During a 2025 survey, ** percent of respondents from Nigeria stated that they used social media as a source of news. In comparison, just ** percent of Japanese respondents said the same. Large portions of social media users around the world admit that they do not trust social platforms either as media sources or as a way to get news, and yet they continue to access such networks on a daily basis. Social media: trust and consumption Despite the majority of adults surveyed in each country reporting that they used social networks to keep up to date with news and current affairs, a 2018 study showed that social media is the least trusted news source in the world. Less than ** percent of adults in Europe considered social networks to be trustworthy in this respect, yet more than ** percent of adults in Portugal, Poland, Romania, Hungary, Bulgaria, Slovakia and Croatia said that they got their news on social media. What is clear is that we live in an era where social media is such an enormous part of daily life that consumers will still use it in spite of their doubts or reservations. Concerns about fake news and propaganda on social media have not stopped billions of users accessing their favorite networks on a daily basis. Most Millennials in the United States use social media for news every day, and younger consumers in European countries are much more likely to use social networks for national political news than their older peers. Like it or not, reading news on social is fast becoming the norm for younger generations, and this form of news consumption will likely increase further regardless of whether consumers fully trust their chosen network or not.

In May 2025, a survey asked U.S. adults how they feel while consuming news. The results indicate that a majority feel informed, with 53 percent saying that news generally makes them feel this way. At the same time, 43 percent reported feeling angry, and 32 percent said they feel depressed when consuming news. In contrast, only 16 percent described feeling hopeful. These findings highlight that while staying informed is a major benefit of news consumption, negative emotional reactions—such as anger and depression—are also very common among Americans.

In 2025, Facebook remained the most-used social platform for news in the United States, with ** percent of respondents reporting they accessed news on it. YouTube followed closely at ** percent, recording a slight increase from the previous year. X (formerly Twitter) saw the most notable growth, rising by ***** percent to ** percent.

The internet and social media have led to a major problem—fake news. Fake news is false information presented as real news, often with the goal of tricking or influencing people. It's difficult to identify fake news because it can look very similar to real news. The Fake News detection dataset deals with the problem indirectly by using tabular summary statistics about each news article to attempt to predict whether the article is real or fake. This dataset is in a tabular format and contains features such as word count, sentence length, unique words, average word length, and a label indicating whether the article is fake or real.

Stay ahead with our comprehensive News Dataset, designed for businesses, analysts, and researchers to track global events, monitor media trends, and extract valuable insights from news sources worldwide.

Dataset Features

News Articles: Access structured news data, including headlines, summaries, full articles, publication dates, and source details. Ideal for media monitoring and sentiment analysis. Publisher & Source Information: Extract details about news publishers, including domain, region, and credibility indicators. Sentiment & Topic Classification: Analyze news sentiment, categorize articles by topic, and track emerging trends in real time. Historical & Real-Time Data: Retrieve historical archives or access continuously updated news feeds for up-to-date insights.

Customizable Subsets for Specific Needs Our News Dataset is fully customizable, allowing you to filter data based on publication date, region, topic, sentiment, or specific news sources. Whether you need broad coverage for trend analysis or focused data for competitive intelligence, we tailor the dataset to your needs.

Popular Use Cases

Media Monitoring & Reputation Management: Track brand mentions, analyze media coverage, and assess public sentiment. Market & Competitive Intelligence: Monitor industry trends, competitor activity, and emerging market opportunities. AI & Machine Learning Training: Use structured news data to train AI models for sentiment analysis, topic classification, and predictive analytics. Financial & Investment Research: Analyze news impact on stock markets, commodities, and economic indicators. Policy & Risk Analysis: Track regulatory changes, geopolitical events, and crisis developments in real time.

Whether you're analyzing market trends, monitoring brand reputation, or training AI models, our News Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

This dataset contains the headlines generated by the top 15 UK news websites over a time span of roughly 20 days. The headlines were scraped from the sites' respective RSS feeds.

• Time frame: 2023-02-13 to 2023-03-05

• Headlines were scraped in 12 hour intervals

• The dataset consists of two files:

  • The scraped data consisting of the headlines
  • Auxiliary data containing additional information for each of the news outlets

• Identification of the top 15 news websites in the UK: statista.com

• Data dictionary for scraped data:

  • website: BBC, Sun, Mirror, Daily Mail, Independent, Telegraph, Guardian, Manchester Evening News, Sky News, Metro, Daily Express, Times, Liverpool Echo, Birmingham Live, Evening Standard.
  • timestamp scraped: Date and time when a particular headline was scraped.
  • headline: Headline of news article.

