Reddit: /r/ExplainLikeImFive by Kaggle | Ecommerce and Consumer Trends

About this Dataset

Reddit: /r/ExplainLikeImFive

Exploring Popular Reddit Discussions, Interactions, and Reactions

About this dataset

Discovering how users engage and interact in Reddit discussions has never been easier! This remarkable dataset captures the conversations of thousands of Reddit users across the popular subreddit r/explainlikeimfive. Spanning from 2018 to 2020, each thread is characterized by its title, score, number of comments, creation time and timestamp, body of text and URL. Delve into this treasure trove and uncover fascinating insights into the world of user engagement: How do interactions between users evolve? What kind of content gets the most attention? Is there a pattern to user reactions towards certain topics? Explore these questions and more with this intriguing dataset!

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How to use the dataset

This dataset provides many interesting insights into the user engagement, interactions, and reactions on the subreddit r/ExplainLikeImFive. To make the most of this dataset, it is important to understand each column and how to use it in your analysis.
The title column contains the title of each discussion thread. This can be used to analyze how users create their titles to draw attention and attract more viewers.
The score column contains the number of upvotes that each discussion thread has received. This can be used as a metric for measuring user response and engagement with a particular post or a wider trend across all posts on this subreddit.
The url column contains a link that will direct you towards each discussion thread if you would like to view it in its entirety or participate in the discussions yourself.
The comms_num column reflects the number of comments that have been posted on each individual discussion thread – this can give an indication as to whether there was much debate around certain topics within these threads or an indication if viewers are more inclined viewing rather than participating in certain discussions (or vice versa). The higher numbers indicate higher levels of discussion while lower numbers indicate less debate on any particular topic covered by these threads.
The created field indicates when each posting was created – this will allow researchers to compare trends across different time frames as well as consider seasonal fluctuations/changes in behaviour over time within this subreddit which might offer further insight into readership numbers, response times etc…
The final two columns provide further depth about what is written inside these threads -the content is two-folded: firstly we have the body text indicating what content people from r/AskELI5 were discussing but then secondly we also have timestamps indicating who wrote what and when i e who responded first second etc… This could allow researchers access richer data about social interactions amongst members using non verbal cues such as tone, grammar or spelling structures etc…
In conclusion, understanding these fields can help anyone wanting conduct research into user engagement patterns on Reddit ExplainLikeImFive gain insight into formulating hypotheses relating both temporal & structural mechanisms behind postings made by participating members here at rELI 5 subreddit allowing us uncover potential behavioural tendencies which may inform practice related activities taking place here such as relationship building evaluation community management etc…

Research Ideas

Analyzing the types of topics that are most popular on Reddit Explain Like I'm Five to understand user engagement and preferences.

Investigating how different topics and conversation styles drive user interaction by examining how comments/replies affect a thread's score over time.

Understanding how users use feedback when responding to discussion threads by analyzing the type of reactions (upvotes, downvotes, replies) they receive from other users in response to their comments/posts

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: explainlikeimfive.csv

Column name	Description
title	The title of the thread. (String)
score	The score out of 5 stars given by viewers or readers of the thread according to its content quality. (Integer)
url	The URL link for easier access or tracking purpose. (String)
comms_num	The number of comments made on the thread. (Integer)
created	The creation time when the thread was posted online. (DateTime)
body	The body of the thread providing full explanation further clarifying users’ opinion regarding a particular matter. (String)
timestamp	The timestamp giving detailed information on when actual comments were posted. (DateTime)

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

Explainlikeimfive

@kaggle.thedevastator_uncovering_patterns_of_user_engagement_on_explai.explainlikeimfive

426.02 KB
1904 rows
8 columns


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