CNBC Economy Articles Dataset is an invaluable collection of data extracted from CNBC’s economy section, offering deep insights into global and U.S. economic trends, market dynamics, financial policies, and industry developments.

This dataset encompasses a diverse array of economic articles on critical topics like GDP growth, inflation rates, employment statistics, central bank policies, and major global events influencing the market. Designed for researchers, analysts, and businesses, it serves as an essential resource for understanding economic patterns, conducting sentiment analysis, and developing financial forecasting models.

Dataset Highlights

Each record in the dataset is meticulously structured and includes:

• Article Titles
• Publication Dates
• Author Names
• Content Summaries
• URLs to Original Articles

This rich combination of fields ensures seamless integration into data science projects, research papers, and market analyses.

Key Features

• Number of Articles: Hundreds of articles sourced directly from CNBC.
• Data Fields: Includes title, publication date, author, article content, summary, URL, and relevant keywords.
• Topics Covered: U.S. and global economy, GDP trends, inflation, employment, financial markets, and monetary policies.
• Format: Delivered in CSV format for easy integration with research tools and analytical platforms.
• Source: Extracted directly from CNBC’s economy news section, ensuring accuracy and relevance.

Use Cases

• Economic Research: Gain insights into U.S. and global economic policies, market trends, and industry developments.
• Sentiment Analysis: Assess the sentiment of economic articles to gauge market perspectives and investor confidence.
• Financial Modeling: Build forecasting models leveraging key economic indicators discussed in the dataset.
• Content Creation: Develop research-backed reports, articles, and presentations on economic topics.

Who Benefits?

• Researchers & Academics studying macro-economics or financial policy.
  
• Data Scientists building AI models, trend analyzers, or economic forecasting tools.
  
• Economists & Analysts need real-world news data for policy analysis.
  
• Content Strategists who write data-backed articles about economic trends.

Why Choose This Dataset?

• No need to manually scrape CNBC — data is pre-extracted and clean.
  
• High-quality economy news metadata enables detailed filtering (by date, author, topic).
  
• Ready for machine learning, sentiment analysis, or building news-based economic models.
  
• Well-suited for trend tracking, policy analysis, and economic forecasting.

Explore More News Datasets

Interested in additional structured news datasets for your research or analytics needs? Check out our news dataset collection to find datasets tailored for diverse analytical applications.

All news from 27 popular telegram channels about economics in russian from channels' beggining till late july 2023 (it will be updated over time). It has 1.125.184 unique texts. All channels have only news without any analitics or recommendations. And I tried to clear advertizing messeges as best as I could. Columns: date — date and time of news publication; message_raw — news cleared of smiles and utility symbols such as ' ', '\t'; message_lemm — lemmatized with pymorphy2 news; fwd_from — info about original chanel if message was forwaded views — how much views messages have; forwards — how much times the message was forwaded; source — name of Telegram channel

Techsalerator's News Events Data for Peru: A Comprehensive Overview

Techsalerator's News Events Data for Peru offers a valuable resource for businesses, researchers, and media organizations. This dataset compiles information on significant news events across Peru, sourced from a variety of media channels including news outlets, online publications, and social platforms. It provides critical insights for tracking trends, analyzing public sentiment, and monitoring industry-specific developments.

Key Data Fields - Event Date: Records the exact date of the news event, essential for tracking trends over time or responding to market shifts. - Event Title: A concise headline describing the event, allowing users to quickly assess and categorize news content based on relevance. - Source: Identifies the news outlet or platform reporting the event, aiding users in tracking credible sources and evaluating the event's reach and influence. - Location: Provides geographic details indicating where the event occurred within Peru, valuable for regional analysis or localized marketing. - Event Description: A detailed summary outlining the key developments, participants, and potential impact of the event. This helps users understand the context and implications.

Top 5 News Categories in Peru - Politics: Covers major news related to government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on economic indicators, inflation rates, international trade, and corporate activities impacting the business and finance sectors in Peru. - Social Issues: Includes news on protests, public health, education, and other societal concerns that influence public discourse. - Sports: Highlights events in popular sports such as football, volleyball, and others, capturing widespread public attention and engagement. - Technology and Innovation: Reports on tech developments, startups, and innovations within Peru’s evolving tech ecosystem, featuring new companies and advancements.

