According to surveys held in 2015 and 2025, the share of respondents in the United States who said they were very or extremely interested in news dropped from 67 percent to 51 percent in that time period. Interest in news in the United Kingdom also fell sharply in that time period, and news fatigue and avoidance continue to be growing issues among audiences around the world.

This statistic shows data on the interest in various types of news worldwide by gender. During a survey carried out in early 2016, ** percent of male respondents stated that business news was important to them.

Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Interest Rates (EMVMACROINTEREST) from Jan 1985 to Oct 2025 about volatility, uncertainty, equity, interest rate, interest, rate, and USA.

The Fox News Dataset is a comprehensive collection of over 1 million news articles, offering an unparalleled resource for analyzing media narratives, public discourse, and political trends. Covering articles up to the year 2023, this dataset is a treasure trove for researchers, analysts, and businesses interested in gaining deeper insights into the topics and trends covered by Fox News.

Key Features of the Fox News Dataset

• Extensive Coverage: Contains more than 1 million articles spanning various topics and events up to 2023.
• Research-Ready: Perfect for text classification, natural language processing (NLP), and other research purposes.
• Format: Provided in CSV format for seamless integration into analytical and research tools.

Why Use This Dataset?

This large dataset is ideal for:

• Text Classification: Develop machine learning models to classify and categorize news content.
• Natural Language Processing (NLP): Conduct sentiment analysis, keyword extraction, or topic modeling.
• Media and Political Research: Analyze media narratives, public opinion, and political trends reflected in Fox News articles.
• Trend Analysis: Identify shifts in public discourse and media focus over time.

Explore More News Datasets

Discover additional resources for your research needs by visiting our news dataset collection. These datasets are tailored to support diverse analytical applications, including sentiment analysis and trend modeling.

The Fox News Dataset is a must-have for anyone interested in exploring large-scale media data and leveraging it for advanced analysis. Ready to dive into this wealth of information? Download the dataset now in CSV format and start uncovering the stories behind the headlines.

The benchmark interest rate in the United States was last recorded at 4 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

News audiences in the United States were only marginally more interested in science news in 2021, according to the most recent data, with ** percent of respondents to a survey saying they were very interested in the topic, an increase of just *** percent compared to four years earlier. That being said, more consumers expressed at least some interest in reading news about science than those who did not.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

1997 May News Interest Index

The benchmark interest rate in Canada was last recorded at 2.25 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Sweden was last recorded at 1.75 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This survey investigates respondents' opinions concerning a variety of recent issues covered by news media, such as: the 2004 presidential election, the personal attributes and actions of John Kerry and President George W. Bush, news sources for the election, effects of recent tax cuts, and a possible Constitutional amendment on gay marriage. The survey also asks the extent to which respondents have followed recent topics in news media (i.e., Mel Gibson's film, Martha Stewart, Iraq, bombings in Madrid, etc.).

Overview and Description

The dataset bbc_news.csv consists of 35,860 rows and 5 columns. The data spans from 07 March 2022 to 03 July 2024. Here's an overview of each column and the dataset's characteristics:

Columns:

1. title: The title of the news article.

2. pubDate: The publication date and time of the news article.

3. guid: A globally unique identifier for the news article, typically a URL.

4. link: The URL link to the full news article.

5. description: A brief description or summary of the news article.

Collection Method

The dataset was likely collected using web scraping or an API provided by BBC News. The data includes titles, publication dates, GUIDs, URLs, and descriptions of news articles published on the BBC News website over a period from March 2022 to July 2024.

Acknowledgments

We acknowledge the BBC News website as the primary source of this dataset. The collection method might have involved utilizing publicly available information on their RSS feeds or APIs, making it possible to compile the data systematically.

Inspiration

This dataset is inspired by the need to analyze news trends, sentiment analysis, and the impact of specific events over time. Researchers, data scientists, and journalists might find this data useful for studying media coverage, news propagation, and public interest in various topics.

Pew Research Center – January 2012 News Interest Index (Omnibus Survey) Conducted January 12–15, 2012 (N=1,008), this weekly omnibus survey captures public interest in current news events using a nationally representative dual-frame RDD sample of landline and cell phone users. The dataset includes demographic variables aligned with the questionnaire and uses respondent-reported ZIP codes for geographic coding. Weighting is applied to ensure accurate representation across phone types.

Reproduction files. Visit https://dataone.org/datasets/sha256%3A6ab3f8dcd1b4081476e206034d1bf98584b0bcfa98f9967c6349ad1ad81dd5fc for complete metadata about this dataset.

A poll conducted on August 7-10, 1997 sponsored by the Pew Research Center for the People & the Press. Adults from across the United States were asked their opinions regarding Bill Clinton's tenure as President.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31095679. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

In recent years, data visualization has been gaining space in journalism, not only in the specialized press, but also in the general press. The objective of this article is to analyze whether there are differences between the impact of receiving a traditional news item and that of a news item with data visualization, in terms of interest, comprehension and attitudes toward data visualization. For this, a study (N = 700) was carried out with two experimental conditions (traditional news vs. news with data visualization), using scientific and health communication news. Moderated mediation analysis were performed to understand how data visualization affects factors such as attitude, or interest, and affects public comprehension. The results showed significant indirect effects that indicate that reading a data visualization news item increases comprehension and, with it, positive attitudes toward data visualization. Variables related to comprehension and interest have been found to have a significant impact on attitudes toward data viewing, opening new lines of research to delve into the factors that affect data-driven news performance.

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

A survey measuring levels of engagement with presidential elections in the United States found that engagement was overall higher in 2016 than for later elections. In three separate months in that year, more than 70 percent of respondents said they were following election news very or fairly closely. In April 2024, under 60 percent were paying close attention to updates, however engagement tends to fluctuate according to the the stage of elections and their respective campaigns. This is why, five months later, soon before the elections, the rate of those following news closely grew to 69 percent.

Market research data and analysis for The Fed’s Interest Rate Cut is Good News for Singapore Homeowners – Here’s Why

Pew Research Center – January 2012 News Interest Index (Omnibus Survey) Conducted January 26–29, 2012, this nationally representative survey (N=1,006) captures public interest in current events using a dual-frame RDD sample of landline and cell phone users. Weighting adjustments ensure accurate representation across phone types. Geographic variables are derived from self-reported ZIP codes to improve precision, especially for mobile-only respondents. Privacy protections include removal of ZIP codes, counties, and phone numbers from the public dataset.