Zach King's Tweets
Understanding Social Media Influence
By Twitter [source]
About this dataset
Kaggle's Zach King Twitter dataset is perfect for anyone interested in gaining a deeper understanding of the reach and engagement levels of social media influencer posts. The dataset features detailed metrics like likes, quotes, replies, retweets, outlinks and more for each post by the world-renowned content creator. This comprehensive collection will offer an insight into how users interact with his content on Twitter to provide valuable learning opportunities as well as helpful tools in measuring brand performance. With this data at your fingertips, unlock the full potential of Zach King's posts today!
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How to use the dataset
This dataset contains a comprehensive collection of Zach King’s tweets, including detailed metrics that measure the reach and engagement of each tweet. This dataset can be used to explore how popular Zach's tweets are, as well as how each individual tweet has been received by his followers.
The columns in this dataset include:
• Tweet ID: The unique identifier for each tweet.
• Text: The text of the tweet itself.
• Date & Time Tweeted: The exact time and date when the post was made.
• Favorites: The number of likes the tweet received from users.
• Retweets: The number of times the post was shared by other Twitter users.
• Replies/ Responses/ Mentions : Any replies, responses or mentions to this tweet that were generated from other users who read it on their timelines or interacted with it otherwise.
• Outlinks : Any links included in the text field will be listed here and provide an indication into which topics are most commonly being discussed surrounding Zach's content online or linked to elsewhere on Twitter when shared by other users’ timelines (a form of brand recognition).
Using this data set, you can measure how successful a particular post is at reaching its intended audience through various metrics such as favorites, retweets and outlink clicks resulting from these posts; analyze trends in content types that garner more engagement versus those that do not; use sentiment analysis techniques to gain insights into user comments surrounding each post; or compare responses between different monthly/weekly periods about topics related to Zach's page for example #SundayFunday, #MondayMotivation etc
Research Ideas
- Analyzing the effectiveness of hashtag and emoji usage: By comparing the engagement (likes, retweets, quotes) on tweets without hashtags/emojis to those with them, marketers can gain an understanding of how these additions influence engagement levels.
- Evaluating content type trends: Using this data marketers can analyze what kind of content consumers prefer more when it comes to Zach King's tweets and tailor their own content accordingly.
- Measuring time-based interactions: This dataset includes a timestamp column which allows users to measure how trends change over period of time and analyze the correlation between different post types and days/times that generate more engagements or reach for specific audience segments
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.