A survey held in February 2022 revealed that white and Hispanic adults were most likely to read newspapers every day, with 12 percent reporting daily consumption. However, most consumers from all ethnic backgrounds said that they never used newspapers for news.

A survey held in February 2022 revealed that most consumers never use newspapers as a source of news, and only 21 percent of adults aged 65 or above (those who engage with newspapers the most) reported reading newspapers every day. Newspapers are less popular as a news source than radio, and are also among the least used daily news sources among adults aged 18 years or older.

The summary statistics by North American Industry Classification System (NAICS 51111) for Newspaper publishers, which include all members under Industry Summary statistics, every two years (dollars) for five years of data.

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.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of newspaper publishers (NAICS 51111), annual, for five years of data.

Whilst newspapers in general are no longer an especially popular source of news for the American public, engagement varies according to the type of publication. Local newspapers are read more frequently than nationals, with over 10 percent of U.S. adults responding to an August 2022 survey saying they read local papers every day.

Local vs. national news: which do readers prefer?

A survey held in 2022 found that although trust in news dropped since 2016, local news is still considered more trustworthy than national news. Indeed, the most recently available data shows that only a small percentage of U.S. adults trusted national news to report the news without bias, at 14 percent – less than half the share who had faith in local news to report in a nonpartisan manner. Local news was also considered more reliable for information about voting, getting the facts right, and giving consumers news they can use.

Waning trust in news

Trust in the media to report accurately and fairly is shaky. In 2022, almost 70 percent of U.S. adults had little to no trust in the news media, up by around 20 percent since 2000. Audiences unsure whether they can rely on news outlets to deliver the facts can suffer from news fatigue. Indeed, almost a third of consumers worldwide avoid news due to bias or finding it untrustworthy.

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Newspaper Publishing Market Size 2025-2029

The newspaper publishing market size is forecast to increase by USD 4.12 billion, at a CAGR of 1.1% between 2024 and 2029.

The market is witnessing contrasting trends, with the increasing demand for newspapers in developing countries counterbalanced by the declining circulation of printed newspapers in mature markets. This dichotomy presents both opportunities and challenges for market participants. On the one hand, the growing adoption of subscription models, fueled by digital advancements, offers a potential revenue stream for publishers in both developed and developing economies. In developing countries, the expanding middle class and rising literacy rates are driving demand for news content, creating a fertile ground for newspaper growth. However, the declining circulation of printed newspapers in mature markets poses a significant challenge.
This trend is primarily attributed to the increasing preference for digital news sources and the convenience they offer. To navigate this challenge, publishers must adapt by focusing on their unique value proposition, such as in-depth analysis, investigative journalism, and local coverage, which cannot be easily replicated in digital formats. Additionally, they must explore innovative business models, such as paywalls and membership programs, to monetize their digital offerings. In conclusion, the market is undergoing a transformation, shaped by the contrasting trends of growing demand in developing countries and declining circulation in mature markets. To succeed, publishers must effectively leverage digital technologies while maintaining their unique value proposition and exploring innovative business models.

What will be the Size of the Newspaper Publishing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic market activities unfolding across various sectors. Circulation management and SEO optimization are crucial aspects of the industry, ensuring accessibility and discoverability of editorial content for diverse audiences. Paper quality and printing technology advancements continue to shape the landscape, with user interface (UI) and image resolution playing significant roles in enhancing reader experience. Public discourse is increasingly influenced by digital publishing, as news agencies embrace multimedia content and video journalism. Freemium models and subscription tiers are transforming revenue streams, while ink technology innovations optimize print production. Media convergence and information literacy are vital in navigating the complexities of news consumption trends.

News innovation and emerging media are driving new opportunities for content creators, with media literacy and audience engagement becoming essential components of the user experience (UX). Page layout and advertising revenue are being reimagined, as media bias and economic impact are subjects of ongoing debate. Civic engagement and cultural impact are at the forefront of news reporting, with online news platforms and audience targeting shaping public discourse. Content personalization and content licensing are key strategies for media companies, as they navigate the evolving media landscape. Press releases and public relations remain essential tools for communication, while investigative journalism continues to uncover truth and hold power to account.

