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Climate Action Sentiment Dataset
Entertainment & Media Consumption
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Free
About
This dataset offers a valuable collection of 1,024 headlines related to climate change. Each headline originates from one of the top 15 countries globally by GDP, providing a wide international perspective. The primary purpose of this dataset is to facilitate analysis of public sentiment regarding climate change, with each headline annotated with a sentiment score ranging from -1 to 1. Positive scores indicate favourable news, such as progress in climate action, while negative scores highlight concerning developments like escalating crises. Scores at zero represent neutral, unclear, or mixed sentiments. This dataset is designed to support research and applications in understanding the media landscape surrounding climate change.
Columns
- Row identifier: A unique identifier for each entry.
- Headline: The climate change news headline itself.
- Link: The source URL for the original news headline.
- Content: A brief extract from the original news article.
- Sentiment: A numerical score from -1 to 1, indicating the sentiment expressed in the headline.
- Justification: A textual explanation supporting the assigned sentiment rating.
Distribution
The dataset contains 1,024 individual records, each representing a climate change-related headline. While a specific file format is not detailed for this particular dataset, data files for marketplace listings are typically provided in CSV format. The quality of this dataset is rated as 5 out of 5, ensuring high reliability for users.
Usage
This dataset is ideal for a variety of analytical and developmental applications. It can be used for training machine learning models for text classification, sentiment analysis, and natural language processing (NLP) tasks focused on environmental or news content. Researchers can utilise it to study trends in climate change media coverage, analyse public discourse, or assess the emotional tone of news reporting over time. It is also suitable for developing applications that monitor and report on global climate news sentiment.
Coverage
The dataset's geographic scope is global, with all headlines sourced from the top 15 countries as measured by their Gross Domestic Product (GDP). This provides an international perspective on climate change news. Information regarding a specific time range for the collected headlines is not available within the provided details.
License
CC0
Who Can Use It
This dataset is particularly useful for:
- Data Scientists: For developing and refining sentiment analysis models related to environmental topics.
- AI and Machine Learning Developers: To train models for natural language processing, text classification, and news summarisation.
- Environmental Researchers: For studying media representation of climate change and public sentiment.
- Media Analysts: To track and evaluate how climate issues are framed in global news.
- Academics: For educational purposes and research projects in environmental studies, journalism, or data science.
Dataset Name Suggestions
- Global Climate News Sentiment
- Climate Change Headline Analysis
- Environmental News Sentiment Data
- Top GDP Countries Climate News
- Climate Action Sentiment Dataset
Attributes
Original Data Source: Climate Change News
QUALITY