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.

Daily News Sentiment Index data was reported at -0.085 Index in 04 May 2025. This records an increase from the previous number of -0.104 Index for 03 May 2025. Daily News Sentiment Index data is updated daily, averaging 0.017 Index from Jan 1980 (Median) to 04 May 2025, with 16542 observations. The data reached an all-time high of 0.330 Index in 05 Mar 2017 and a record low of -0.671 Index in 15 May 2020. Daily News Sentiment Index data remains active status in CEIC and is reported by Federal Reserve Bank of San Francisco. The data is categorized under Global Database’s United States – Table US.S030: Daily News Sentiment Index.

China's shift to Western-style diets is driving global economic changes, influencing meat demand and international trade dynamics.

MT Newswires offers premium intra-day global markets commentary and breaking news on a wide range of economic, equity, fixed income, energy commodity and FX markets, covering the US, Canada, Europe, and Asia with a focus on the most widely followed securities and events in developed markets and economies. Reports are designed to give the reader a quick and precise picture of the data, while analysts highlight both the immediate impact on the markets as well as the longer run implications for the economy and central bank policy. The Live Briefs Global Markets service is designed to keep a broad range of market participants and wealth managers alerted to market moving events around the globe. o 160 categories of original, real time multi-asset class coverage of equities, treasuries, commodities, options, ETFs and economies throughout the trading and business day; o Global Equities -Significant events affecting individual public companies in Europe, North America and Asia; o Global Economic news and market summaries; o Sector summaries (pre-market, mid-day and closing); o Forex commentary covering the major global currencies; o Energy and precious metal news and daily summaries; o Top News updates throughout each business day; o Earnings estimate changes; o Analyst rating changes; o After Hours and Pre-Market news, trading activity and technical price levels indications; o Market Chatter & Street Color– real time market moving insights from traders and investment professionals globally; o ETF Power Play- Daily trends in ETF trading activity; o Insider Trends – Notable individual and sector related insider trading activity; o Zero noise: Only premium, original news and event analysis. Never any fillers (press releases, non-market related news, etc.)

The economics news website Boursorama.com topped the ranking as the most visited online economics and legal newspaper as of July 2024 in France, with a total number of visits exceeding 41.62 million visits. The websites LesEchos.fr and Capital.fr came in second and third positions, with around 26 and 25 million visits respectively in France in July 2024.

News Sentiment Index Trend data was reported at 104.830 Index in 02 May 2025. This records a decrease from the previous number of 106.560 Index for 30 Apr 2025. News Sentiment Index Trend data is updated daily, averaging 101.190 Index from Jan 2005 (Median) to 02 May 2025, with 7076 observations. The data reached an all-time high of 125.840 Index in 03 May 2021 and a record low of 59.790 Index in 15 Mar 2020. News Sentiment Index Trend data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.S013: News Sentiment Index.

The Gross Domestic Product (GDP) in the United States was worth 27720.71 billion US dollars in 2023, according to official data from the World Bank. The GDP value of the United States represents 26.29 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on US GDP, consumption and investment growth, our results suggest that the news data contains information not captured by the hard economic indicators, and that the news-based data are particularly informative for forecasting consumption developments.

Economic Policy Uncertainty : News-Based for the United States was 715.59055 Index in April of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty : News-Based for the United States reached a record high of 715.59055 in April of 2025 and a record low of 44.78275 in July of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty : News-Based for the United States - last updated from the United States Federal Reserve on May of 2025.