Top 5 News Sources in Peru - El Comercio: A leading news outlet offering comprehensive coverage of national politics, economics, and social issues. - La República: A major newspaper known for its detailed updates on breaking news, politics, and current affairs. - RPP Noticias: A prominent news platform providing timely coverage of a wide range of topics including politics, economy, and social issues. - Perú21: Offers extensive coverage on national and international news, focusing on politics, business, and entertainment. - Gestión: Specializes in economic and business news, providing insights into market trends and financial developments.

Accessing Techsalerator’s News Events Data for Peru To access Techsalerator’s News Events Data for Peru, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for tracking significant events in Peru, aiding in informed decision-making for business strategy, market analysis, or academic research, and providing a comprehensive view of the country's news landscape.

yjernite/news-economy-coverage dataset hosted on Hugging Face and contributed by the HF Datasets community

That the economy influences support for the government is a cornerstone of electoral research, but how this comes about is less understood. Largely due to limited availability of economic news data, research has not been able to estimate how much of the economy's effect on the vote is direct and how much is driven by media coverage of the economy. New data and automated text analysis make possible the first media-oriented mediation analysis of the economic vote. Using three million news articles from 15 developed countries, we demonstrate that about 30\% of the effect of growth is mediated through news sentiment. In contrast, the effect of unemployment on elections is direct. Deviations of economic reporting from the actual economy correlate with election outcomes, though not as much as is sometimes presumed, as we detail in two examples.

The news: The present dataset consists of 1789 news articles from the British daily newspaper The Guardian extracted using the content endpoint of The Guardian Open Platform. The news articles were, at the time, all the news corresponding to the sections: business, politics, society and world news for the entire month of January of 2013 (for a total of 1689 news) and an extra set of news articles randomly selected from the period Febrary of 2013 to December of 2015 (100 news articles). The first set of 1689 news articles was used for training and the second set of 100 news articles was used for testing in two publications: * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2018, November. A Supervised Term-Weighting Method and its Application to Variable Extraction from Digital Media. In XIX Simposio Argentino de Inteligencia Artificial (ASAI)-JAIIO 47 (CABA, 2018). * Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2019. A Flexible Supervised Term-Weighting Technique and its Application to Variable Extraction and Information Retrieval. Inteligencia Artificial, 22(63), pp.61-80. The labels: The entire dataset was manually classified into two possible categories: economically relevant and irrelevant. The labelling process was carried out by two experts in Economy working in collaboration. For each news article, the full text of the article was analyzed to determine the category. The format: There are two different versions for this dataset: the reduced and the full versions. The former consists of a CSV and a readme file. The CSV file has five columns: "Instance No.", "Title", "Web Publication Date", "web URL" and "Economically Relevant". This version is reduced in columns as it does not include the full article texts; however, it does include all the 1789 instances. Requesting the full dataset: To gain access to the full version of the dataset (which includes the body of the news articles), please send an email to mariano.maisonnave@cs.uns.edu.ar with a copy to openplatform@theguardian.com requesting authorization and making it clear that the data set will not be used for commercial purposes.

Techsalerator's News Events Data for the United Arab Emirates: A Comprehensive Overview

Techsalerator's News Events Data for the United Arab Emirates provides a robust resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across the UAE, sourced from a variety of media outlets, online publications, and social platforms. It offers valuable insights for those interested in tracking trends, analyzing public sentiment, or monitoring industry-specific developments.

Key Data Fields - Event Date: Records the exact date of the news event, essential for tracking trends over time or for businesses adapting to market changes. - Event Title: A concise headline summarizing the event, helping users quickly categorize and evaluate news content based on their interests. - Source: Identifies the news outlet or platform where the event was reported, aiding in tracking credible sources and assessing the event's reach and influence. - Location: Provides geographic details, indicating where the event occurred within the UAE, valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, including key developments, participants, and potential impact. Useful for understanding the context and implications of the event.

Top 5 News Categories in the UAE - Politics: Covers major news related to government decisions, political movements, elections, and policy changes impacting the national landscape. - Economy: Focuses on economic indicators, inflation rates, international trade, and corporate activities influencing the business and finance sectors. - Social Issues: Includes news on public health, education, protests, and other societal concerns driving public discourse. - Sports: Highlights events in popular sports like football and cricket, which often garner significant attention and engagement across the country. - Technology and Innovation: Reports on advancements in the UAE’s tech sector, featuring emerging companies, startups, and technological developments.

