Name: Reddit: /r/AdviceAnimals (Submissions & Comments)
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Reddit: /r/AdviceAnimals (Submissions & Comments)

Exploring Post and Comment Dynamics, Popular Content, and Community Contributors

By Reddit [source]

About this dataset

The AdviceAnimals.csv dataset provides users with an unprecedented look into the comment and score dynamics of one of Reddit's most iconic subreddits: Advice Animals. Not only does this data offer insights into post-specific score distributions and the kinds of conversations that ensue, but it also allows users to identify popular posts based on their upvote count, track meaningful conversations between prolific commenters, spot trends in the subreddit over time, and gain a clearer understanding of what content is valued most within this specific community. For each post in the subreddit, seven columns are included; title, score, id, URL, number of comments made on a post (comms_num), creation date/time (created), body text/media content holds or links to within a post (body) and timestamp. By analyzing this data at a granular level you can gain valuable insights into both Reddit at large as well as its influential part-subreddits like Advice Animals - helping aspiring moderators identify effective conversation dynamics for similar communities they may be managing!

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How to use the dataset

The dataset ‘Uncovering Community Dynamics of Reddit’s Advice Animals Subreddit’ can be used to uncover insights into the community dynamics of this particular Reddit subreddit. The dataset contains seven columns, including the post title, score, comment number, URL, creation date and time, body and timestamp. Here are some ways you can use this data to gain insight into the community dynamics:

Research Ideas

Identifying the most prolific contributors in the subreddit by analyzing comment and score patterns over time.

Examining post content to learn about trending topics in the subreddit.

Monitoring score dynamics to identify popular posts and observe trends in different types of content that are liked by users of the subreddit

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: AdviceAnimals.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 text of the post. (String)
timestamp	The timestamp of when the post was created. (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

Adviceanimals

@kaggle.thedevastator_uncovering_community_dynamics_of_reddit_s_advice.adviceanimals

237.63 kB
1,937 rows
8 columns

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