Unlock the full potential of BBC broadcast data with our comprehensive dataset featuring transcripts, program schedules, headlines, topics, and multimedia resources. This all-in-one dataset is designed to empower media analysts, researchers, journalists, and advocacy groups with actionable insights for media analysis, transparency studies, and editorial assessments.

Dataset Features

Transcripts: Access detailed broadcast transcripts, including headlines, content, author details, and publication dates. Perfect for analyzing media framing, topic frequency, and news narratives across various programs. Program Schedules: Explore program schedules with accurate timing, show names, and related metadata to track news coverage patterns and identify trends. Topics and Keywords: Analyze categorized topics and keywords to understand content diversity, editorial focus, and recurring themes in news broadcasts. Multimedia Content: Gain access to videos, images, and related articles linked to each broadcast for a holistic understanding of the news presentation. Metadata: Includes critical data points like publication dates, last updates, content URLs, and unique IDs for easier referencing and cross-analysis.

Customizable Subsets for Specific Needs Our CNN dataset is fully customizable to match your research or analytical goals. Focus on transcripts for in-depth media framing analysis, extract multimedia for content visualization studies, or dive into program schedules for broadcast trend analysis. Tailor the dataset to ensure it aligns with your objectives for maximum efficiency and relevance.

Popular Use Cases

Media Analysis: Evaluate news framing, content diversity, and topic coverage to assess editorial direction and media focus. Transparency Studies: Analyze journalistic standards, corrections, and retractions to assess media integrity and accountability. Audience Engagement: Identify recurring topics and trends in news content to understand audience preferences and behavior. Market Analysis: Track media coverage of key industries, companies, and topics to analyze public sentiment and industry relevance. Journalistic Integrity: Use transcripts and metadata to evaluate adherence to reporting practices, fairness, and transparency in news coverage. Research and Scholarly Studies: Leverage transcripts and multimedia to support academic studies in journalism, media criticism, and political discourse analysis.

Whether you are evaluating transparency, conducting media criticism, or tracking broadcast trends, our BBC dataset provides you with the tools and insights needed for in-depth research and strategic analysis. Customize your access to focus on the most relevant data points for your unique needs.

Dataset Name: BBC Articles Sentiment Analysis Dataset

Source: BBC News

Description: This dataset consists of articles from the BBC News website, containing a diverse range of topics such as business, politics, entertainment, technology, sports, and more. The dataset includes articles from various time periods and categories, along with labels representing the sentiment of the article. The sentiment labels indicate whether the tone of the article is positive, negative, or neutral, making it suitable for sentiment analysis tasks.

Number of Instances: [Specify the number of articles in the dataset, for example, 2,225 articles]

Number of Features: 1. Article Text: The content of the article (string). 2. Sentiment Label: The sentiment classification of the article. The possible labels are: - Positive - Negative - Neutral

Data Fields: - id: Unique identifier for each article. - category: The category or topic of the article (e.g., business, politics, sports). - title: The title of the article. - content: The full text of the article. - sentiment: The sentiment label (positive, negative, or neutral).

Example: | id | category | title | content | sentiment | |----|-----------|---------------------------|-------------------------------------------------------------------------|-----------| | 1 | Business | "Stock Market Surge" | "The stock market has surged to new highs, driven by strong earnings..." | Positive | | 2 | Politics | "Election Results" | "The election results were a mixed bag, with some surprises along the way." | Neutral | | 3 | Sports | "Team Wins Championship" | "The team won the championship after a thrilling final match." | Positive | | 4 | Technology | "New Smartphone Release" | "The new smartphone release has received mixed reactions from users." | Negative |

Preprocessing Notes: - The text has been preprocessed to remove special characters and any HTML tags that might have been included in the original articles. - Tokenization or further text cleaning (e.g., lowercasing, stopword removal) may be necessary depending on the model and method used for sentiment classification.

Use Case: This dataset is ideal for training and evaluating machine learning models for sentiment classification, where the goal is to predict the sentiment (positive, negative, or neutral) based on the article's text.

Explore the booming Daily Newsletters market, driven by evolving news consumption and digital trends. Discover key insights, market size, growth drivers, and top companies shaping the future of curated news delivery.

Three news sources have been used in creating this dataset. 1. Sun, J. (2016, August). Daily News for Stock Market Prediction, Version 1. Retrieved (2024, August) from https://www.kaggle.com/aaron7sun/stocknews. 2. ARYAN SINGH. NYT Articles: 2.1M+ (2000-Present) Daily Updated. https://www.kaggle.com/datasets/aryansingh0909/nyt-articles-21m-2000-present. 3. GABRIEL PREDA. BBC News. https://www.kaggle.com/datasets/gpreda/bbc-news.

