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Sports Team Social Engagement Data
Sports & Recreation
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Free
About
This dataset provides a collection of social media posts from prominent football clubs. Its primary aim is to facilitate the understanding of tweet popularity and how match outcomes influence the nature of tweets and the level of user engagement. The data was gathered using Tweepy. It distinguishes between three types of tweets: Original Tweets, Quoted Tweets, and Retweets.
Columns
created_at: The date and time when the tweet was posted.full_tweet: The complete text content of the tweet.tweet_type: An indicator specifying if the tweet is an original post (0), a quoted tweet (1), or a retweet (2).retweets: The total count of times the tweet has been retweeted.likes: The total count of likes the tweet has received.mentions: Mentions included within the tweet text.
Distribution
The data files for this product are typically provided in CSV format. While a specific number of rows or records is not available, sample files are updated separately on the platform.
Usage
This dataset is ideal for various applications, including:
- Analysing social media engagement in sports.
- Studying the impact of football match results on online discourse.
- Natural Language Processing (NLP) tasks, such as sentiment analysis or topic modelling.
- Developing and training AI and Large Language Models (LLMs).
Coverage
- Geographic Scope: Global.
- Time Range: The dataset includes tweets related to current tournaments such as Euro 2020 and Copa America, with specific examples from late June 2021.
- Demographic Scope: Tweets from the "Big 6" men's clubs in the Premier League (Arsenal, Manchester City, Manchester United, Chelsea, Liverpool, Leicester) and clubs from The FA Women's Super League (Arsenal, Manchester City, Manchester United, Chelsea, Liverpool, Leicester).
- Data Availability: The dataset includes three distinct tweet types: original, quoted, and retweet.
License
CC0
Who Can Use It
This dataset is suitable for:
- Researchers interested in social media trends and sports analytics.
- Data scientists and analysts looking to perform sentiment analysis or engagement studies.
- Developers of AI and LLMs requiring real-world social media text data.
- Sports organisations and marketing professionals for fan engagement insights.
Dataset Name Suggestions
- Football Teams Social Media Activity
- Premier League & WSL Tweets
- EURO2020 Football Tweets
- Official Football Club Tweets
- Sports Team Social Engagement Data
Attributes
Original Data Source: Football Teams Tweets
QUALITY