Netflix Squid Game Global Tweets

Columns

• user_name: The display name of the Twitter user who posted the tweet. This column has over 54,000 unique names.
• user_location: The self-declared location of the Twitter user. Approximately 30% of these values are missing, with Los Angeles, CA being a frequent entry among the nearly 18,200 unique locations.
• user_description: The biographical text provided by the user in their Twitter profile. Around 7% of these descriptions are missing, with a notable repeat entry for an online store.
• user_created: The date and time when the user's Twitter account was created. This ranges from July 2006 to November 2021.
• user_followers: The number of followers the Twitter user has. Values range from 0 to over 16.8 million, with an average of approximately 17,900 followers.
• user_friends: The number of accounts the user is following. Values vary from 0 to over 1.2 million, with an average of about 1,070 friends.
• user_favourites: The total number of tweets the user has liked or favourited. This metric ranges from 0 to over 1.1 million, with an average of roughly 18,000 favourites.
• user_verified: A boolean indicator showing whether the user's account is verified by Twitter. Only 4% of accounts in this dataset are verified.
• date: The specific date and time the tweet was posted. The data spans from 5th October 2021 to 1st November 2021.
• text: The full content of the tweet itself. This column contains over 75,000 unique tweet texts.
• source: The application or platform used to publish the tweet (e.g., "Twitter for iPhone", "Twitter for Android"). "Twitter for iPhone" is the most common source, accounting for 39% of the tweets.
• is_retweet: A boolean flag indicating if the tweet is a retweet. All tweets in this dataset are original tweets (not retweets).

Distribution

Usage

• Conducting exploratory data analysis on social media trends.
• Performing sentiment analysis to gauge public perception of "Squid Game".
• Identifying key discussion themes and topics related to the show.
• Analysing user engagement patterns and influencer activity surrounding a popular media event.
• Research into viral content and hashtag performance on social media platforms.

Coverage

License

Who Can Use It

• Data analysts and scientists: For social media trend analysis, natural language processing (NLP) tasks, and machine learning model training for sentiment prediction.
• Market researchers: To understand audience reactions, public opinion, and brand perception related to entertainment media.
• Academics and students: For research projects on social media phenomena, cultural impact of television shows, and text data analysis.
• Entertainment industry professionals: To gain insights into audience engagement and discussion surrounding new releases.

Dataset Name Suggestions

• Squid Game Twitter Conversation Data
• Netflix Squid Game Global Tweets
• Squid Game Social Media Pulse
• Hashtag Squid Game Tweets (2021)
• Squid Game Audience Engagement Data

Attributes