{"total":20,"rows":[{"id":"2406.08772","title":"MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs","created":"2024-06-13","cited_by_count":61,"area":null},{"id":"2403.01988","title":"FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs","created":"2024-03-04","cited_by_count":38,"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":"2311.00671","title":"Emotion Detection for Misinformation: A Review","created":"2023-11-01","cited_by_count":22,"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":"2107.07970","title":"How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks?","created":"2021-07-16","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":"2211.05985","title":"Using Persuasive Writing Strategies to Explain and Detect Health Misinformation","created":"2022-11-11","cited_by_count":6,"area":null},{"id":"2407.08952","title":"Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection","created":"2024-07-12","cited_by_count":4,"area":null},{"id":"2505.19768","title":"T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2507.09647","title":"KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection","created":"2025-07-13","cited_by_count":4,"area":null},{"id":"2204.11515","title":"Multimodal Dual Emotion with Fusion of Visual Sentiment for Rumor Detection","created":"2022-04-25","cited_by_count":3,"area":null},{"id":"2406.09938","title":"Experiments in News Bias Detection with Pre-Trained Neural Transformers","created":"2024-06-14","cited_by_count":3,"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":"2510.05839","title":"Towards Robust and Realible Multimodal Misinformation Recognition with Incomplete Modality","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2305.10827","title":"Expanding the Role of Affective Phenomena in Multimodal Interaction Research","created":"2023-05-18","cited_by_count":1,"area":null},{"id":"2407.10829","title":"BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy","created":"2024-07-15","cited_by_count":1,"area":null},{"id":"2409.03948","title":"The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networks","created":"2024-09-06","cited_by_count":0,"area":null},{"id":"2409.08522","title":"MAPX: An explainable model-agnostic framework for the detection of false information on social media networks","created":"2024-09-13","cited_by_count":0,"area":null},{"id":"2508.18819","title":"LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection","created":"2025-08-26","cited_by_count":0,"area":null}],"next_cursor":null}