The first source covers from 2008-06-08 to 2016-07-01, the top 25 news of each day from Reddit World News. The second source is a direct import of the abstract column from New York Times articles from 2016-07-01 to 2017-09-05. The third is also a direct import of the description column from BBC News from 2017-09-05 to 2024-08-03. Thus, the whole coverage is from 2008-06-08 to 2024-08-03.

Three models have been used for sentiment results. NLTK VADER is applied first as it is the most lightweight and fastest to apply on large amounts of data. But, as news is mostly neural, NLTK vader gave a 1.0 neutral score for around 25% of the data. Therefore, two more advanced models, NLTK RoBERTa and HUGGING FACE distilbert-base-uncased-finetuned-sst-2-english, are applied to these neutral articles to identify them accurately.

Part of my school project for Nanyang Polytechnic | AI & Data Engineering

The global news app market is experiencing robust growth, driven by increasing smartphone penetration, readily available high-speed internet, and a rising demand for personalized and on-the-go news consumption. The market, estimated at $50 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $150 billion by 2033. Key growth drivers include the increasing adoption of subscription models by news publishers, offering premium content and ad-free experiences, as well as sophisticated algorithms providing personalized news feeds. Furthermore, advancements in artificial intelligence (AI) are enabling enhanced features like real-time news alerts, curated content based on user preferences, and advanced search functionalities. The market is segmented by application (subscription services and advertising) and by type (Android, iOS, web app, and others), with significant variations in revenue generation and user base across these categories. Competition is intense, with established tech giants like Apple, Google, and Microsoft vying for market share alongside specialized news providers such as The New York Times, BBC, and CNN, and emerging players leveraging social media integration and innovative content formats. Geographic distribution shows North America and Europe currently dominating the market, but significant growth potential lies within the Asia-Pacific region, driven primarily by the expanding digital landscape and increasing internet penetration in countries like India and China. Market restraints include concerns regarding data privacy and security, the spread of misinformation and “fake news,” and the evolving challenges of maintaining a sustainable revenue model in a fiercely competitive environment. The industry faces ongoing challenges in monetizing user engagement and balancing user experience with data collection practices. Future growth will likely depend on the ability of news apps to adapt to evolving user preferences, enhance their features through AI and machine learning, effectively address misinformation, and successfully navigate the complexities of data privacy regulations. The ongoing development of personalized news experiences, coupled with innovative subscription models and strategic partnerships, will be crucial for sustained success in this dynamic market.

Discover the booming daily newsletter market! Explore its $19.56B (2025) valuation, projected growth, key players (CNN, BBC, The Daily Skimm), and regional trends. Learn how personalization and niche content drive this expanding industry.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

BBC Stock: A High-Growth Company with a Bright Future

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Discover the booming daily newsletter market! This analysis reveals a $12.9B market in 2025, growing at 6.1% CAGR, driven by personalized news & diverse subscription models. Explore key players, regional trends & future projections for the period 2019-2033.

An investigation found that coverage of the Russia-Ukraine war accounted for the majority of lead stories in several news brands in the United Kingdom from May to August 2023. A total of ** percent of lead stories from BBC News covered the Ukraine war as a topic, while it held a share of ** percent at the Telegraph. Likewise, the war was the leading topic for lead stories at Independent, Sky News, and The Times. However, the lead stories at the Daily Mail and the Mirror mostly covered Lucy Letby and Philip Schofield.

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.

Discover the latest market analysis on the Television Broadcasting Service industry. Explore key trends, drivers, and challenges shaping this dynamic sector, including the impact of streaming services and evolving consumer behavior. Projected growth, market segmentation, and key player analysis are included.

As of July 2025, the BBC, ITV, and Sky were the top three leading TV broadcasters in the United Kingdom (UK). In this regard, the BBC held an audience share of about ** percent. ITV and Sky had audience shares of over ** and ten percent, respectively. BBC One viewing BBC One was the most popular TV channel in the UK in 2024/2025, with about ** percent of the population using the service at least once a week. The audience spent on average ***** hours weekly watching the BBC’s leading channel.   BBC finances The BBC relies on the television license as its main means of funding. In 2025, the BBC generated *** million British pounds in revenue, most of which was attributed to the license fees paid by UK households. That same year, BBC One accounted for most of the BBC’s television programming spend, with costs exceeding *** billion British pounds.

