Joe Rogan #1169 Interview with Elon Musk Comments Dataset SAMPLE

**Rows**: ~100 (sample) - Full Dataset is 91,845 rows
**Columns**: 5 attributes — comment text, timestamp, engagement metrics, anonymized user ID

**Context**
This dataset captures YouTube comment activity from the *Joe Rogan Experience* episode #1169, featuring Elon Musk, originally published on **September 6, 2018**. It forms part of a broader corpus of ethically sourced and anonymized social media data curated by **AIDC Data, LLC** for natural language and engagement research.

The dataset offers a clean, analysis-ready snapshot of viewer engagement with one of the most discussed podcast interviews of the past decade. It is fully anonymized and compliant with privacy regulations (GDPR, CCPA), enabling transparent and responsible study of online discourse dynamics.

Full licensed dataset available from AIDC for $45. Click through the documentation link to purchase.

**Content**
The sample includes 100 YouTube comments extracted from the episode’s comment thread. Each record contains the comment text, publication timestamp, number of likes, reply count, and an anonymized user identifier. All duplicates have been removed, and no personally identifiable information (PII) is present.

**Column Dictionary**
* `Comment` *(string)* — Text content of the user comment.
* `Published at` *(datetime)* — ISO 8601 timestamp of when the comment was posted.
* `Likes` *(integer)* — Number of likes received by the comment.
* `Reply Count` *(integer)* — Number of direct replies associated with the comment.
* `Anonymized User` *(string)* — Anonymized unique identifier for the commenter.

**Acknowledgements**
Collected from the public **YouTube** comment thread for *The Joe Rogan Experience* episode #1169 featuring Elon Musk. Curated and anonymized by **AIDC, LLC**. Licensed under **Creative Commons Attribution 4.0 International (CC BY 4.0)**.

**Inspiration**
* Sentiment analysis of public reactions to high-profile interviews.
* Temporal dynamics of audience engagement.
* NLP-driven clustering of conversational themes.
* Predictive modeling of comment virality and engagement.
* Comparative study with other Elon Musk or Joe Rogan episode datasets.

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**Keywords**

Joe Rogan, Elon Musk, YouTube Comments, Podcast Analytics, Sentiment Analysis, NLP Dataset, Social Media Research, Engagement Metrics, Anonymized Data, Temporal Trends

搜集汇总

背景与挑战

背景概述

该数据集是乔·罗根采访埃隆·马斯克播客视频的YouTube评论样本，包含约100条评论，每条记录有文本、时间戳、参与度指标和匿名用户ID等属性。数据经匿名化处理，符合隐私法规，适用于自然语言处理和社交参与度分析。