Social Media Usage And Emotional Well-Being

Social Media Usage and Emotional Well-Being

This unique dataset was meticulously researched and prepared by AI Inventor Emirhan BULUT. It captures valuable information on social media usage and the dominant emotional state of users based on their activities. The dataset is ideal for exploring the relationship between social media usage patterns and emotional well-being.

Features:

• User_ID: Unique identifier for the user.
• Age: Age of the user.
• Gender: Gender of the user (Female, Male, Non-binary).
• Platform: Social media platform used (e.g., Instagram, Twitter, Facebook, LinkedIn, Snapchat, Whatsapp, Telegram).
• Daily_Usage_Time (minutes): Daily time spent on the platform in minutes.
• Posts_Per_Day: Number of posts made per day.
• Likes_Received_Per_Day: Number of likes received per day.
• Comments_Received_Per_Day: Number of comments received per day.
• Messages_Sent_Per_Day: Number of messages sent per day.
• Dominant_Emotion: User's dominant emotional state during the day (e.g., Happiness, Sadness, Anger, Anxiety, Boredom, Neutral).

Files:

• train.csv: Data for training models.
• test.csv: Data for testing models.
• val.csv: Data for validation purposes.

Usage:

This dataset can be used for various analyses, including but not limited to:

• Predicting users' emotional well-being based on their social media usage.
• Clustering users based on usage patterns.
• Examining the impact of different platforms on users' emotions.

Attribution:

You can use this dataset ethically and responsibly in accordance with the MIT license for educational and research purposes. If you use this dataset in your work, a citation or reference to this dataset would be appreciated.