The survey results showed that the main source of political and economic news in Ukraine as of March 2019 was national television, with over three quarters of respondents getting information from Ukrainian TV. One fifth of the population used social media to stay up-to-date with the latest developments on these topics .

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.

Get access to expert global economic and central banking news coverage including exclusive polls on 700 annual key economic releases and policy decisions.

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.

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.)

A. SUMMARY San Francisco offers numerous events and activities tailored for children, youth, and families. However, finding and navigating the disparate sources of information can be a major challenge. Our415.org seeks to simplify this by consolidating all relevant details, ensuring that families can easily find what they need, when they need it. It also encourages discovery of new interests and things to do. This dataset compiles current and upcoming events and activities in San Francisco for children, youth, and their families.

B. HOW THE DATASET IS CREATED This dataset is a consolidation of multiple datasets from contributing City agencies and departments as well as Community Based Organizations. Currently, the information in the dataset is sourced from Rec Park’s activities catalog, SF Public Library’s events calendar, Department of Early Childhood’s family events calendar, and Support for Families' family events calendar. Rec Park activities include any “Open” activities appropriate for ages 0-24, and SF Public Library, Department of Early Childhood, and Support for Families events include events going into the next month.

C. UPDATE PROCESS The dataset will be updated on a daily basis, reflecting changes to the source data.

D. HOW TO USE THIS DATASET Taxonomy related fields and eligibility fields are either AI-determined or assigned through a DCYF-created crosswalk. These values are determined for the purposes of categorization and search functionality on Our415.org. Use with caution - errors may exist.

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 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.

Among the selected economic issues, housing and rental prices were the most concerning for Turkish people in October 2023. They were followed by the high prices of products and services in the country, as 77 percent of the survey respondents were concerned about these issues.

Before The Event (BTE) Insurance Market Outlook

The global market size for Before The Event (BTE) Insurance was valued at approximately USD 3.8 billion in 2023 and is projected to reach around USD 6.9 billion by 2032, growing at a CAGR of 6.7% during the forecast period. The growth of this market is significantly driven by an increasing awareness of risk management and the rising number of events being organized worldwide. As businesses and individuals seek to mitigate potential financial losses due to unforeseen circumstances, the demand for BTE insurance is experiencing robust growth.

One of the primary growth factors for the BTE Insurance market is the escalating threat of event cancellations and liabilities. Factors such as unpredictable weather conditions, political unrest, and health emergencies like pandemics have heightened the need for comprehensive insurance coverage to protect against financial losses. Event organizers and businesses are increasingly recognizing the importance of being prepared for such eventualities, which is driving the demand for various forms of BTE insurance such as event cancellation insurance and liability insurance.

Moreover, the proliferation of corporate events, personal celebrations, sports events, and entertainment shows has also fueled the market. Companies are now more than ever investing in large-scale events for marketing and networking purposes, while individuals are spending significantly on weddings, concerts, and other personal events. The financial stakes involved in these events are high, and BTE insurance offers a safety net that ensures peace of mind for organizers and participants alike. This has contributed to the market's robust expansion.

Technological advancements and the rise of online platforms have added another dimension to the market's growth. Digitalization has made it easier for consumers to access insurance products and compare various plans, thereby enhancing market penetration. Online platforms and digital brokers have democratized the access to BTE insurance, making it more convenient for both individuals and businesses to purchase policies tailored to their specific needs. The ease of doing business online is a significant factor driving market growth.

From a regional perspective, North America and Europe hold the largest market shares due to the high frequency of large-scale events and extensive awareness regarding the benefits of BTE insurance. However, the market in regions like Asia Pacific and Latin America is also witnessing rapid growth, driven by economic development and increasing disposable incomes. As these regions continue to host more international events, the demand for BTE insurance is expected to rise accordingly.

Coverage Type Analysis

The BTE Insurance market can be segmented by coverage type into Legal Expense Insurance, Event Cancellation Insurance, Liability Insurance, and Others. Each of these coverage types serves a specific purpose and addresses different aspects of risk management, contributing to the overall robustness of the market.

Legal Expense Insurance is gaining prominence as legal disputes and litigation become more common in today's complex business environment. This insurance type covers the legal costs associated with various types of disputes, providing financial support and peace of mind to policyholders. Businesses and event organizers are increasingly opting for this coverage to protect against the high costs of legal proceedings, which can be financially draining.

