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Dril Twitter History and Metrics
Social Media and Posts
Tags and Keywords
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About
Explore the digital footprint of the legendary internet personality known as @dril, often referred to as the "king of the internet". This archive captures a vast collection of tweets scraped in January 2020, offering a unique window into the evolution of online humour and social media culture. The record includes the raw text of tweets, precise timestamps, and key engagement metrics such as likes and retweets, making it a valuable resource for analysing viral content strategies and linguistic patterns in digital communities.
Columns
- id: The unique numeric identifier for each tweet.
- link: A direct URL to the specific tweet on Twitter.
- content: The full textual body of the tweet.
- date: The timestamp indicating when the tweet was posted.
- retweets: The count of times the tweet was shared by others.
- favorites: The count of likes the tweet received.
- mentions: Usernames of other accounts mentioned in the tweet (mostly null).
- hashtags: Hashtags included in the text (mostly null).
- geo: Geographic location data (entirely null as the user does not utilise this feature).
Distribution
The data is provided in a single CSV file named
driltweets.csv, with a file size of approximately 1.78 MB. It contains 8,921 valid rows, representing a robust history of activity with no missing values in the primary text or identification fields.Usage
This file is highly suitable for Natural Language Processing (NLP) tasks, including text generation and sentiment analysis. Researchers can utilise the engagement statistics to model virality and community impact, while cultural historians may analyse the shift in internet slang and absurdism over the recorded decade.
Coverage
The dataset spans a significant timeframe from 15 September 2008 to 20 January 2020. It focuses exclusively on the timeline of a single influential user, @dril, and does not contain geographic coordinates.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training models on informal, idiomatic English.
- Social Media Analysts: To study high-engagement metrics and outlier performance.
- Academic Researchers: For sociological studies regarding online communities and digital folklore.
Dataset Name Suggestions
- The Dril Tweet Archive 2008-2020
- Dril Twitter History and Metrics
- King of the Internet: @dril Data
Attributes
Original Data Source: Dril Twitter History and Metrics
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