{"total":78,"rows":[{"id":"2309.13788","title":"Can LLM-Generated Misinformation Be Detected?","created":"2023-09-25","cited_by_count":177,"area":null},{"id":"2310.00305","title":"Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method","created":"2023-09-30","cited_by_count":97,"area":null},{"id":"2309.15847","title":"Disinformation Detection: An Evolving Challenge in the Age of LLMs","created":"2023-09-25","cited_by_count":41,"area":null},{"id":"2310.09754","title":"EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification","created":"2023-10-15","cited_by_count":36,"area":null},{"id":"2308.10800","title":"Fact-checking information from large language models can decrease headline discernment","created":"2023-08-21","cited_by_count":22,"area":null},{"id":"2502.04426","title":"The simulation of judgment in LLMs","created":"2025-02-06","cited_by_count":22,"area":null},{"id":"2311.01766","title":"Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation","created":"2023-11-03","cited_by_count":21,"area":null},{"id":"2411.05060","title":"A Guide to Misinformation Detection Data and Evaluation","created":"2024-11-07","cited_by_count":10,"area":null},{"id":"2505.23785","title":"Meaning Is Not A Metric: Using LLMs to make cultural context legible at scale","created":"2025-05-23","cited_by_count":10,"area":null},{"id":"2602.07432","title":"The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societies","created":"2026-02-07","cited_by_count":10,"area":null},{"id":"2311.10587","title":"Countering Misinformation via Emotional Response Generation","created":"2023-11-17","cited_by_count":9,"area":null},{"id":"2406.02798","title":"Promotional Language and the Adoption of Innovative Ideas in Science","created":"2024-06-04","cited_by_count":8,"area":null},{"id":"2502.16181","title":"BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking","created":"2025-02-22","cited_by_count":8,"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":"2407.18147","title":"The FIGNEWS Shared Task on News Media Narratives","created":"2024-07-25","cited_by_count":7,"area":null},{"id":"2408.11871","title":"MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models","created":"2024-08-19","cited_by_count":7,"area":null},{"id":"2406.11260","title":"Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection","created":"2024-06-17","cited_by_count":6,"area":null},{"id":"2410.07083","title":"Stanceformer: Target-Aware Transformer for Stance Detection","created":"2024-10-09","cited_by_count":5,"area":null},{"id":"2412.15189","title":"Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking","created":"2024-12-19","cited_by_count":5,"area":null},{"id":"2503.16679","title":"Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Models","created":"2025-03-20","cited_by_count":5,"area":null},{"id":"2312.11870","title":"A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT","created":"2023-12-19","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":"2410.18390","title":"Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey","created":"2024-10-24","cited_by_count":4,"area":null},{"id":"2410.20293","title":"A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases","created":"2024-10-26","cited_by_count":4,"area":null},{"id":"2504.03520","title":"Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles","created":"2025-04-04","cited_by_count":4,"area":null},{"id":"2601.11459","title":"Interactive Narrative Analytics: Bridging Computational Narrative Extraction and Human Sensemaking","created":"2026-01-16","cited_by_count":4,"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":"2312.03751","title":"Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing","created":"2023-12-02","cited_by_count":3,"area":null},{"id":"2509.25539","title":"Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2308.04961","title":"CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks","created":"2023-08-09","cited_by_count":2,"area":null},{"id":"2309.09274","title":"Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking","created":"2023-09-17","cited_by_count":2,"area":null},{"id":"2309.11576","title":"Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets","created":"2023-09-20","cited_by_count":2,"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":"2310.13890","title":"COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News","created":"2023-10-21","cited_by_count":2,"area":null},{"id":"2407.13929","title":"Unmasking Social Bots: How Confident Are We?","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2412.07019","title":"Assessing the Impact of Conspiracy Theories Using Large Language Models","created":"2024-12-09","cited_by_count":2,"area":null},{"id":"2501.18265","title":"Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking","created":"2025-01-30","cited_by_count":2,"area":null},{"id":"2509.02372","title":"Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs","created":"2025-09-02","cited_by_count":2,"area":null},{"id":"2602.08945","title":"GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Search","created":"2026-02-09","cited_by_count":2,"area":null},{"id":"2310.04592","title":"From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context","created":"2023-10-06","cited_by_count":1,"area":null},{"id":"2312.03750","title":"Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time","created":"2023-12-01","cited_by_count":1,"area":null},{"id":"2502.14943","title":"GenAI