How is this Newspaper Publishing Industry segmented?

The newspaper publishing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Platform

  Traditional
  Digital


Type

  General news
  Specific news


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

.

By Platform Insights

The traditional segment is estimated to witness significant growth during the forecast period.

In the dynamic landscape of newspaper publishing, the traditional segment continues to hold significance with its print format, offering a tangible and immersive reading experience. Newspapers in this category are produced on paper and disseminated through various distribution channels, including newsstands, retail outlets, and subscriptions. The print medium's appeal lies in its harmonious blend of editorial content, multimedia elements, and advertisements, which cater to diverse reader preferences. The integration of technology in the publishing industry has brought about transformative changes. SEO optimization and digital literacy have become essential

This is the Newspaper collection of The National Library of The Netherlands (KB). "The KB promotes the visibility, usability and longevity of the Dutch Library Collection, defined as the collective holdings of all publicly funded libraries in the Netherlands" (KB mission statement). The following figures give answers to common questions about the composition of this collection: What part of the collection is included in the Media Suite? The Media Suite gives access to the KB's newspaper "basic collection". "The basic collection contains approximately 11 million newspaper pages from the Netherlands, the Dutch East Indies, the Antilles, America and Surinam from 1618 to 1995. This is about 15% of all newspapers that have ever been published in the Netherlands" (KB "wat zit er in Delpher?"). What years does the archive cover? The KB newspaper basic collection includes newspapers from 1618 to 1995. The Media Suite harvested all the items available and integrated them into the Media Suite in May 2018. Figure 1: Number of newspaper articles in the collection over time How and how often is the data updated in the Media Suite? The collection's metadata and their OCR enrichments are made available to the CLARIAH Media Suite by the KB via their harvesting end-point (OAI-PMH). The latest update to the Media Suite's data from EYE Jean Desmet film collection has been done in May, 2018. What kind of media is included? The collection includes newspaper content of different types: articles, advertisements, illustrations with captions, and obituaries). Figure 2: Types of content in the KB newspaper basic collection What portion of the collection is digital? A big part of the KB newspaper basic collection is digital. The KB is progressively digitizing more newspapers (KB "wat zit er in Delpher?"). Via the Media Suite, users can access the digitized newspapers in the KB Delpher search engine. Does the collection include enrichments? This collection has undergone object character recognition (OCR) processes. The OCR output is available via the Media Suite for searching purposes only. To read the OCR, users are redirected to the KB Delpher search engine. Figure 3: Proportion of OCR-ed content in the KB newspaper basic collection Where to find more information? KB newspaper collection site (in English) (in Dutch) KB Delpher (newspapers) search engine KB information about "what is available via Delpher?"

The breakdown of total sales by North American Industry Classification System (NAICS 51111) for Newspaper publishers which include all members under Sales, every two years (percent) for five years of data.

Introduction

Fake News Statistics: Fake news has become a major problem in today's digital age in recent years. It spreads quickly through social media and other online platforms, often misleading people. Fake news spreads faster than real news, thus creating confusion and mistrust among global people. In 2024, current statistics and trends reveal that many people have encountered fake news online, and many have shared it unknowingly.

Fake news affects public opinion, political decisions, and even relationships. This article helps us understand how widespread it is and helps us address several issues more effectively. Raising awareness and encouraging critical thinking can reduce its impact, in which reliable statistics and research are essential for uncovering the truth and stopping the spread of false information. Everyone plays a role in combating fake news.

