🌍Public Opinion On NASA's Climate Posts

Overview

This dataset encompasses over 500 user comments collected from high-performing posts on NASA's Facebook page dedicated to climate change (https://web.facebook.com/NASAClimateChange/). The comments, gathered from various posts between 2020 and 2023, offer a diverse range of public opinions and sentiments about climate change and NASA's related activities.

Data Science Applications

Despite not being a large dataset, it offers valuable opportunities for analysis and Natural Language Processing (NLP). Potential applications include:

• Sentiment Analysis: Gauge public opinion on climate change and NASA's communication strategies.
• Trend Analysis: Identify shifts in public sentiment over the specified period.
• Engagement Analysis: Understand the correlation between the content of a post and user engagement.
• Topic Modeling: Discover prevalent themes in public discourse about climate change.

Column Descriptors

1. Date: The date and time when the comment was posted.
2. LikesCount: The number of likes each comment received.
3. ProfileName: The anonymized name of the user who posted the comment.
4. CommentsCount: The number of responses each comment received.
5. Text: The actual text content of the comment.

Ethical Considerations and Data Privacy

All profile names in this dataset have been hashed using SHA-256 to ensure privacy while maintaining data usability. This approach aligns with ethical data mining practices, ensuring that individual privacy is respected without compromising the dataset's analytical value.

Acknowledgements

We extend our gratitude to NASA and their Facebook platform for facilitating open discussions on climate change. Their commitment to fostering public engagement and awareness on this critical global issue is deeply appreciated.

Note to Data Scientists

As data scientists analyzing this dataset, it is crucial to approach the data impartially. Climate change is a subject with diverse viewpoints, and it is important to handle the data and any derived insights in a manner that respects these different perspectives.

Image Credits

The dataset's thumbnail was generated by Dall-E 3.