Joe Sugg Twitter Content, Interactions And by Kaggle | Media and Entertainment

About this Dataset

Joe Sugg Twitter Content, Interactions And

Joe Sugg Tweets

Uncovering Engagement Behaviors and Popularity Metrics

About this dataset

This dataset contains an abundance of information about Joe Sugg, one of the world's most well-known YouTubers. It offers a deep dive into his influential online presence by tracking each tweet he publishes, including their content, interactions and popularity. Through this data set, researchers have the opportunity to explore Joe Sugg's behavior on social media in a variety of ways. Analyzing factors such as the time of day he posts his tweets and their respective relationships with likes, retweets and quotes can provide insight into how effective they are at engaging fans. Furthermore, upon examining conversational Ids we can shed light on conversations between Andy and other people online regarding his content. By making use of this rich dataset researchers can uncover never before seen insights about this revolutionary Youtuber's immense appeal and impact across social media platforms

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Research Ideas

The dataset could be used to compare and contrast different types of tweets and how that impacts engagement with fans. For example, by comparing the amount of likes, retweets, quotes, replies etc for different types of tweets (e.g., jokes, shoutouts or motivational posts), we can gain insight into what type of content resonates most with Joe Sugg's followers.

This dataset can be utilized to understand the conversation dynamics between Joe Sugg and his fans or other people on the platform. Through tracking conversations based on the ConversationId column, researchers can determine popular topics amongst Joe Sugg's followers and analyze more specifically how conversations start and progress including determining whether the conversations are primarily positive or negative in nature.

By analyzing various metrics associated with each tweet such as time posted, number of likes/retweets/quotes/replies etc., we can gain insights into when is the best time for Joe Sugg to post his tweets in order to maximize viewership and engagement with his audience. This would provide valuable knowledge on optimal posting times which could then be further studied by attempting similar experiments from adjusting those times slightly up or down within a certain range

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

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Twitter.

Tables

Joe Sugg

@kaggle.thedevastator_joe_sugg_twitter_content_interactions_and_popula.joe_sugg

2.29 MB
19563 rows
14 columns


CREATE TABLE joe_sugg (
  "content" VARCHAR,
  "created_at" VARCHAR,
  "date" VARCHAR,
  "likecount" DOUBLE,
  "media" VARCHAR,
  "outlinks" VARCHAR,
  "quotecount" DOUBLE,
  "quotedtweet" VARCHAR,
  "replycount" DOUBLE,
  "retweetcount" DOUBLE,
  "retweetedtweet" VARCHAR,
  "url" VARCHAR,
  "id" DOUBLE,
  "conversationid" DOUBLE
);