Top 5 News Sources in the UAE - The National: A leading English-language news outlet providing comprehensive coverage of politics, economy, and social issues. - Khaleej Times: A prominent newspaper offering updates on a broad range of topics, including politics, business, and lifestyle. - Gulf News: Known for its extensive reporting on local and international news, covering politics, economy, and social matters. - Emirates News Agency (WAM): The official state news agency delivering updates on significant events, public health, and sports. - Al Arabiya: A major news network offering insights into politics, economics, and regional developments.

Accessing Techsalerator’s News Events Data for the UAE To access Techsalerator’s News Events Data for the UAE, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

Techsalerator’s dataset is an invaluable tool for keeping track of significant events in the UAE. It supports informed decision-making, whether for business strategy, market analysis, or academic research, offering a clear view of the country’s news landscape.

yjernite/news-economy-embed-Qwen06B-2048 dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset provides values for /COUNTRY LIST/GOVERNMENT DEBT TO GDPHTTP:/WWW.ECONOMICSHELP.ORG/NEWS/774/ECONOMICS/API reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

There is substantial evidence that voters’ choices are shaped by assessments of the state of the economy and that these assessments, in turn, are influenced by the news. But how does the economic news track the welfare of different income groups in an era of rising inequality? Whose economy does the news cover? Drawing on a large new dataset of U.S. news content, we demonstrate that the tone of the economic news strongly and disproportionately tracks the fortunes of the richest households, with little sensitivity to income changes among the non-rich. Further, we present evidence that this pro-rich bias emerges not from pro-rich journalistic preferences but, rather, from the interaction of the media’s focus on economic aggregates with structural features of the relationship between economic growth and distribution. The findings yield a novel explanation of distributionally perverse electoral patterns and demonstrate how distributional biases in the economy condition economic accountability.

News of topics of Econom & Finance, published by the Press Office of the Bilbao City Council.

Retail Sales in the United States increased 0.20 percent in September of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

News audiences in Norway were the most likely to pay for online news according to a global study on paid digital news content consumption, with 42 percent having paid for news online in the last year. Ranked second was Sweden, followed by Switzerland, Australia, and Austria. With the changing media landscape leading to more and more consumers turning to digital sources to access the news, publishers are adding paywalls on their sites. However, not all consumers are equally inclined to pay for digital news content. Italy and UK news audiences for example were substantially less likely to pay for online news than U.S. consumers. Why pay for online news? The reasons for paying for news are diverse and dependent on various factors. The digitalization of news allows stories to be shared and disseminated on a global scale, but not all sources are reliable or credible. For consumers, it is often difficult to identify trustworthy news sources, and as such which sources they would happily pay for. Consumers may also be reluctant to pay for news because of the sheer amount of free content online. Whilst the availability of free content made news more accessible, at the same time this impacts journalists and publishers. In Finland for example, this has led to a correlated decrease in sales of printed content. As traditional print publications move online, there is also a growing reliance on advertising to generate revenue. Users are encouraged to pay for access to restricted material as publishers limit content to members only. Consumer’s willingness to pay was seen to be dependent on content, with Americans happier to pay for news than features or e-magazines. Impact of the coronavirus With the coronavirus pandemic forcing millions across the globe to stay at home, having access to digital news has never been more crucial, accordingly an increase of subscribers paying for premium news content could be expected. However the health crisis has also led to economic hardship for many, which may instead lead to people cutting out luxuries such as paid news subscriptions. In the UK for example, 2020 saw a decrease in people paying for news content compared to the previous year. With the pandemic dominating news reports, 2020 also saw audiences experience news fatigue, and after a year of news coverage saturated with coronavirus updates, consumers may feel the need to switch off entirely.

This dataset is about news. It has 1 row and is filtered where the keywords includes Economic assistance-Ghana. It features one column called news link.

The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Producer Price Index by Industry: Newspaper Publishers: Weekly and Other Newspaper Advertising Sales (DISCONTINUED) (PCU5111105111104) from Jun 1999 to Sep 2015 about periodicals, advertisement, printing, sales, PPI, industry, inflation, price index, indexes, price, and USA.

The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

Average Weekly Wages for Employees in Private Establishments in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) was 1184.84542 $ per Week in January of 2025, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Private Establishments in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) reached a record high of 1184.84542 in January of 2025 and a record low of 365.51533 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Private Establishments in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) - last updated from the United States Federal Reserve on November of 2025.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.