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

About this Dataset

Reddit: /r/videos

Insights on Popularity and Content Quality

About this dataset

This dataset explores the media content on Reddit and how it is received by its community, providing detailed insights into both the popularity and quality of subreditvideos. Here you will find data about videos posted on Reddit, compiled from various metrics such as their upvotes, number of comments, date and time posted, body text and more. With this data you can dive deeper into the types of videos being shared and the topics being discussed – gaining a better understanding of what resonates with the Reddit community. This information allows us to gain insight into what kind of content has potential to reach a wide audience on Reddit; it also reveals which types of videos have been enjoying popularity amongst users over time. These insights can help researchers uncover valuable findings about media trends on popular social media sites such as Reddit – so don't hesitate to explore!

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How to use the dataset

How To Use This Dataset

This dataset is a great resource for analyzing the content and popularity of videos posted on Reddit. It provides various metrics such as score, url, comment count and creation date that let you compare the different types of content being shared on the subredditvideos subreddit.

To get started, take a look at the title field for each post. This gives you an idea of what type of video is being shared, which can be helpful in understanding what topics are popular on the platform.

Next, use the score field to identify posts that have done well in terms of receiving upvotes from users. The higher its score, the more popular it has been with viewers. A higher score does not necessarily indicate higher quality however; take a closer look at each post's body field to get an idea for its content quality before making assumptions about its value based solely off of its high score. Having said that, top scoring posts could be considered further when doing research analysis into popular topics or trends in media consumption behavior across Reddit’s userbase (e.g., trending topics among young adults).
The url field provides you with links to directly access videos so you can review them yourself before sharing them or forwarding them onto friends or colleagues for their feedback/insight as well (something that could be done further depending on how detailed your research project requires). The comms_num column represents how many comments each video has received which may give insight into how engaged viewers have been when viewing stories submitted by this particular sub-reddit’s members - useful information if interactions/conversations surrounding particular types of content are part of your research objective too! Finally make sure to check out timestamp column as this records when each story was created - important information whenever attempting to draw conclusive insights from time-oriented data points (a time series analysis would serve very handy here!).
Knowing all these features listed above should give researchers an easily accessible source into exploring popularity and quality levels amongst Reddit’s shared media channels – uncovering potentially useful insights related specifically those moving image stories found within subredditvideos are made available via this dataset here!

Research Ideas

Identifying and tracking trends in the popularity of different genres of videos posted on Reddit, such as interviews, music videos, or educational content.

Investigating audience engagement with certain types of content to determine the types of posts that resonate most with users on Reddit.

Examining correlations between video score or comment count and specific video characteristics such as length, topic or visual style

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: videos.csv

Column name	Description
title	The title of the video post. (String)
score	The number of upvotes the post has received. (Integer)
url	The URL of the video 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, which includes a description of the video. (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

Videos

@kaggle.thedevastator_uncovering_popular_and_quality_video_content_on.videos

202.1 KB
1745 rows
8 columns


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