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Elon Musk JRE Audience Interaction Archive
Social Media and Posts
Tags and Keywords
Trusted By
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Free
About
Analysing public engagement and digital conversation surrounding the appearances of Elon Musk on the Joe Rogan Experience provides a unique lens into modern media influence. These records archive tens of thousands of comments from listeners of the long-form interview podcast, which covers broad themes including science, technology, and current events. The data reflects the cultural significance of these discussions, such as the widely publicised 2018 interview, and offers a way to study the intersection of business and public perception within alternative media environments.
Columns
- Comment: The specific textual response or remark provided by a viewer in the comment section.
- Anonymized Author: A unique, hashed identifier for the user who posted the comment, allowing for participant tracking while preserving privacy.
- Published At: The date and time the comment was originally posted, facilitating temporal analysis.
- Likes: The total number of positive reactions received by a specific comment from other community members.
- Reply Count: The number of direct responses in a threaded conversation for a specific comment.
Distribution
The resource is provided in a CSV format titled
Elon Musk_Joe Rogan new.csv with a file size of 19.61 MB. It consists of 92,200 valid records with 5 distinct columns and holds a usability score of 10.00. Updates are scheduled to occur on an annual basis.Usage
This collection is designed for natural language processing and sentiment analysis to gauge public reaction to specific podcast episodes. It can be used to identify high-engagement topics or to model the viral nature of digital discourse over several years. Researchers may also apply it to study user interaction patterns and the evolution of opinions regarding technology and entrepreneurship.
Coverage
The scope is global, reflecting the worldwide audience of the Joe Rogan Experience. The temporal range covers five years, from 7 September 2018 to 31 December 2023. The data captures interactions from over 92,000 unique authors involved in the digital conversation.
License
CC0: Public Domain
Who Can Use It
Social media analysts can leverage the data to track trends in digital engagement and audience sentiment. Data scientists might utilise the text for training classification models or performing keyword extraction. Additionally, media researchers can explore the records to understand the long-term cultural impact of long-form interview content.
Dataset Name Suggestions
- Elon Musk JRE Audience Interaction Archive
- Joe Rogan Experience: Elon Musk Commentary Database
- Musk-Rogan Digital Discourse and Sentiment Registry
- Long-Form Podcast Audience Engagement Set: Musk Interviews
- Public Perception Trends: Elon Musk on Joe Rogan (2018-2023)
Attributes
Original Data Source: Elon Musk JRE Audience Interaction Archive
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Free
Download Dataset in CSV Format
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