• Data dictionary for compiled auxiliary data:

  • website: BBC, Sun, Mirror, Daily Mail, Independent, Telegraph, Guardian, Manchester Evening News, Sky News, Metro, Daily Express, Times, Liverpool Echo, Birmingham Live, Evening Standard.
  • RSS URL: URL to RSS feed for each of the above websites.
  • visitors unique monthly: In millions; taken from statista.com.
  • ownership: Entity owning a particular news outlet and thus the associated website. Source: General internet search.
  • political bias: left-center, center, right-center, right. Source: General internet search.
  • party support GE 2019: None, Conservative, Labour, Unknown. Source: General internet search. GE = general election.
  • journalism style: quality, tabloid. Source: General internet search.

Image credit: https://unsplash.com/@siora18

Techsalerator’s News Event Data in Asia offers a detailed and expansive dataset designed to provide businesses, analysts, journalists, and researchers with comprehensive insights into significant news events across the Asian continent. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable perspectives on regional developments, economic shifts, political changes, and cultural occurrences.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources such as company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse array of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring users have access to the latest news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and regions within Asia. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into the evolution of news events. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Asian Countries and Territories Covered: Central Asia: Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia: China Hong Kong (Special Administrative Region of China) Japan Mongolia North Korea South Korea Taiwan South Asia: Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southeast Asia: Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam Western Asia (Middle East): Armenia Azerbaijan Bahrain Cyprus Georgia Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey (partly in Europe, but often included in Asia contextually) United Arab Emirates Yemen Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Asia, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Asian news and events. Techsalerator’s News Event Data in Asia is a crucial resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

According to data from February 2025, Facebook was the most popular social network for news access in the United Kingdom, with ** percent of respondents using the service. YouTube and X (formerly Twitter) ranked second and third, with ** and ** percent of users respectively using the networks for news content.

📚 Fake News Detection Dataset

Overview

This dataset is designed for practicing fake news detection using machine learning and natural language processing (NLP) techniques. It includes a rich collection of 20,000 news articles, carefully generated to simulate real-world data scenarios. Each record contains metadata about the article and a label indicating whether the news is real or fake.

The dataset also intentionally includes around 5% missing values in some fields to simulate the challenges of handling incomplete data in real-life projects.

Columns Description

title A short headline summarizing the article (around 6 words). text The body of the news article (200–300 words on average). date The publication date of the article, randomly selected over the past 3 years. source The media source that published the article (e.g., BBC, CNN, Al Jazeera). May contain missing values (~5%). author The author's full name. Some entries are missing (~5%) to simulate real-world incomplete data. category The general category of the article (e.g., Politics, Health, Sports, Technology). label The target label: real or fake news.

Why Use This Dataset?

Fake News Detection Practice: Perfect for binary classification tasks.

NLP Preprocessing: Allows users to practice text cleaning, tokenization, vectorization, etc.

Handling Missing Data: Some fields are incomplete to simulate real-world data challenges.

Feature Engineering: Encourages creating new features from text and metadata.

Balanced Labels: Realistic distribution of real and fake news for fair model training.

Potential Use Cases

Building and evaluating text classification models (e.g., Logistic Regression, Random Forests, XGBoost).

Practicing NLP techniques like TF-IDF, Word2Vec, BERT embeddings.

Performing exploratory data analysis (EDA) on news data.

Developing pipelines for dealing with missing values and feature extraction.

A Note on Data Quality

This dataset has been synthetically generated to closely resemble real news articles. The diversity in titles, text, sources, and categories ensures that models trained on this dataset can generalize well to unseen, real-world data. However, since it is synthetic, it should not be used for production models or decision-making without careful validation.

File Info

Filename: fake_news_dataset.csv

Size: 20,000 rows × 7 columns

Missing Data: ~5% missing values in the source and author columns.

Percentage of persons aged 15 years and over by trust in media and main source of news, by gender and other selected sociodemographic characteristics.

This dataset provides comprehensive access to news articles and headlines from Google News in real-time. Get top news globally or by specific topics, with support for geographic targeting and custom search queries. Perfect for applications requiring news monitoring, media analysis, and content aggregation. The dataset is delivered in a JSON format via REST API.

