Baselight

Reddit: /r/WTF

Exploring Topics, Sentiment, and Engagement

@kaggle.thedevastator_uncovering_unseen_insights_on_reddit_s_subreddit

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About this Dataset

Reddit: /r/WTF


Reddit: /r/WTF

Exploring Topics, Sentiment, and Engagement

By Reddit [source]


About this dataset

Immerse yourself in the world of Reddit's Subreddit WTF with this comprehensive dataset! This dataset offers a unique glimpse into the mysterious world of Reddit, giving researchers access to 8 columns packed with essential data such as titles, scores, comments counts and URLs, creation dates and times as well as post bodies and timestamps. With this data in hand, researchers can begin uncovering secrets buried beneath Reddit's user-generated content. Uncover trends that go beyond simple sentiment analysis or explore topics important to the community! The possibilities available for research are abundant; it's time to start uncovering the answers you need from this exciting data set

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How to use the dataset

Using this dataset, you can uncover previously unseen insights on Reddit's Subreddit WTF. To get the most out of this dataset, you should familiarize yourself with the columns: title, score, url, comms_num (comment numbers), created (creation date and time), body (the posts body) and timestamp. Each column is filled with valuable information that you can use to uncover hidden trends and topics of discussion within Reddit’s Subreddit WTF community.
Start by exploring the data to gain an understanding of how Reddit works. Look for patterns such as hot topics being discussed or particular types of posts being upvoted more frequently than others. Understanding these patterns will help you build a better picture of what’s going on in Reddit’s Subreddit WTF community.
Once you understand the data, start mining it for relevant metadata—such as sentiment analysis or keyword searches—that will add deeper insight into its user-generated content. By answering questions such as “what topics are people discussing?” or “what type of posts are generating more buzz?” Researchers have the capability to dive deep into related topics with much accuracy thanks to this comprehensive Dataset!
Depending on your research needs; it might also be worth combining different columns from the dataset like URL + Title/Body = something contextual - to unlock insights that help answer a bigger research question when investigated together multiple pieces of data together .This method might be key in uncovering hidden gems from within this dataset! For example; if studying political impact on users content - then analyzing post bodies combined with their dates & timestamps could reveal some interesting trends about increase/decrease of online activity in relation political events happening around a certain period in times cases).

Research Ideas

  • Analyzing the Sentiment of Users: By studying the language and body of Reddit posts, researchers can analyze sentiment and uncover any potential biases or patterns in user words. This could be used to infer subtle changes in sentiment or overall sentiment at a given point in time, as well as spot emerging topics or controversies.
  • Uncover Popular Topics: Through analyzing the titles, topics discussed on WTF subreddit could be determined, allowing for insight into what content might be popular on Reddit overall. This could also help reveal insight into what type of content is widely accepted by Reddit audiences and'smaller subcultures.'
  • Tracking User Engagement: By studying scores and comment counts over time, researcherse can track user engagement with posts over time to see when users are most likely to comment on posts or interact with one another. This could help shed light on user habits and preferences when it comes to engaging with content across different platforms like Reddit or other social media sites

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: WTF.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

Wtf

@kaggle.thedevastator_uncovering_unseen_insights_on_reddit_s_subreddit.wtf
  • 181.02 KB
  • 1823 rows
  • 8 columns
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CREATE TABLE wtf (
  "title" VARCHAR,
  "score" BIGINT,
  "id" VARCHAR,
  "url" VARCHAR,
  "comms_num" BIGINT,
  "created" DOUBLE,
  "body" VARCHAR,
  "timestamp" TIMESTAMP
);

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