Reddit: /r/dadjokes (Submissions & Comments)
Analyzing Popularity and Laughs
By Reddit [source]
About this dataset
Explore the side-splitting world of dad jokes on Reddit! This dataset delves into the humorous dad jokes that abound in the popular subreddit r/dadjokes. Analyze this data to gain insight into which jokes are most popular and why, as well as to discover how audience laughter is measured on Reddit. With columns including 'title', 'score', 'url', 'comms_num', 'created', 'body' and a timestamp, you can use this data to understand what makes a joke truly successful and how Reddit users rate them. Join in on the fun--who knows, you might even learn some quality dad puns yourself!
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Research Ideas
- Running sentiment analysis on dad jokes to uncover themes and patterns in humorous text.
- Performing a cluster analysis of similar dad jokes to uncover hidden relationships between them.
- Analyzing the popularity and interaction of different types of dad jokes; by looking at score, comments, and URL clicks of each joke we could assess which are the most liked or highly visited among Redditors
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: dadjokes.csv
Column name |
Description |
title |
The title of the dad joke. (String) |
score |
The number of upvotes the joke has received. (Integer) |
url |
The URL of the dad joke. (String) |
comms_num |
The total number of comments the joke has received. (Integer) |
created |
The date and time the joke was posted. (DateTime) |
body |
The actual content of the dad joke. (String) |
timestamp |
The timestamp of when the joke was posted. (Integer) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Reddit.