The Cline Center Global News Index is a searchable database of textual features extracted from millions of news stories, specifically designed to provide comprehensive coverage of events around the world. In addition to searching documents for keywords, users can query metadata and features such as named entities extracted using Natural Language Processing (NLP) methods and variables that measure sentiment and emotional valence. Archer is a web application purpose-built by the Cline Center to enable researchers to access data from the Global News Index. Archer provides a user-friendly interface for querying the Global News Index (with the back-end indexing still handled by Solr). By default, queries are built using icons and drop-down menus. More technically-savvy users can use Lucene/Solr query syntax via a ‘raw query’ option. Archer allows users to save and iterate on their queries, and to visualize faceted query results, which can be helpful for users as they refine their queries. Additional Resources: - Access to Archer and the Global News Index is limited to account-holders. If you are interested in signing up for an account, please fill out the Archer Access Request Form so we can determine if you are eligible for access or not. - Current users who would like to provide feedback, such as reporting a bug or requesting a feature, can fill out the Archer User Feedback Form. - The Cline Center sends out periodic email newsletters to the Archer Users Group. Please fill out this form to subscribe to it. Citation Guidelines: 1) To cite the GNI codebook (or any other documentation associated with the Global News Index and Archer) please use the following citation: Cline Center for Advanced Social Research. 2025. Global News Index and Extracted Features Repository [codebook], v1.3.0. Champaign, IL: University of Illinois. June. XX. doi:10.13012/B2IDB-5649852_V6 2) To cite data from the Global News Index (accessed via Archer or otherwise) please use the following citation (filling in the correct date of access): Cline Center for Advanced Social Research. 2025. Global News Index and Extracted Features Repository [database], v1.3.0. Champaign, IL: University of Illinois. Jun. XX. Accessed Month, DD, YYYY. doi:10.13012/B2IDB-5649852_V6 *NOTE: V6 is replacing V5 with updated ‘Archer’ documents to reflect changes made to the Archer system.

The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

News Sentiment Index Trend data was reported at 114.640 Index in 28 Nov 2025. This records an increase from the previous number of 114.340 Index for 27 Nov 2025. News Sentiment Index Trend data is updated daily, averaging 86.990 Index from Jan 2005 (Median) to 28 Nov 2025, with 7216 observations. The data reached an all-time high of 127.840 Index in 03 Nov 2025 and a record low of 59.790 Index in 15 Mar 2020. News Sentiment Index Trend data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.S: News Sentiment Index.

France's main stock market index, the FR40, rose to 8121 points on December 2, 2025, gaining 0.29% from the previous session. Over the past month, the index has climbed 0.13% and is up 11.93% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on December of 2025.

Train File contains 3 columns. 1. Article text :- Contains text to be classified 2. target: categories that a text belongs to 3. Article Index: Unique ID of an Article Test File contains 2 columns. 1. text: contains the text 2. Article Index: Index of the article(Unique D)

The Reputable News Index (RNIX) dataset consists of retweet cascades linking articles from 28 reputable news publishers.

Germany's main stock market index, the DE40, rose to 23722 points on December 2, 2025, gaining 0.56% from the previous session. Over the past month, the index has declined 1.70%, though it remains 18.51% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on December of 2025.

Hong Kong's main stock market index, the HK50, rose to 26095 points on December 2, 2025, gaining 0.24% from the previous session. Over the past month, the index has declined 0.24%, though it remains 32.15% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on December of 2025.

World Press Freedom Index 🌍📰

Overview

The World Press Freedom Index (WPFI) is an annual ranking of countries compiled and published by Reporters Without Borders (RSF) since 2002. This comprehensive index aims to assess and rank countries based on their press freedom records in the previous year. It provides valuable insights into the degree of freedom that journalists, news organizations, and netizens enjoy in each country, as well as the efforts made by authorities to uphold and protect this fundamental freedom.

What Does It Measure? 📊

Reporters Without Borders emphasizes that the WPFI exclusively focuses on press freedom and does not evaluate the quality of journalism or address human rights violations in a broader context. This dataset helps shed light on the status of press freedom around the world, which is crucial for maintaining an informed and democratic society.

Methodology 📈

Old vs. New Criteria 🔄

The methodology for the WPFI has undergone significant changes over the years. Initially, it relied on seven general criteria, including pluralism, media independence, self-censorship, legislative framework, transparency, infrastructure, and abuses. However, in 2022, there was a major overhaul of the methodology, departing from the one used from 2013 to 2021. As a result, the criteria and thresholds for categorization have been adjusted to provide a more nuanced and accurate assessment of press freedom.

Five Key Categories 📝

The WPFI now evaluates countries against five distinct categories to gauge their press freedom status. These categories are: 1. Political Context: Examining the political landscape's influence on press freedom. 2. Legal Framework: Assessing the legal structures in place to support or hinder press freedom. 3. Economic Context: Analyzing the economic factors that affect the media's independence and viability. 4. Sociocultural Context: Understanding the cultural and societal factors that impact press freedom. 5. Safety: Assessing the safety of journalists and media workers within a given country.

This dataset, with its revised methodology, offers a more comprehensive understanding of the complex interplay between various factors and press freedom worldwide. 🌐🗽📊

Dataset Columns Information 📊🌍

Here is the information about the columns in the dataset for the World Press Freedom Index (WPFI):

1. Country 🌎

   • This column contains the names of different countries. Each row corresponds to a specific country, and it serves as the primary identifier for the dataset.

