Baselight

Keemstar's Tweets

Investigating Fan Engagement & Social Media Trends

@kaggle.thedevastator_keemstar_popular_tweets_analysis_likes_quotes_re

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About this Dataset

Keemstar's Tweets


Keemstar's Tweets

Investigating Fan Engagement & Social Media Trends

By Twitter [source]


About this dataset

This dataset provides an insightful analysis of Likes, Quotes, and Replies to popular tweets by Keemstar. It includes 8 variables such as Content, Created_at, LikeCount, Media, Outlinks, QuoteCount, ReplyCount and RetweetCount. Through this data researchers can uncover the conversation IDs and URLs associated to each tweet providing useful information on fan engagement with well-known celebrities. With this data researchers can identify social media preferences and trends while exploring the dynamics of fan engagement with celebrities. Analysis of these variables could help understand conversation topics around which conversations occur more frequently amongst users as well as the level of engagement based on different media formats used in these posts. An exploration through this dataset is an essential tool when looking closely into celebrity’s interactions to better grasp how they engage with their fans and respond accordingly

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Research Ideas

  • Evaluating the popularity of different media types among Keemstar's fans. Through comparing the like and quote counts, as well as the replies to tweets with different media attachments such as videos, images, or audio snippets, researchers can gain a better understanding of both what types of content engages people more within different topics, and how engagement trends change over time.
  • Identifying topic trends on Twitter around conversations with Keemstar by analyzing the text in tweets and its associated keywords using natural language processing tools. This could help researchers to identify what topics are popular among followers and how conversations around these topics evolve over time.
  • Associating specific peoples’ interactions with Keemstar on Twitter (defined by like count, quote count or reply count respectively) with demographic information; this allows researchers to build more detailed pictures about fan engagement patterns in relation to age groups or locations (as these are some common pieces of demographic data that can collected from social media accounts)

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

Keemstar

@kaggle.thedevastator_keemstar_popular_tweets_analysis_likes_quotes_re.keemstar
  • 13.41 MB
  • 114328 rows
  • 14 columns
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CREATE TABLE keemstar (
  "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
);

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