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User Social Media Engagement Analytics
Social Media and Posts
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About
This dataset, known as the "Time-Wasters on Social Media" dataset, offers a detailed insight into user behaviour and engagement with various social media platforms. It captures attributes vital for analysing the impact of social media on users' time and productivity. The dataset is artificially created using synthetic data techniques to simulate real-world social media usage patterns for research and analytical purposes. It aims to shed light on the darker side of social media consumption, focusing on aspects that contribute to time wastage.
Columns
- UserID: A unique identifier assigned to each user.
- Age: The age of the user.
- Gender: The gender of the user.
- Location: The geographical location of the user.
- Income: The annual income of the user.
- Debt: Indicates if the user is in debt or not.
- Owns Property: Specifies whether the user owns any property (Yes/No).
- Profession: The profession or job title of the user.
- Demographics: Additional demographic information about the user, such as whether they live in a Rural or Urban area.
- Platform: The social media platform used by the user (e.g., Facebook, Instagram, TikTok).
- Total Time Spent: The total time the user has spent on the platform.
- Number of Sessions: The number of times the user has had sessions on the platform.
- Video ID: A unique identifier for each video watched.
- Video Category: The category of the video watched (e.g., Entertainment, Gaming, Pranks, Vlog).
- Video Length: The length of the video watched.
- Engagement: The level of engagement of the user with the video (e.g., Likes, Comments).
- Importance Score: A score representing the perceived importance of the video to the user.
- Time Spent On Video: The amount of time the user spent watching a specific video.
- Number of Videos Watched: The total number of videos watched by the user.
- Scroll Rate: The rate at which the user scrolls through content.
- Frequency: How frequently the user logs into the platform (e.g., Evening, Night).
- Productivity Loss: The amount of productivity lost due to time spent on social media.
- Satisfaction: The satisfaction level of the user with the content consumed.
- Watch Reason: The reason why the user watched the video (e.g., Entertainment, Information, Habit, Boredom).
- DeviceType: The type of device used to access the platform (e.g., Mobile, Desktop, Smartphone, Tablet).
- OS: The operating system of the device used (e.g., Android, iOS).
- Watch Time: The specific time of day when the user watched the video.
- Self Control: The user's self-assessed level of self-control while using the platform.
- Addiction Level: The user's self-assessed level of addiction to social media.
- Current Activity: The activity the user was engaged in before using the platform (e.g., At home, At school).
- ConnectionType: The type of internet connection used by the user (e.g., Wi-Fi, Mobile Data).
Distribution
The dataset is provided in a CSV format and has a file size of 171.79 kB. It includes 31 distinct columns and consists of 1000 records, with no missing or mismatched values across all fields. This dataset has been artificially generated to simulate social media usage patterns.
Usage
This dataset can be utilised for several analytical and research purposes, including:
- Analysing patterns in social media usage behaviour.
- Understanding demographic differences in platform engagement.
- Examining the impact of social media on user productivity.
- Developing strategies aimed at improving user engagement and satisfaction on platforms.
- Studying the correlation between social media usage and various demographic factors.
Coverage
The dataset's geographic coverage includes locations such as India (23% of users), the United States (17% of users), and other various regions globally (60% of users). Demographically, it covers users with ages ranging from 18 to 64 years, with a gender distribution of 51% Male, 32% Female, and 16% Other. Annual incomes vary from approximately £20,100 to £99,700. User professions include students (25%) and waiting staff (19%), among others. Users are split between rural (75%) and urban (25%) demographics. The 'Watch Time' column captures specific times of day when videos were watched, with data entries covering 8th and 9th July 2024.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
This dataset is particularly valuable for:
- Researchers: For in-depth studies on digital habits, time management, and social media's societal impact.
- Marketers: To understand user engagement patterns and tailor content strategies more effectively.
- Social Scientists: For exploring the nuances of social media consumption and its effects on various demographic groups.
Dataset Name Suggestions
- Social Media Time Trap Data
- Digital Productivity Loss Dataset
- User Social Media Engagement Analytics
- Social Media Consumption Behaviour
- Time-Wasters on Social Media Analysis
Attributes
Original Data Source: User Social Media Engagement Analytics
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