vs. Human Fact-Checkers: Accurate Ratings, Flawed Rationales","created":"2025-02-20","cited_by_count":1,"area":null},{"id":"2504.08102","title":"Multi-view autoencoders for Fake News Detection","created":"2025-04-10","cited_by_count":1,"area":null},{"id":"2509.05753","title":"Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics","created":"2025-09-06","cited_by_count":1,"area":null},{"id":"2510.17252","title":"Quantifying Affective Bias in Low-Resource Media: Large-Scale Emotion Profiling of Bengali Headlines","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2602.02100","title":"The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2602.02175","title":"CIEC: Coupling Implicit and Explicit Cues for Multimodal Weakly Supervised Manipulation Localization","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2604.03755","title":"Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News","created":"2026-04-04","cited_by_count":1,"area":null},{"id":"2604.09960","title":"Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning","created":"2026-04-10","cited_by_count":1,"area":null},{"id":"2605.19285","title":"Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2308.04950","title":"Performance Analysis of Transformer Based Models (BERT, ALBERT and RoBERTa) in Fake News Detection","created":"2023-08-09","cited_by_count":0,"area":null},{"id":"2309.13069","title":"Machine Learning Technique Based Fake News Detection","created":"2023-09-18","cited_by_count":0,"area":null},{"id":"2310.11344","title":"The effect of stemming and lemmatization on Portuguese fake news text classification","created":"2023-10-17","cited_by_count":0,"area":null},{"id":"2310.13219","title":"HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades","created":"2023-10-20","cited_by_count":0,"area":null},{"id":"2404.03437","title":"Knowledge Graph Representation for Political Information Sources","created":"2024-04-04","cited_by_count":0,"area":null},{"id":"2404.03685","title":"Cooperative Evolutionary Pressure and Diminishing Returns Might Explain the Fermi Paradox: On What Super-AIs Are Like","created":"2024-04-01","cited_by_count":0,"area":null},{"id":"2408.13091","title":"Analysis of child development facts and myths using text mining techniques and classification models","created":"2024-08-23","cited_by_count":0,"area":null},{"id":"2409.16623","title":"On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction","created":"2024-09-25","cited_by_count":0,"area":null},{"id":"2410.14814","title":"Effects of Soft-Domain Transfer and Named Entity Information on Deception Detection","created":"2024-10-18","cited_by_count":0,"area":null},{"id":"2504.21334","title":"Simple Visual Artifact Detection in Sora-Generated Videos","created":"2025-04-30","cited_by_count":0,"area":null},{"id":"2505.16081","title":"BiasLab: Toward Explainable Political Bias Detection with Dual-Axis Annotations and Rationale Indicators","created":"2025-05-21","cited_by_count":0,"area":null},{"id":"2508.17131","title":"The Power of Framing: How News Headlines Guide Search Behavior","created":"2025-08-23","cited_by_count":0,"area":null},{"id":"2512.02552","title":"From Veracity to Diffusion: Adressing Operational Challenges in Moving From Fake-News Detection to Information Disorders","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2602.02838","title":"Beyond Content: Behavioral Policies Reveal Actors in Information Operations","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.10935","title":"What do people want to fact-check?","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2602.23123","title":"Multi-Agent Large Language Model Based Emotional Detoxification Through Personalized Intensity Control for Consumer Protection","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2603.22977","title":"DariMis: Harm-Aware Modeling for Dari Misinformation Detection on YouTube","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2604.08802","title":"Alleviating Community Fear in Disasters via Multi-Agent Actor-Critic Reinforcement Learning","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.09514","title":"Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2605.01727","title":"Are LLMs More Skeptical of Entertainment News?","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2605.13861","title":"Spectral Analysis of Fake News Propagation","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2605.27551","title":"On the Origin of Synthetic Information by Means of Steganographic Inheritance","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2608.17454","title":"From Entity Mentions to Tone: An LLM-Based Pipeline for Media Bias Analysis","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2608.27358","title":"RCMN: Understanding Misleadingness in Influential Public Discourse","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.35821","title":"CrisisFake: Benchmark Validity of AI-Generated Text Detection for Disaster Social Sensing","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.36850","title":"Rethinking Multimodal Fake News Detection in the Generative AI Era","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.05275","title":"Inductive Claims Extraction at Scale","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.17469","title":"Assessing the Performance of AI Models in Misinformation Detection Using Predefined Social Noise Constructs","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}