**Please access the latest verison of data that is here https://huggingface.co/datasets/shainar/BEAD **

email at shaina.raza@torontomu.ca for usage of data

  Please cite us if you use it

@article{raza2024beads, title={BEADs: Bias Evaluation Across Domains}, author={Raza, Shaina and Rahman, Mizanur and Zhang, Michael R}, journal={arXiv preprint arXiv:2406.04220}, year={2024} }

  license: cc-by-nc-4.0

language: - en pretty_name: Navigating News… See the full description on the dataset page: https://huggingface.co/datasets/newsmediabias/news-bias-full-data.

Techsalerator’s News Event Data in Latin America offers a detailed and extensive dataset designed to provide businesses, analysts, journalists, and researchers with an in-depth view of significant news events across the Latin American region. This dataset captures and categorizes key events reported from a wide array of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable insights into regional developments, economic changes, political shifts, and cultural events.

Key Features of the Dataset: Comprehensive Coverage:

The dataset aggregates news events from numerous sources such as company press releases, industry news outlets, blogs, PR sites, and traditional news media. This broad coverage ensures a wide range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most recent events, ensuring users have access to the latest news and can stay informed about current developments. Geographic Segmentation:

Events are tagged with their respective countries and regions within Latin America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps in understanding the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Latin America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Latin American news and events. Techsalerator’s News Event Data in Latin America is a crucial resource for accessing and analyzing significant news events across the region. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Description:

The "Global News Articles" dataset was acquired through the NewsAPI, a powerful tool that provides access to a vast collection of news articles from various sources around the world. The dataset contains a curated selection of news articles covering a wide range of topics, including politics, business, technology, health, and more.

Context:

In today's fast-paced world, staying informed about global events is essential. This dataset aims to provide researchers, journalists, and analysts with a comprehensive source of news articles for analysis and insight generation. By leveraging the NewsAPI, we have gathered a diverse set of articles to facilitate research, trend analysis, sentiment analysis, and other data-driven tasks.

Inspiration:

The inspiration behind creating this dataset stems from the growing need for reliable and easily accessible news data for analytical purposes. With the proliferation of digital media and the abundance of news sources available online, there is a wealth of information waiting to be tapped into. This dataset serves as a valuable resource for anyone interested in studying trends, patterns, and developments in the global news landscape.

Sources:

The primary source of the data is the NewsAPI, which aggregates news articles from thousands of sources worldwide. The dataset includes articles from reputable news outlets, blogs, and online publications. Only the title, content, and headlines features have been extracted from the articles to provide concise yet informative data for analysis.

Acquisition of Data through NewsAPI:

• Accessing NewsAPI: The data acquisition process begins with accessing the NewsAPI platform, which provides developers with access to real-time and historical news articles.
• Querying for Articles: Using predefined search criteria or custom queries, we retrieve a diverse set of news articles covering various topics and regions.
• Extracting Features: From each article, we extract essential features such as the title, content, and headlines to capture the main points and key information.
• Compilation of Dataset: The data is compiled into a structured dataset, ready for exploration and analysis by researchers and analysts.

By leveraging the capabilities of NewsAPI, we have curated a valuable dataset that provides insights into global news trends, enabling informed decision-making and analysis in diverse fields.

News release produced by the Office for National Statistics (ONS)

Source agency: Office for National Statistics

Designation: Supporting material

Language: English

Alternative title: Media

Business Context

The advent of e-news, or electronic news, portals has offered us a great opportunity to quickly get updates on the day-to-day events occurring globally. The information on these portals is retrieved electronically from online databases, processed using a variety of software, and then transmitted to the users. There are multiple advantages of transmitting new electronically, like faster access to the content and the ability to utilize different technologies such as audio, graphics, video, and other interactive elements that are either not being used or aren’t common yet in traditional newspapers.

E-news Express, an online news portal, aims to expand its business by acquiring new subscribers. With every visitor to the website taking certain actions based on their interest, the company plans to analyze these actions to understand user interests and determine how to drive better engagement. The executives at E-news Express are of the opinion that there has been a decline in new monthly subscribers compared to the past year because the current webpage is not designed well enough in terms of the outline & recommended content to keep customers engaged long enough to make a decision to subscribe.

[Companies often analyze user responses to two variants of a product to decide which of the two variants is more effective. This experimental technique, known as A/B testing, is used to determine whether a new feature attracts users based on a chosen metric.]

