Ed Sheeran's Tweets
Analyzing Interactions and Reactions
By Twitter [source]
About this dataset
This valuable dataset provides an in-depth look into fan engagement with Ed Sheeran’s Twitter account. Explore the content of his Tweets, including date and time posted, likes per tweet, any media attached, URLs or quotes associated with the tweets, how often it was outlinked or quoted by other users and more. With the Conversation ID and Tweet ID columns for each post you can really trace back to track interactions between fans themselves as well as Ed's responses to them. This data is invaluable for understanding fan engagement with Ed Sheeran’s social media presence and can be used to hone your marketing strategies!
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How to use the dataset
Using this dataset is a great way to study the fan engagement on Twitter for Ed Sheeran. Since it includes the content of his tweets, their date and time of posting, information about the amount of likes, any media attached, and other analytic metrics like quote count and URL information, it allows for an insightful peek into how fans are interacting and responding to his content. Here are a few tips about using this dataset:
Research Ideas
- Identifying Trends in Engagement: Analyzing the data can help reveal patterns and insights into fan engagement trends over time. For example, one could compare retweet counts between different posts to see which types of tweets receive more attention from followers or look at engagement levels over certain days or weeks to identify when followers are most active on Ed Sheeran’s account.
- Optimizing Social Media Content: The dataset can be used to inform content the team produces and shares on Ed Sheeran’s account, since it provides historical data that shows what has worked best in the past and which types of content were met with more reluctance.
- Creating Segmented Audience Insights: By analyzing the data, marketers can uncover how different audience segments engage with each post - such as if they prefer media-centric posts or if they are more likely to favor longer written notes - allowing them to tailor content specifically for these groups accordingly. This is a valuable tool for making sure that all audiences stay engaged with current posts on social media platforms
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.