The Free-to-air (FTA) television service market, currently valued at $377.2 million in 2025, is projected to experience robust growth, driven by increasing accessibility of digital platforms and the continued demand for free, readily available entertainment. The 6.6% CAGR signifies a consistent upward trajectory, indicating sustained market appeal. Key drivers include the expanding availability of FTA channels via digital terrestrial television (DTT) and satellite broadcasting, particularly in developing economies where subscription-based services remain less accessible. Technological advancements, like improved signal compression and increased bandwidth availability, are further fueling this growth. However, the market faces challenges from the rise of streaming services offering on-demand content and the increasing competition from low-cost subscription models. This competition necessitates FTA providers to continuously innovate and improve their content offerings, focusing on attracting and retaining viewers through high-quality programming and strategic partnerships. The dominance of established players like BBC, BT, Deutsche Telekom, and others, underscores the importance of brand recognition and established distribution networks. Furthermore, regulatory frameworks impacting broadcasting licenses and spectrum allocation influence market dynamics and growth potential. Regional variations in penetration rates and consumer preferences will shape the overall market landscape and the strategies employed by service providers. Future growth will heavily depend on adapting to the changing media consumption habits and integrating innovative technologies to enhance the viewer experience. The market segmentation, while not explicitly detailed, likely includes variations based on broadcasting technology (DTT, satellite), content genre (news, entertainment, sports), and geographic region. While precise regional breakdowns are unavailable, it's reasonable to assume significant variations exist, with developed markets potentially showing slower growth rates compared to developing economies where FTA penetration is still expanding. The forecast period of 2025-2033 provides ample opportunity for the market to mature and adapt to the evolving technological and consumer landscapes. Strategic alliances, content diversification, and effective marketing strategies will be critical for FTA providers to maintain their relevance and market share in the face of intensified competition.

The global television broadcasting service market is a dynamic and competitive landscape, exhibiting significant growth potential. While precise figures for market size and CAGR are unavailable, we can infer substantial growth based on industry trends and the involvement of major players like CBS Interactive, CANAL+ GROUP, BBC, AT&T, and A&E Television Networks. The market's expansion is fueled by several key drivers: increasing internet and mobile penetration, the rise of streaming services and on-demand content, and the growing adoption of advanced technologies like High Definition (HD) and Ultra High Definition (UHD) broadcasting. These trends are transforming consumer viewing habits, leading to a shift from traditional linear television towards a more diverse and personalized viewing experience. The market is segmented based on various factors like content type (news, sports, entertainment), distribution channels (cable, satellite, IPTV, streaming), and geographic regions. The competitive landscape is characterized by both established players and emerging new entrants, each vying for market share through innovative content strategies, technological advancements, and strategic partnerships. Despite challenges such as increasing production costs and regulatory hurdles, the market's long-term prospects remain strong, driven by ongoing technological innovation and evolving consumer preferences. The forecast period from 2025 to 2033 presents several opportunities for growth. The continued penetration of streaming platforms and the growth of smart TVs are expected to drive significant increases in viewership and revenue. Companies are strategically investing in original content and enhancing user experience through personalized recommendations and interactive features. Competition will remain fierce, necessitating a focus on differentiation through high-quality programming, unique content strategies, and advanced technological capabilities. Regional variations will also be notable, with differing adoption rates of new technologies and content preferences impacting market growth. Successful players will need to adapt quickly to changing consumer behavior and effectively leverage technological advancements to maintain a competitive edge in this rapidly evolving market.

Discover the booming Science App market! Explore key trends, growth projections (CAGR 15%), leading companies, and regional insights in this comprehensive market analysis. Learn how AR/VR, gamification, and personalized learning are shaping the future of science education and information access.

According to Cognitive Market Research, The Global Process Safety Services market size was USD 16.8 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 10.80% from 2023 to 2030. What are the Most Significant Opportunities and Factors Influencing the Process Safety Services Market?

Rising of Industrial Accidents Drives the Market Expansion

The increasing incidence of big and minor industrial accidents has heightened awareness about the necessity of process safety. Companies are investing in safety measures to avoid accidents, save downtime, and maintain a favorable public image because contemporary enterprises are more concerned with delivering maximum outcomes and manufacturing efficiency than with producing safely; the frequency of accidents and catastrophic incidents has grown over time. Several variables, each dependent on the context, commonly cause accidents.

For instance, according to data from BBC News, industrial accidents kill hundreds of individuals yearly and severely handicap thousands more. In 2021, a federal minister told parliament that over the previous five years, at least 6,500 employees had died while working in factories, ports, mines, and construction sites. Labor campaigners with years of experience in the sector told the BBC that the statistics may be higher because many events are not reported or documented.