Dataset - Economic risks of climate change : an American prospectus in the news

This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

Examples of Annotated Headlines


    Forex Pair
    Headline
    Sentiment
    Explanation




    GBPUSD 
    Diminishing bets for a move to 12400 
    Neutral
    Lack of strong sentiment in either direction


    GBPUSD 
    No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft 
    Positive
    Positive sentiment towards GBPUSD (Cable) in the near term


    GBPUSD 
    When are the UK jobs and how could they affect GBPUSD 
    Neutral
    Poses a question and does not express a clear sentiment


    JPYUSD
    Appropriate to continue monetary easing to achieve 2% inflation target with wage growth 
    Positive
    Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply


    USDJPY
    Dollar rebounds despite US data. Yen gains amid lower yields 
    Neutral
    Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other


    USDJPY
    USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains 
    Negative
    USDJPY is expected to reach a lower value, with the USD losing value against the JPY


    AUDUSD

    <p>RBA Governor Lowe’s Testimony High inflation is damaging and corrosive </p>

    Positive
    Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD.

Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

This provides announcements via RSS of new releases and updates from USDA Economic Research Service.

RSS (Really Simple Syndication) is an easy way for you to be alerted when content that interests you appears on your favorite web sites. Instead of visiting a particular web site to browse for new articles and features or waiting for the publisher to alert you of new releases, RSS automatically tells you when something new is posted online (called a "feed").

ERS offers RSS feeds with headlines, descriptions, and links back to ERS for the full story. Feeds cover data products, publications, outlook reports, Amber Waves e-zine, news/media, and several agricultural economic topics.

This data file contains news intensity measures for the UK and US, based on semantic fingerprints of the news articles from New York Times and the respective country. News articles in the following categories are used: Business Day, New York, U.S., World, Technology, Travel, Health, Real Estate, Science, Education, Automobiles, Your Money, Washington, Climate.

Germany Sentix Economic Indicator: Headline: Current Situation data was reported at -18.250 Point in Dec 2022. This records an increase from the previous number of -28.000 Point for Nov 2022. Germany Sentix Economic Indicator: Headline: Current Situation data is updated monthly, averaging 33.076 Point from Jan 2009 (Median) to Dec 2022, with 168 observations. The data reached an all-time high of 72.250 Point in Jan 2018 and a record low of -66.000 Point in May 2020. Germany Sentix Economic Indicator: Headline: Current Situation data remains active status in CEIC and is reported by Sentix. The data is categorized under Global Database’s Germany – Table DE.S049: Sentix Economic Indicator (Discontinued).

Graph and download economic data for Chicago Fed Midwest Economy Index (MEIM683SFRBCHI) from Jun 1976 to May 2021 about midwest, headline figure, indexes, and USA.

Graph and download economic data for Gross Domestic Product: All Industries in Newport News City, VA (GDPALL51700) from 2001 to 2023 about Newport News, Independent City, VA, industry, GDP, and USA.

This dataset is about news. It has 1 row and is filtered where the keywords includes Education-Economic aspects-China. It features 10 columns including source, publication date, section, and news link.

United States Inflation Nowcast: Contribution: Labour Market: Private Sector Payroll: Professional & Business data was reported at 0.002 % in 12 May 2025. This stayed constant from the previous number of 0.002 % for 05 May 2025. United States Inflation Nowcast: Contribution: Labour Market: Private Sector Payroll: Professional & Business data is updated weekly, averaging 0.000 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 1.566 % in 05 Aug 2024 and a record low of 0.000 % in 28 Apr 2025. United States Inflation Nowcast: Contribution: Labour Market: Private Sector Payroll: Professional & Business data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Inflation: Headline.

Do files and simulated data for tables and figures in "Political Polarization in Financial News"

Inflation Nowcast: Contribution: Securities Yield: Treasury Bills Yield: FRB: Secondary Market: 1 Year data was reported at 0.222 % in 12 May 2025. This stayed constant from the previous number of 0.222 % for 05 May 2025. Inflation Nowcast: Contribution: Securities Yield: Treasury Bills Yield: FRB: Secondary Market: 1 Year data is updated weekly, averaging 0.062 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 5.350 % in 06 Jun 2022 and a record low of 0.001 % in 11 Oct 2021. Inflation Nowcast: Contribution: Securities Yield: Treasury Bills Yield: FRB: Secondary Market: 1 Year data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Inflation: Headline.