Objective

The design team of the company has researched and created a new landing page that has a new outline & more relevant content shown compared to the old page. In order to test the effectiveness of the new landing page in gathering new subscribers, the Data Science team conducted an experiment by randomly selecting 100 users and dividing them equally into two groups. The existing landing page was served to the first group (control group) and the new landing page to the second group (treatment group). Data regarding the interaction of users in both groups with the two versions of the landing page was collected. Being a data scientist in E-news Express, you have been asked to explore the data and perform a statistical analysis (at a significance level of 5%) to determine the effectiveness of the new landing page in gathering new subscribers for the news portal by answering the following questions:

Do the users spend more time on the new landing page than on the existing landing page? Is the conversion rate (the proportion of users who visit the landing page and get converted) for the new page greater than the conversion rate for the old page? Does the converted status depend on the preferred language? Is the time spent on the new page the same for the different language users?

Data Dictionary

The data contains information regarding the interaction of users in both groups with the two versions of the landing page.

user_id - Unique user ID of the person visiting the website group - Whether the user belongs to the first group (control) or the second group (treatment) landing_page - Whether the landing page is new or old time_spent_on_the_page - Time (in minutes) spent by the user on the landing page converted - Whether the user gets converted to a subscriber of the news portal or not language_preferred - Language chosen by the user to view the landing page

Techsalerator’s News Event Data in North America offers a comprehensive and detailed dataset designed to provide businesses, analysts, journalists, and researchers with a thorough view of significant news events across North America. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, providing valuable insights into regional developments, economic shifts, political changes, and cultural events.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide array of sources, including company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types such as business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring that users have access to up-to-date news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and territories within North America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and conduct comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. North American Countries and Territories Covered: Countries: Canada Mexico United States Territories: American Samoa (U.S. territory) French Polynesia (French overseas collectivity; included for regional relevance) Guam (U.S. territory) New Caledonia (French special collectivity; included for regional relevance) Northern Mariana Islands (U.S. territory) Puerto Rico (U.S. territory) Saint Pierre and Miquelon (French overseas territory; geographically close to North America and included for regional comprehensiveness) Wallis and Futuna (French overseas collectivity; included for regional relevance) Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across North America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to North American news and events. Techsalerator’s News Event Data in North America is a crucial resource for accessing and analyzing significant news events across the continent. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Get access to a comprehensive and structured dataset of BBC News articles, freshly crawled and compiled in February 2023. This collection includes 1 million records from one of the world’s most trusted news organizations — perfect for training NLP models, sentiment analysis, and trend detection across global topics.

💾 Format: CSV (available in ZIP archive)

📢 Status: Published and available for immediate access

Use Cases

• Train language models to summarize or categorize news

• Detect media bias and compare narrative framing

• Conduct research in journalism, politics, and public sentiment

• Enrich news aggregation platforms with clean metadata

• Analyze content distribution across categories (e.g. health, politics, tech)

This dataset ensures reliable and high-quality information sourced from a globally respected outlet. The format is optimized for quick ingestion into your pipelines — with clean text, timestamps, image links, and more.

Need a filtered dataset or want this refreshed for a later date? We offer on-demand news scraping as well.

👉 Request access or sample now

Comprehensive YouTube channel statistics for Some More News, featuring 940,000 subscribers and 199,020,238 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the News-&-Politics category and is based in US. Track 557 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Social media was by far the most popular news platform among 18 to 34-year-olds in the United States, with 47 percent of respondents to a survey held in August 2022 saying that they used social networks for news on a daily basis. By comparison, adults over 65 years old mostly used network news to keep up to date.

The decline of newspapers In the past, the reasons to regularly go out and purchase a print newspaper were many. Used not only for news but also apartment hunting, entertainment, and job searches (among other things), newspapers once served multiple purposes. This is no longer the case, with first television and then the internet taking care of consumer needs once covered by printed papers. Indeed, the paid circulation of daily weekday newspapers in the United States has fallen dramatically since the 1980s with no sign of future improvement.

News consumption habits

A survey on news consumption by gender found that 50 percent of women use either online-only news sites or social media for news each day, and 51 percent of male respondents said the same. Social media was by far the most used daily news platform among U.S. Millennials, and the same was true of Gen Z. One appeal of online news is that it often comes at no cost to the consumer. Paying for news found via digital outlets is not yet commonplace in the United States, with only 21 percent of U.S. consumers responding to a study held in early 2021 reporting having paid for online news content in the last year.