(Source:www.bbc.com/news/world-asia-india-62631699)

Because Europe is a highly industrialized region that might be used as a case study to illustrate global industrialization, the statistics could imply a global trend in industrial accidents. Nonetheless, as workplace mishaps increase, the demand for a medium to reduce accidents grows more pressing. The respective factors will drive the process safety market.

Improving Factory Management and Product Efficiency is Becoming Increasingly Important

Process safety services help manage the integrity of hazardous material handling operational systems and processes. It can aid in detecting, comprehending, managing, and preventing process-related problems. If an event happens during the production process, it can have a negative impact on the manufacturing process and product efficiency. In an accident, the product may leak or be damaged. However, by implementing process safety solutions, product loss may be reduced, and industrial efficiency can be increased, leading to rapid growth in the process safety services market.

According to a Manufacturing Institute report, one of the Biggest Causes of supply chain disruptions is insufficient production planning, which leads to increased costs and delayed delivery. 74% of firms reported at least one supply chain interruption the previous year, with 39% directly attributing it to inadequate production planning.

(Source:www.deskera.com/blog/effective-production-planning-manufacturing/)

The Factors Are Limiting the Growth Of The Web Hosting Services Market

Budget allocations and a lack of competent labor Limit Market Growth

Among the key market restrictions are inadequate budget allocation mechanisms and a lack of competent labor. Labor skills are critical in guaranteeing the safety of any industrial process, regardless of its risks. As a result, a lack of trained labor may increase the number of accidents. Furthermore, small and medium-sized organizations' budgets for critical safety do not contain expenditures for precise and fast incident monitoring. As a result, the budget scope may not be able to handle information security, technology, and workplace health properly, resulting in competing goals and a lack of collaboration. As a result, there is a scarcity of experienced labor and a lack of budget allocation for safety process management in small to medium-sized businesses.

Impact of COVID-19 on the Process Safety Services Market

Most sectors throughout the world have been badly impacted in recent months. This is due to major interruptions in their separate manufacturing and supply-chain activities caused by different precautionary lockdowns and other limitations imposed by regulatory bodies throughout the world. Furthermore, consumer demand has reduced as individuals are now more focused on minimizing non-essential expenses from their separate budgets since the general economic state of most people has been negatively impacted by this pandemic.

The COVID-19 pandemic and global...

Using all stocks listed in the Tokyo Stock Exchange 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.

The global Television Broadcasting Service market is booming, reaching an estimated $750 billion in 2025 and projected to grow at a 7% CAGR through 2033. Discover key trends, challenges, and leading players shaping this dynamic industry, including streaming, 4K, and digital broadcasting.

The rise of online streaming platforms has revolutionised the media distribution industry. A 2024 Eurostat report reveals that 49.6% of EU respondents used an online streaming service in the preceding three months, a rise from 23% in 2018. This shift has disrupted other distribution methods, including DVDs, downloads and broadcast channels. The advent of video-on-demand services has empowered major film and TV studios to establish their own direct-to-customer platforms (like Disney+ and BritBox), therefore gaining more control over content distribution. Streaming platforms have also created new opportunities for distributors to exploit older films and programmes, with little to no added costs, boosting profitability. Industry revenue is set to rise at a compound annual rate of 1.5% over the five years through 2025 to €15.7 billion. Cinemas are grappling with reduced exclusive periods for new releases. The UK-based chain Cineworld (operating in Poland and Czechia) has had its exclusivity window with Universal slashed from 90 to 45 days, which has become the new norm for the industry. Equally disruptive has been the strike action in the US by the Writers Guild of America (WGA) and Screen Actors Guild – American Federation of Television and Radio Artists (SAG-AFTRA), which lasted from July 2023 to November 2023. This caused a slowdown in new film and TV programme releases through 2024 and slowed the industry's growth. In 2025, industry revenue is projected to grow by 1.1%, supported by the release of previously delayed releases. There are indications of a strategic shift in sports broadcasting over the coming years. Following the model of production companies like Disney and Paramount, major sports leagues are venturing into direct distribution through subscription services for fans, as seen with Formula 1's launch of F1 TV. The market is set to become increasingly digitalised, with less and less prominence for traditional linear TV. The trend indicates a future where distribution rights for premium TV shows could become a more heated battleground. Distributor revenue is forecast to grow at a compound annual rate of 5.5% over the five years through 2030 to reach €20.6 billion.