Baselight

KSI's Tweets

Popularity, Interactions, and Media Awareness

@kaggle.thedevastator_ksi_tweet_engagement_analysis

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About this Dataset

KSI's Tweets


KSI's Tweets

Popularity, Interactions, and Media Awareness

By Twitter [source]


About this dataset

This comprehensive dataset of tweets from KSI, a popular YouTube vlogger, offers an insightful analysis into user engagement with his content. It provides valuable information about like counts, reply counts, quote counts, and media awareness for each tweet and includes topics covered as well as the types of media used. With these data points researchers can gain valuable insight into the trends and topics that KSI's community members are reacting to, engaging with, and supporting. Additionally they will be able to observe changes in user engagement over time and observe how people in the KSI community are connecting with his content. Ultimately this dataset will help researchers craft better content to reach and better connect with the KSI community

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Research Ideas

  • Tracking the kinds of topics and media shared by KSI over time - Researchers can use this dataset to track the kinds of topics and media that KSI tends to post, such as music, gaming, daily life, and more. This will allow them to gain insight into how his followers are responding to different types of content and what topics may be resonating with them the most.
  • Identifying influential users in the KSI community - By looking at user engagement with individual tweets in this dataset, researchers can identify which users seem to have a higher level of influence when it comes to interacting with KSI's tweets (i.e., they may be retweeting or liking/commenting on tweets far more than most other people). This could help researchers understand who they should target when trying to increase awareness and engagement within their audience
  • Understanding changes in user engagement over time - By looking at trends in likes, replies, quote retweets etc., researchers can gain a better understanding of how user engagement changes over time for specific topics or issues related to KSI's content. This could help researchers better understand what is making an impact within their audience on different timescales (daily/weekly/monthly) so that they can tailor their approaches accordingly

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

Ksi

@kaggle.thedevastator_ksi_tweet_engagement_analysis.ksi
  • 480.21 KB
  • 3025 rows
  • 14 columns
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CREATE TABLE ksi (
  "content" VARCHAR,
  "created_at" VARCHAR,
  "date" VARCHAR,
  "likecount" BIGINT,
  "media" VARCHAR,
  "outlinks" VARCHAR,
  "quotecount" BIGINT,
  "quotedtweet" VARCHAR,
  "replycount" BIGINT,
  "retweetcount" BIGINT,
  "retweetedtweet" VARCHAR,
  "url" VARCHAR,
  "id" BIGINT,
  "conversationid" BIGINT
);

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