2. 2023 [6] 📅 (Rank)Points

   • This column represents the World Press Freedom Index (WPFI) rankings for the year 2023. The numbers in this column reflect the position or score of each country in terms of press freedom according to the most recent data.

3. 2022 [7] 📅 (Rank)Points

   • This column displays the WPFI rankings for the year 2022. It provides historical data regarding the press freedom status of each country in the previous year.

4. 2021 [8] 📅(Rank)Points

   • The column contains WPFI rankings for the year 2021. It offers insights into the press freedom situation in each country in that specific year.

5. 2020 [9] 📅(Rank)Points

   • This column contains data related to the WPFI rankings for the year 2020, which is important for understanding the trend in press freedom over several years.

6. 2019 [10] 📅(Rank)Points

   • The final column in the dataset provides information about the WPFI rankings for the year 2019. This historical data is crucial for tracking press freedom changes over a more extended period.

Note: Each ranking is presented within parentheses, and the points are outside the parentheses. Here's how you can format it:

• In 2023, Norway is ranked 1st with a score of 95.18.
• In 2022, Norway was also ranked 1st with a score of 92.65.
• In 2021, Norway held the 1st position with a score of 93.28.
• In 2020, Norway was 1st with a score of 92.16.
• In 2019, Norway was ranked 1st with a score of 92.18.

These columns collectively enable a comprehensive analysis of how press freedom has evolved over time in different countries, as measured by the World Press Freedom Index. 📈📆🏛️

Utilization of the World Press Freedom Index Dataset 🌍📰

The dataset containing World Press Freedom Index (WPFI) rankings for multiple countries over several years can be harnessed for a wide range of purposes and activities. Here are some potential uses and activities that anyone can perform using this dataset:

1. Comparative Analysis: Researchers and journalists can analyze the data to compare and contrast the press freedom rankings of different countries. This allows for insights into how press freedom has evolved globally.

2. Trend Analysis: Users can identify trends and changes in press freedom over the years for specific c...

Dataset

This dataset was created by magic_ztt

Contents

The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

Dataset Description

The Twitter Financial News dataset is an English-language dataset containing an annotated corpus of finance-related tweets. This dataset is used to classify finance-related tweets for their sentiment.

The dataset holds 11,932 documents annotated with 3 labels:

sentiments = { "LABEL_0": "Bearish", "LABEL_1": "Bullish", "LABEL_2": "Neutral" }

The data was collected using the Twitter API. The current dataset supports the multi-class classification… See the full description on the dataset page: https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment.

The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

Graph and download economic data for All-Transactions House Price Index for Newport News city, VA (ATNHPIUS51700A) from 1975 to 2024 about Newport News City, VA; Virginia Beach; VA; HPI; housing; price index; indexes; price; and USA.

Prices for United States Stock Market Index (US500) including live quotes, historical charts and news. United States Stock Market Index (US500) was last updated by Trading Economics this December 1 of 2025.

Aug 1997 News Interest Index

This dataset, titled News Recommendations: Headlines & Categories, contains 1,999 records of news articles sourced from various newspapers. It is a versatile resource for machine learning tasks such as text classification, recommendation systems, and natural language processing (NLP). Each entry includes a headline summarizing the news article, the name of the newspaper that published it, a brief description of the article, and its associated categories. There are 209 unique categories in total, ranging from single labels like "Business" and "Education" to multi-label combinations like "Environment, Health" and "Sports, Economy." Additionally, each record includes a link to the full article, offering further context for analysis. This dataset can be utilized for a variety of applications, including building personalized news recommendation systems, performing sentiment analysis, and experimenting with multi-label learning models. Its rich and diverse content makes it ideal for researchers and practitioners exploring real-world data scenarios. To enhance usability, cleaning the category labels for consistency may be a helpful first step. Overall, this dataset provides an excellent opportunity to work with complex textual data in a practical and impactful way.

In 2025, the United States had a press freedom index score of ***** points, down from ***** a year earlier. According to this global ranking, the greater the index score, the better the situation regarding press freedom in a given country. Despite a decrease in press freedom violations compared to in 2020, the index score in the United States was the worst on record in 2025 compared to previous years in the timeline. Why is press freedom in the U.S on the decline? Despite limited direct government control over how journalism is carried out in the United States, concentration of ownership in the country’s news landscape remains a significant issue, as does the gradual but consistent disappearance of local news outlets. The renewed influence of political figures — particularly President Donald Trump — continues to shape public discourse, with accusations of “fake news” still widespread in 2025. Distrust in the media remains high, and the waves of layoffs that began in 2023 continued through 2024 and into 2025, resulting in job losses for thousands of journalists and newsroom employees across the country. Falling trust in news Globally, more than half of journalists believe that the public has lost trust in the media over the last year. Unfortunately, this suspicion is not far from the truth. Only ** percent of U.S. respondents to a global survey considered journalists to be trustworthy. Further, almost ** percent of U.S. adults have no trust at all in the mass media to report the news accurately and fairly, close to double the share who felt the same way a decade earlier.

Dataset

This dataset was created by Anas Rajeh

Contents

The graph shows the changes in the h-index of ^ and its corresponding percentile for the sake of comparison with the entire literature. H-index is a common scientometric index, which is equal to h if the journal has published at least h papers having at least h citations.