mlsanityData to 14 Oct 2026

Automatic News Generation and Fact-Checking System Based on Language Processing

arXiv 2405.10492 ↗First posted 17 May 2024cs.CL cs.LGcited by 22

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Abstract (arXiv)

This paper explores an automatic news generation and fact-checking system based on language processing, aimed at enhancing the efficiency and quality of news production while ensuring the authenticity and reliability of the news content. With the rapid development of Natural Language Processing (NLP) and deep learning technologies, automatic news generation systems are capable of extracting key information from massive data and generating well-structured, fluent news articles. Meanwhile, by integrating fact-checking technology, the system can effectively prevent the spread of false news and improve the accuracy and credibility of news. This study details the key technologies involved in automatic news generation and factchecking, including text generation, information extraction, and the application of knowledge graphs, and validates the effectiveness of these technologies through experiments. Additionally, the paper discusses the future development directions of automatic news generation and fact-checking systems, emphasizing the importance of further integration and innovation of technologies. The results show that with continuous technological optimization and practical application, these systems will play an increasingly important role in the future news industry, providing more efficient and reliable news services.

Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). Builds on 18 of its 24 references that are in the map. First posted on arXiv 17 May 2024.

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18 of 24 references.

References · 18

  1. 2024Visual In-Context Learning for Large Vision-Language Modelscited by 128
  2. 2024Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Reviewcited by 53
  3. 2024Exploring Diverse Methods in Visual Question Answeringcited by 45
  4. 2021EventBERT: A Pre-Trained Model for Event Correlation Reasoningcited by 40
  5. 2024Regional Style and Color Transfercited by 30
  6. 2024DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAMcited by 23
  7. 2019Confidence Trigger Detection: Accelerating Real-time Tracking-by-detection Systemscited by 21
  8. 2023Source-free Domain Adaptive Human Pose Estimationcited by 15
  9. 2024A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimationcited by 15
  10. 2024Rumor Detection with a novel graph neural network approachcited by 15
  11. 2024Utilizing Deep Learning to Optimize Software Development Processescited by 15
  12. 2024Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learningcited by 15
6 more
  1. 2024Image Captioning in news report scenariocited by 12
  2. 2024Research on Image Recognition Technology Based on Multimodal Deep Learningcited by 11
  3. 2022RAIN: RegulArization on Input and Network for Black-Box Domain Adaptationcited by 9
  4. 2024The application of Augmented Reality (AR) in Remote Work and Educationcited by 8
  5. 2024Research on Intelligent Aided Diagnosis System of Medical Image Based on Computer Deep Learningcited by 8
  6. 2024Research on emotionally intelligent dialogue generation based on automatic dialogue systemcited by 5

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Citing papers per year: 2024: 18; 2025: 4.

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  1. 2024Deep Learning-based Anomaly Detection and Log Analysis for Computer Networkscited by 23
  2. 2024Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU modelcited by 18
  3. 2024Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusioncited by 16
  4. 2024Enhancing Healthcare through Large Language Models: A Study on Medical Question Answeringcited by 14
  5. 2024Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysiscited by 12
  6. 2024Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approachcited by 11
  7. 2024Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Modelscited by 9
  8. 2024EITNet: An IoT-Enhanced Framework for Real-Time Basketball Action Recognitioncited by 8
  9. 2024Deep Learning in Medical Image Classification from MRI-based Brain Tumor Imagescited by 7
  10. 2024LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecastingcited by 7
  11. 2024Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithmcited by 7
  12. 2024IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPosecited by 7
10 more
  1. 2024TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting modelcited by 6
  2. 2024Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation Systemcited by 5
  3. 2024GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correctioncited by 5
  4. 2024Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosiscited by 5
  5. 2025Intelligent logistics management robot path planning algorithm integrating transformer and GCN networkcited by 4
  6. 2025MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Trafficcited by 3
  7. 2024Real-Time Summarization of Twittercited by 1
  8. 2024Risk Analysis in Customer Relationship Management via Quantile Region Convolutional Neural Network-Long Short-Term Memory and Cross-Attention Mechanismcited by 0
  9. 2025Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learningcited by 0
  10. 2025DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstructioncited by 0