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Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election Process

arXiv 2410.15884 ↗First posted 21 Oct 2024cs.CL cs.AI cs.IRcited by 0

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Abstract (arXiv)

The paper considers an approach of using Google Search API and GPT-4o model for qualitative and quantitative analyses of news through retrieval-augmented generation (RAG). This approach was applied to analyze news about the 2024 US presidential election process. Different news sources for different time periods have been analyzed. Quantitative scores generated by GPT model have been analyzed using Bayesian regression to derive trend lines. The distributions found for the regression parameters allow for the analysis of uncertainty in the election process. The obtained results demonstrate that using the GPT models for news analysis, one can get informative analytics and provide key insights that can be applied in further analyses of election processes.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 20 references that are in the map. First posted on arXiv 21 Oct 2024.

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10 of 20 references.

References · 10

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  3. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 752
  4. 2022News Summarization and Evaluation in the Era of GPT-3cited by 327
  5. 2023AI model GPT-3 (dis)informs us better than humanscited by 78
  6. 2023Disinformation Detection: An Evolving Challenge in the Age of LLMscited by 41
  7. 2023SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learningcited by 38
  8. 2023Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Modelcited by 10
  9. 2022Methods of Informational Trends Analytics and Fake News Detection on Twittercited by 6
  10. 2023Financial News Analytics Using Fine-Tuned Llama 2 GPT Modelcited by 6

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  5. 2024Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions
  6. 2023GPT-4V(ision) as A Social Media Analysis Engine
  7. 2024ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents
  8. 2026Wisdom of the LLM Crowd: A Large Scale Benchmark of Multi-Label U.S. Election-Related Harmful Social Media Content