Event Cancellation Insurance is perhaps the most sought-after coverage type, especially in light of recent global events such as the COVID-19 pandemic. This insurance covers financial losses resulting from the cancellation or postponement of events due to unforeseen circumstances such as natural disasters, health emergencies, or even terrorism. As the unpredictability of such events increases, so does the demand for this type of insurance.

Liability Insurance is another critical coverage type, providing protection against claims arising from injuries or damages that occur during an event. This type of insurance is essential for event organizers to mitigate the risks associated with large gatherings. With the rise in the number of public events and increasing awareness of potential liabilities, the market for Liability Insurance is expected to grow significantly.

The "Others" category includes various niche insurance products tailored to specific ne

Russia Consolidated Government Expenditure: Year to Date: NE: General Economic Issues data was reported at 60.747 RUB bn in Jul 2022. This records an increase from the previous number of 49.087 RUB bn for Jun 2022. Russia Consolidated Government Expenditure: Year to Date: NE: General Economic Issues data is updated monthly, averaging 20.965 RUB bn from Jan 2005 (Median) to Jul 2022, with 210 observations. The data reached an all-time high of 87.716 RUB bn in Dec 2021 and a record low of 0.200 RUB bn in Jan 2007. Russia Consolidated Government Expenditure: Year to Date: NE: General Economic Issues data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Russia Premium Database’s Government and Public Finance – Table RU.FA004: Consolidated Government Expenditure: ytd.

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 Description

The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.

The dataset holds 11,932 documents annotated with 3 labels:

sentiments = { "LABEL_0": "Bearish", "LABEL_1": "Bullish", "LABEL_2": "Neutral" }

The data was collected using the Twitter API. The current dataset supports the multi-class classification… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment.

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.

This dataset is about books. It has 1 row and is filtered where the book is Current economic issues in the Irish grain market. It features 7 columns including author, publication date, language, and book publisher.

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.

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

Techsalerator's News Events Data for Cambodia provides an essential resource for businesses, researchers, and media organizations. This dataset compiles information on key news events across Cambodia, drawing from a diverse array of media sources, including news outlets, online publications, and social media 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 precise date of the news event, crucial for trend analysis over time or for businesses reacting to market changes. - Event Title: A concise headline describing the event, enabling users to quickly gauge and categorize news content based on relevance. - Source: Identifies the news outlet or platform reporting the event, helping users track credible sources and evaluate the event's reach and influence. - Location: Provides geographic details about where the event occurred within Cambodia, valuable for regional analysis or targeted marketing. - Event Description: Offers a detailed summary of the event, including key developments, participants, and potential impact, aiding in understanding the context and implications.

Top 5 News Categories in Cambodia - Politics: Covers major news on government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on Cambodia’s economic indicators, trade activities, inflation rates, and corporate news impacting business and finance sectors. - Social Issues: Highlights news on public health, education, social protests, and other societal concerns driving public discourse. - Sports: Features events in popular sports, such as football and martial arts, attracting considerable attention and engagement. - Technology and Innovation: Reports on tech advancements, startups, and innovations in Cambodia’s evolving tech sector.

Top 5 News Sources in Cambodia - The Phnom Penh Post: One of Cambodia's leading English-language newspapers, offering comprehensive coverage of politics, economy, and social issues. - Cambodia Daily: A well-regarded source for news related to national affairs, business, and cultural events. - Fresh News: A prominent online news platform providing real-time updates on breaking news, sports, and entertainment. - Koh Santepheap Daily: A major Khmer-language newspaper known for its extensive reporting on current affairs and local issues. - VOD (Voice of Democracy): An independent news outlet focusing on in-depth coverage of politics, social issues, and investigative journalism.

Accessing Techsalerator’s News Events Data for Cambodia To access Techsalerator’s News Events Data for Cambodia, 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 a valuable tool for tracking significant events in Cambodia. It supports informed decision-making, whether for business strategy, market analysis, or academic research, offering a comprehensive view of the country’s news landscape.

A dashboard used by government agencies to monitor key performance indicators (KPIs) and communicate progress made on strategic outcomes with the general public and other interested stakeholders.

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 RBA Governor Lowe’s Testimony High inflation is damaging and corrosive

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.