Baselight

Quackity4k's Tweets

Analyzing Likes, Retweets, Replies, and Quote Tweets

@kaggle.thedevastator_quackity4k_twitter_interaction_analysis

Loading...
Loading...

About this Dataset

Quackity4k's Tweets


Quackity4k's Tweets

Analyzing Likes, Retweets, Replies, and Quote Tweets

By Twitter [source]


About this dataset

This dataset contains an in-depth look into all the Twitter interactions of Quackity4k, a well-known and highly regarded account on social media. It provides detailed information about the Likes, Retweets, Replies, and Quote Tweets that the account has received throughout its lifetime, including dates and times issued as well as how many of each interaction type was generated from each tweet. Additionally, it reveals any links or URLs that may have been included in these messages as well as any accompanying media. By analyzing this data to gain insights into public opinion trends or product/topic popularity on Twitter, researchers can make powerful decisions regarding their approach to activities such as marketing campaigns or influencer outreach. This resource is invaluable for those looking to uncover key trends within online user behavior and create effective strategies around their promotional efforts to maximize engagement with their target market

More Datasets

For more datasets, click here.

Featured Notebooks

  • 🚨 Your notebook can be here! 🚨!

Research Ideas

  • Analyzing the types of topics users are engaging with when responding to certain types of tweets, such as Likes, Retweets, and Quote Tweets. This can help identify potential new topics that could be used for campaigns or marketing initiatives in order to gain more traction on the platform.
  • Understanding which interactions are most effective in terms of driving engagement and helping promote brand awareness across various channels and platforms. By analyzing the Likes/Retweets ratio as well as looking at average numbers per tweet type, social media influencers can better manage their strategies for achieving high engagement rates online.
  • Examining the timeframes during which people are most likely to interact with Quackity4k's tweets by plotting out day-of-week or hourly graphs of all interaction types (likes/RTs/etc). This data could provide valuable insights into when it's best to post content for maximum reach and engagement across different channels

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

Quackity4k

@kaggle.thedevastator_quackity4k_twitter_interaction_analysis.quackity4k
  • 224.64 KB
  • 1810 rows
  • 14 columns
Loading...

CREATE TABLE quackity4k (
  "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
);

Share link

Anyone who has the link will be able to view this.