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Justin Bieber Audience Engagement
Entertainment & Media Consumption
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Free
About
This dataset provides a detailed examination of tweets from Justin Bieber's official Twitter account, offering insights into the engagement and reach of his posts. It allows users to monitor how his audience interacts with his content, by measuring various tweet metrics such as timestamp, conversation ID, retweet count, and media usage. The data facilitates the identification of trends in Justin Bieber's tweets from the start of his career to the present day, exploring factors that have influenced a tweet's success. This resource presents a prime opportunity to enhance understanding of digital marketing strategies and public sentiment related to Justin Bieber's social media presence, providing valuable insights for marketers aiming to create impactful campaigns.
Columns
- content: The textual content of the tweet.
- created_at: The timestamp indicating when the tweet was created.
- date: The date when the tweet was created.
- likeCount: The total number of likes a tweet received.
- media: Information about media (e.g., photos, videos) included in the tweet.
- outlinks: Any external links shared within the tweet.
- quoteCount: The number of times the tweet has been quoted.
- quotedTweet: Details of any tweet that has been quoted.
- replyCount: The number of replies a tweet received.
- retweetCount: The total number of retweets a tweet received.
Distribution
The dataset is typically provided as a data file, often in CSV format. It contains approximately 17,967 unique records, covering Twitter activity from 15th May 2009 to 2nd December 2022. Key engagement metrics within the dataset show a wide range, with like counts reaching up to 1.29 million, retweet counts up to 71.4 thousand, reply counts up to 208 thousand, and conversation IDs up to 522 thousand.
Usage
This dataset offers valuable insights into the effectiveness of Justin Bieber's tweets and can be utilised for various applications:
- Identifying Top Performing Tweets: By analysing metrics such as likes, retweets, and comments, users can pinpoint the most popular tweets and understand the underlying reasons for their high engagement. This aids in optimising future content for maximum reach.
- Establishing Time-of-Day Trends: Utilising the tweet timestamps, businesses can determine optimal posting times to achieve peak audience engagement. This data supports strategic planning for content releases and campaign launches based on specific days or seasons.
- Language Analysis: The dataset can be used to analyse Justin Bieber's language choices, drawing conclusions about his effective communication style and identifying phrases that drive high user engagement for him. This analysis can also be extended to compare his approach with other artists or business accounts on social networks like Twitter.
Coverage
The dataset offers a global scope, tracking Justin Bieber's Twitter activity from the inception of his career (15th May 2009) through to 2nd December 2022. The data focuses on his official Twitter account and its audience, providing a detailed look at his digital presence over this extended period.
License
CC0
Who Can Use It
This dataset is ideal for:
- Marketers: To gain insights into effective digital marketing strategies and public sentiment, aiding in the creation of impactful social media campaigns.
- Businesses: For understanding content that drives engagement, establishing optimal posting times, and analysing language choices for effective communication on social media.
- Researchers: Those interested in social media analytics, celebrity influence, and digital communication trends.
Dataset Name Suggestions
- Justin Bieber Twitter Engagement
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- Justin Bieber Audience Engagement
Attributes
Original Data Source: Justin Bieber Tweets
QUALITY