Welcome to the Webz.io Adverse Media News Dataset Repository! This repository is created by Webz.io and is dedicated to providing free datasets of publicly available news articles categorized as Adverse Media news. We release new datasets weekly, each containing around 1,000 news articles focused on Adverse Media news.
The data is created by running the following query against Webz.io open web repository: site_type:news sentiment:negative category:"Economy, Business and Finance" language:english
To get ongoing free access to online news data, you can use Webz.io's free News API Lite.
- Weekly Releases: New dataset available every week.
- Thematic Focus: Datasets based on Adverse Media themes.
- Rich Metadata: Includes sentiment analysis, categories, publication dates.
- Diverse Sources: Articles from a wide range of news websites.
The datasets are free for academic, research, and journalistic purposes:
- Data Analysis: For statistical analyses, trend identification, and pattern recognition.
- Machine Learning: Suitable for training NLP models, sentiment analysis, etc.
- Journalistic Research: Helps journalists in data-driven storytelling.
- Browse the repository.
- Find a dataset that suits your needs.
- Download the dataset with its detailed description and metadata file.
For questions or support, raise an issue in the repository.
By using the Dataset Repository you agree to the following TOU.