Tanamongeau Tweets
Detailed Insight into Tweet Composition and Engagement
By Twitter [source]
About this dataset
This dataset provides an in-depth analysis of the Twitter activity and engagement patterns of Tanamongeau, one of the most popular influencers and content creators out there. The data provided for each tweet contains a wealth of information about the type of content being posted, as well as its associated engagement levels (like count, retweet count, quote count, reply count etc.). Researchers can thus explore how different types of posts fare with regards to user engagement and how subject matter affects conversation trends. This dataset also allows a detailed analysis on the effects that various media elements can have on a user's followers. Included within this data are columns such as created_at (date created) media (images/videos), outlinks (URLs to external pages), quotedTweet (quoted text), retweetedTweet (texts that were already present in tweets) ids and conversationIds which provide researchers with invaluable insights into understanding how Tanamongeau's followers interact with them through social media platforms
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How to use the dataset
To use this dataset effectively, it’s important to familiarize yourself with each column first. The columns contained in the index are: Content (the text contents of the tweet), created_at (date/time when tweet was sent), date (date posted), likeCount (number of likes for a particular post), Media (all attached media to a post such as images or GIFs), Outlinks (URL links associated with post), QuoteCount (Number of quotes received on a single post/tweet by other users or accounts) Quoted Tweet ID(the ID from original quoted tweet given by author) ReplyCount(Number of replies given in response to original tweet) Retweet Count(Number Of retweet responses to original post) RetweetedTweet(details related to retweeted posts by other users on same user's profile).
Once you’ve familiarized yourself with each column, you can begin exploring different angles for analysis. For example: what kind of content is garnering the most engagement? What type of media is performing best? How many average retweets does Tanamongeau receive? Or what type conversations are driving increased engagement? By using this information from the dataset along with your own observations gathered during research will ultimately help form trends and patterns that provide valuable insights in understanding Tanamongeau's engagement habits better than ever before!
Research Ideas
- Creating an Insights Dashboard: Analyzing the dataset can be used to create an insights dashboard that will help keep track of Tanamongeau’s Twitter performance over time and identify key trends in their engagement metrics such as likes, retweets, replies etc.
- Developing Social Media Strategies: The data collected in this dataset can also be used to help inform and develop effective social media strategies based on their past tweeting behavior, content that did well, and levels of engagement with different types of posts.
- Identifying Influencers/Partnerships: By examining Tanamongeau’s tweeted conversations or replying tweets, researchers can identify potential influencers or partnerships by identifying any shared connections with other Twitter users mentioned in the conversation threads
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.