A report on local news in the United States revealed that 3,200 weekly publications closed or merged with other papers between 2004 and 2024, with the number of non-daily papers falling from over 7.4 thousand to less than 4.6 thousand in that period. Dailies also saw a decline, with just over 1,000 in publication in 2024. Whilst this is evidently bad news for papers now out of print, the loss of local news also impacts communities reliant upon it. News deserts: the state of play News deserts are counties without access to or with very limited access to local news. As the number of local newspapers in publication continues to fall, many smaller, rural communities are left without coverage of their immediate area. Although some companies are attempting to preserve local news, many outlets have been merged, acquired by investors outside the industry, or have dissolved completely. Impact on the consumer Local news is overall more trusted than national news, and not only for its impartiality. Looking at U.S. opinions of national news, over 70 percent believe that national news has the resources to report the news accurately, however only around a third feel that national news operates in the interests of its readers or can be relied upon for important information. Without local news outlets, audiences in non-urban areas without relevant coverage may choose not to engage with news at all if they feel their only options are those they do not trust and do not represent them – a bad sign for publishers given that news avoidance is already on the rise.

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.

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The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of newspaper publishers (NAICS 51111), annual, for five years of data.

Statistics illustrates consumption, production, prices, and trade of Newspapers, Journals and Periodicals in New Caledonia from 2007 to 2024.

Largest Bengali Newspaper Dataset for news type classification.

Abstract:

Knowledge is central to human and scientific developments. Natural Language Processing (NLP) allows automated analysis and creation of knowledge. Data is a crucial NLP and machine learning ingredient. The scarcity of open datasets is a well-known problem in machine and deep learning research. This is very much the case for textual NLP datasets in English and other major world languages. For the Bangla language, the situation is even more challenging and the number of large datasets for NLP research is practically nil. We hereby present Potrika, a large single-label Bangla news article textual dataset curated for NLP research from six popular online news portals in Bangladesh (Jugantor, Jaijaidin, Ittefaq, Kaler Kontho, Inqilab, and Somoyer Alo) for the period 2014-2020. The articles are classified into eight distinct categories (National, Sports, Inter-national, Entertainment, Economy, Education, Politics, and Science & Technology) providing five attributes (News Article, Category, Headline, Publication Date, and newspaper Source). The raw dataset contains 185.51 million words and 12.57 million sentences contained in 664,880 news articles. Moreover, using NLP augmentation techniques, we create from the raw (unbalanced) dataset another (balanced) dataset comprising 320,000 news articles with 40,000 articles in each of the eight news categories. Potrika contains both the datasets (raw and balanced) to suit a wide range of NLP research. By far, to the best of our knowledge, Potrika is the largest and the most extensive dataset for news classification.

cite: @misc{ahmad2022potrika, title={Potrika: Raw and Balanced Newspaper Datasets in the Bangla Language with Eight Topics and Five Attributes}, author={Istiak Ahmad and Fahad AlQurashi and Rashid Mehmood}, year={2022}, eprint={2210.09389}, archivePrefix={arXiv}, primaryClass={cs.CL} }

Dataset Source - Here

Statistics illustrates consumption, production, prices, and trade of Newspapers, Journals and Periodicals in Mayotte from 2007 to 2024.

Statistics illustrates consumption, production, prices, and trade of Newspapers, Journals and Periodicals in Lithuania from 2007 to 2024.

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.

Statistics illustrates consumption, production, prices, and trade of Newspapers, Journals and Periodicals in Andorra from 2007 to 2024.

Malaysia Average Daily Newspaper Sales data was reported at 1,773,326.000 Unit in Feb 2018. This records a decrease from the previous number of 1,814,204.000 Unit for Jan 2018. Malaysia Average Daily Newspaper Sales data is updated monthly, averaging 3,380,087.000 Unit from Jan 1989 (Median) to Feb 2018, with 350 observations. The data reached an all-time high of 4,151,416.000 Unit in Mar 2004 and a record low of 1,773,326.000 Unit in Feb 2018. Malaysia Average Daily Newspaper Sales data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.H022: Average Daily Newspaper Sales.