The dataset consists of a list of news articles headlines retrieved from tweets published by @BBCBreaking profile in specific years (2012, 2015, 2017, 2019 and 2022).

The dataset is in .csv format and is organised as follows:

Columns:

ID (tweet ID)

created_at (tweet publication's date)

url (url of the news article attached to the tweet)

Titles (news headline)

Rows: Each row contains a single news article headline sorted by date of publication (created_at). Total number of entries: 7213.

For more details about data collection refer to Github.

Content

This dataset contains tweets from the Twitter accounts of BBC, CNN and the Economist from 2010-2021.

Methodology

Scraped tweets using twint, an advanced Twitter scraping tool that allows us to scrape tweets from Twitter profiles without using Twitter's API. The documentation can be found here.

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

Techsalerator's News Events Data for the United Kingdom provides a robust resource for businesses, researchers, and media organizations. This dataset aggregates information on major news events across the UK from various media sources, including news outlets, online publications, and social platforms. It offers valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

Key Data Fields - Event Date: Records the exact date of the news event. Essential for analysts tracking trends over time or businesses reacting to market changes. - Event Title: A concise headline summarizing the event. Allows users to quickly categorize and evaluate news content based on relevance. - Source: Indicates the news outlet or platform reporting the event. Helps users gauge credibility and assess the event's reach and influence. - Location: Provides geographic details about where the event occurred within the UK. Useful for regional analysis or localized marketing strategies. - Event Description: Offers a detailed summary of the event, including key developments, participants, and potential impact. Important for understanding the context and implications.

Top 5 News Categories in the United Kingdom - Politics: Covers major news on 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 business and finance sectors. - Social Issues: Includes news on protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in football, cricket, and other popular sports, often generating widespread attention and engagement. - Technology and Innovation: Reports on tech developments, startups, and innovations in the UK’s tech sector, featuring emerging companies and advancements.

Top 5 News Sources in the United Kingdom - BBC News: A leading news outlet known for its comprehensive coverage of national and international news, including politics, economy, and social issues. - The Guardian: Provides in-depth reporting on a wide range of topics, including politics, culture, and current affairs. - Sky News: Offers breaking news updates and live coverage on major events across the UK and globally. - The Times: A well-established newspaper delivering detailed reports on politics, business, and social issues. - The Telegraph: Features extensive coverage of news, politics, and lifestyle topics, known for its analysis and commentary.

Accessing Techsalerator’s News Events Data for the United Kingdom To access Techsalerator’s News Events Data for the United Kingdom, 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 the United Kingdom. It supports informed decision-making, whether for business strategy, market analysis, or academic research, providing a clear view of the country’s news landscape.

Using all stocks listed on the Japanese equity market and macroeconomic data for Japan, the dataset comprises the following series:

1. Japan_25_Portfolios_MV_PTBV: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
2. Japan_25_Portfolios_MV_PE: Monthly returns for 25 size-PE portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
3. Japan_50_Portfolios_SECTOR: Monthly returns for 50 industry portfolios. (Raw data source: Datastream database)
4. Japan_3 Factors: Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database)
5. Japan_5 Factors: Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology. (Raw data source: Datastream database)
6. Japan_NUCLEAR_Y: Instrument in years with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
7. Japan_NUCLEAR_M: Instrument in months with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
8. Japan_RF_M: Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD)
9. Company data: Names and general data of the companies that constitute the sample. (Raw data source: Datastream database)
10. Number of stocks in portfolios: Number of stocks included each year in Japan_25_Portfolios_MV_PTBV, Japan_25_Portfolios_MV_PE and Japan_50_Portfolios_SECTOR. (Raw data source: Datastream database)

We have produced all return series using the following data from Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) price-to-earnings ratio (PE series), and (vii) industry (SECTOR series). We have used the generic rules suggested by Griffin, Kelly, & Nardari (2010) for excluding non-common equity securities from Datastream data. We also exclude stocks with less than twelve observations. Accordingly, our sample comprises a total number of 5,212 stocks.

REFERENCES:

Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.

Interbank Rate in the United Kingdom remained unchanged at 5.30 percent on Wednesday July 10. This dataset provides - United Kingdom Three Month Interbank Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.