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Elon Musk Rogan Interview Comments
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About
Dive into the heart of digital discourse with this meticulously curated dataset from the groundbreaking "Joe Rogan Experience #1169 - Elon Musk" interview. This historic conversation, streamed live on 7 September 2018, became one of YouTube's most iconic broadcasts, capturing global attention. The dataset comprises 92,000 anonymised comments, each reflecting public sentiment and reaction to this viral dialogue. It offers a rich, raw context for analysis, with individual commenter privacy maintained through SHA-256 encryption.
Columns
- Comment: This column contains the actual user comments, with 89,820 unique values. There is 1 missing value out of 92,209 total records.
- Anonymised Author: Represents the anonymised identity of the comment author using SHA-256 encryption. It features 92,209 unique values, indicating each comment has a distinct anonymised author. All values are valid and none are missing.
- Published At: Indicates the date and time when the comment was published. The data ranges from 7 September 2018 to 31 December 2023. This column is fully populated with valid date entries.
- Likes: Records the number of likes each comment received. Values range from 0 to 177,186, with a mean of 16.1. Most comments (91,983) have between 0 and 8,859 likes.
- Reply Count: Shows the number of replies a comment has. Values range from 0 to 498, with a mean of 0.51. The majority of comments (91,983) have between 0 and 24 replies.
Distribution
The dataset is provided as a CSV file, named "Elon Musk_Joe Rogan.csv", with a file size of 19.61 MB. It contains 92,209 records, representing individual comments from the interview.
Usage
This dataset is ideal for:
- Conducting Sentiment Analysis: Explore the general sentiment of the comments, categorising them into positive, negative, or neutral.
- Performing Hate Speech Detection: Utilise advanced algorithms to detect and analyse the prevalence and nature of hate speech within the dialogue.
- Undertaking Advanced Polarity Analysis: Measure the intensity of emotions expressed in the comments, understanding how viewers react to various topics discussed.
- Engaging in Topic Modelling: Identify and categorise the main topics of discussion, uncovering the core themes that resonate with the audience.
- Exploring Cultural Insights: Gain a deeper understanding of the cultural and societal impacts reflected through viewer comments and discussions.
Coverage
The dataset's content is drawn from a global dialogue, capturing the attention of viewers worldwide. The comments span a time range from 7 September 2018 to 31 December 2023. Author identities are anonymised, prioritising privacy while preserving context.
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Who Can Use It
This dataset is particularly valuable for:
- Linguists and Sociologists keen on dissecting the cross-section of technology, culture, and digital community interaction.
- Data Scientists looking to apply advanced analytical techniques.
- Researchers and enthusiasts aiming to contribute valuable research and education in the digital era.
- Anyone interested in understanding the broader implications of public discourse in the age of information and technology.
Dataset Name Suggestions
- Elon Musk Rogan Interview Comments
- YouTube Historic Interview Discourse
- Musk Rogan Global Dialogue Data
- JRE #1169 Comment Analysis
- Digital Discourse on Elon Musk Rogan
Attributes
Original Data Source: Elon Musk Rogan Interview Comments
QUALITY