655","title":"Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions","created":"2024-10-23","cited_by_count":2,"area":null},{"id":"2412.10467","title":"MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media","created":"2024-12-12","cited_by_count":2,"area":null},{"id":"2506.12978","title":"Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation","created":"2025-06-15","cited_by_count":2,"area":null},{"id":"2103.08001","title":"Claim Verification using a Multi-GAN based Model","created":"2021-03-14","cited_by_count":1,"area":null},{"id":"2109.04835","title":"FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features","created":"2021-09-10","cited_by_count":1,"area":null},{"id":"2109.09014","title":"A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches","created":"2021-09-18","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":"2212.00298","title":"A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines","created":"2022-12-01","cited_by_count":1,"area":null},{"id":"2309.05981","title":"Learning Unbiased News Article Representations: A Knowledge-Infused Approach","created":"2023-09-12","cited_by_count":1,"area":null},{"id":"2406.00969","title":"Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media","created":"2024-06-03","cited_by_count":1,"area":null},{"id":"2501.00782","title":"Navigating Nuance: In Quest for Political Truth","created":"2025-01-01","cited_by_count":1,"area":null},{"id":"2507.11049","title":"Journalism-Guided Agentic In-Context Learning for News Stance Detection","created":"2025-07-15","cited_by_count":1,"area":null},{"id":"2604.01936","title":"Reliable News or Propagandist News? A Neurosymbolic Model Using Genre, Topic, and Persuasion Techniques to Improve Robustness in Classification","created":"2026-04-02","cited_by_count":1,"area":null},{"id":"2605.14021","title":"Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2101.10973","title":"Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection","created":"2021-01-15","cited_by_count":0,"area":null},{"id":"2103.15581","title":"Supporting verification of news articles with automated search for semantically similar articles","created":"2021-03-29","cited_by_count":0,"area":null},{"id":"2105.10671","title":"SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?","created":"2021-05-22","cited_by_count":0,"area":null},{"id":"2108.03731","title":"Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims","created":"2021-08-08","cited_by_count":0,"area":null},{"id":"2204.05533","title":"How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Image","created":"2022-04-12","cited_by_count":0,"area":null},{"id":"2207.03938","title":"An Approach to Ensure Fairness in News Articles","created":"2022-07-08","cited_by_count":0,"area":null},{"id":"2308.15154","title":"The Anatomy of Conspirators: Unveiling Traits using a Comprehensive Twitter Dataset","created":"2023-08-29","cited_by_count":0,"area":null},{"id":"2410.18670","title":"Health Misinformation in Social Networks: A Survey of IT Approaches","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2510.11277","title":"Towards Real-Time Fake News Detection under Evidence Scarcity","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2510.13749","title":"Assessing Web Search Credibility and Response Groundedness in Chat Assistants","created":"2025-10-15","cited_by_count":0,"area":null},{"id":"2605.01336","title":"A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2605.09483","title":"A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2607.02383","title":"MEDIAREF: A Public Knowledge Store for Media Background Checks","created":"2026-07-02","cited_by_count":0,"area":"rag"},{"id":"2608.15746","title":"Propaganda Forensics: Recovering the Generation Pipeline of an AI-Driven Influence Campaign","created":"2026-08-16","cited_by_count":0,"area":null}],"next_cursor":null}