AskReddit (Submissions & Comments) by Kaggle | Other

About this Dataset

AskReddit (Submissions & Comments)

Uncovering AskReddit Trends: A Study of Subreddit Engagement

User Engagement Through Posts

About this dataset

This comprehensive dataset contains information from the AskReddit subreddit on Reddit.com, with over 8 columns of data providing valuable insights into user engagement and interaction. It includes the title of each post, their score, how many comments are associated with them, and when they were created/posted. Use this data to gain insight into how different posts engage users on Reddit, what kind of content resonates with readers, and how user engagement has shifted over time. Learn more about AskReddit posts and analyze the patterns that emerge as you examine user engagement across different types of content

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How to use the dataset

One of the most popular subreddits on Reddit is AskReddit – a platform for users to post questions and share knowledge with other Redditors. As active askers, commenters, and posters, it’s essential to gain insight into how people engage in the subreddit.

Using this dataset you can begin your exploration by examining distributions related to post scores (score), number of comments on posts (comms_num), time elapsed between when posts are made and when they receive replies( created vs timestamp). Additionally there may be interesting correlations between features such as post title length(title) & average words per comment(body). The ultimate goal is uncovering key trends in user behavior & identifying features which help predict outcomes so that insight into various engagements can be better accessed.

Utilizing this dataset could potentially provide valuable understanding on how popular & active topics are being discussed on AskReddit whether it's something political or scientific - resulting in an improved UX for both moderators & users alike! Happy Exploring!

Research Ideas

Examining the influence of post titles on user engagement, such as looking at the correlation between more descriptive title lengths and higher scores or comment counts

Utilizing natural language processing techniques to analyze the body of posts in order to gain more insight into user attitudes and opinions

Studying post timing effects by tracking changes in user engagement over time for various subject topics as well as understanding when it may be best to create a post for maximum exposure

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: AskReddit.csv

Column name	Description
title	The title of the post. (String)
score	The number of upvotes the post has received. (Integer)
url	The URL of the post. (String)
comms_num	The number of comments the post has received. (Integer)
created	The date and time the post was created. (Datetime)
body	The body of the post. (String)
timestamp	The timestamp of the post. (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.

Tables

Askreddit

@kaggle.thedevastator_uncovering_askreddit_trends_a_study_of_subreddit.askreddit

201.29 KB
1897 rows
8 columns


CREATE TABLE askreddit (
  "title" VARCHAR,
  "score" BIGINT,
  "id" VARCHAR,
  "url" VARCHAR,
  "comms_num" BIGINT,
  "created" DOUBLE,
  "body" VARCHAR,
  "timestamp" TIMESTAMP
);