Baselight

Reddit: /r/Art

Examining Content by Title, Score, ID, URL, Comments, Create Date, and Timestamp

@kaggle.thedevastator_uncovering_online_art_trends_with_reddit_posting

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About this Dataset

Reddit: /r/Art


Reddit: /r/Art

Examining Content by Title, Score, ID, URL, Comments, Create Date, and Timestamp

By Reddit [source]


About this dataset

This dataset offers an in-depth exploration of the artistic world of Reddit, with a focus on the posts available on the website. By examining the titles, scores, ID's, URLs, comments, creation dates and timestamps associated with each post about art on Reddit, researchers can gain invaluable insight into how art enthusiasts share their work and build networks within this platform. Through analyzing this data we can understand what sorts of topics attract more attention from viewers and how members interact with one another in online discussions. Moreover, this dataset has potential to explore some of the larger underlying issues that shape art communities today - from examining production trends to better understanding consumption patterns. Overall, this comprehensive dataset is an essential resource for those aiming to analyze and comprehend digital spaces where art is circulated and discussed - giving unique insight into how ideas are created and promoted throughout creative networks

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How to use the dataset

This dataset is an excellent source of information related to online art trends, providing comprehensive analysis of Reddit posts related to art. In this guide, we’ll discuss how you can use this dataset to gather valuable insights about the way in which art is produced and shared on the web.
First and foremost, you should start by familiarizing yourself with the columns included in the dataset. Each post contains a title, score (number of upvotes), URL, comments (number of comments), created date and timestamp. When interpreting each column individually or comparing different posts/threads, these values will provide invaluable insight into topics such as most discussed or favored content within the Reddit community.
After exploring the general features within each post/thread in your analysis it’s time to move onto more specific components such as body content (including images) and creative dates - when users began responding and interacting with content posted about a specific topic or action related item). Utilizing these variables will help researchers uncover meaningful patterns regarding how communities interact with certain types of content over longer periods of time & also give context from what type of topics are trending at any given moment when analyzing at shorter intervals.
Finally one last creative output that can stem from using this data set revolves around examining titles for common words & phrases that appear often among posts discussing similar types of artwork or other forms media production - identifying potential keywords & symbols associated across several different groups can paint a holistic picture regards what kind engagement each group desires while they engage amongst other like-minded individuals further aided by parameters presented through number scores what helps measure overall reception per submissions or individual thoughts presented in comment thread discussions among others known similar outlets available on site itself! Here's hoping utilizing these techniques may bring attention to some possible conclusions derived already exists previously undiscovered apart our eyes – good luck everyone!

Research Ideas

  • Analyzing topics and themes within art posts to determine what content is most popular.
  • Examining the score of art posts to determine how the responding audience engages with each piece.
  • Comparing across different subreddits to explore the ‘meta-discourse’ of topics that appear in multiple forums or platforms

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: Art.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

Art

@kaggle.thedevastator_uncovering_online_art_trends_with_reddit_posting.art
  • 133.63 KB
  • 1710 rows
  • 8 columns
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CREATE TABLE art (
  "title" VARCHAR,
  "score" BIGINT,
  "id" VARCHAR,
  "url" VARCHAR,
  "comms_num" BIGINT,
  "created" DOUBLE,
  "body" VARCHAR,
  "timestamp" TIMESTAMP
);

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