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Student Social Media Impact
Social Media and Posts
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About
This dataset, titled "Student Social Media & Relationships", offers anonymised records detailing students' social media behaviours and their corresponding life outcomes. It encompasses various countries and academic levels, focusing on crucial aspects such as usage intensity, preferred platforms, and relationship dynamics. Each row in the dataset represents an individual student's survey response, providing a cross-sectional snapshot ideal for statistical analysis and machine-learning applications The data was collected using questions adapted from validated scales, including the Bergen Social Media Addiction Scale and relationship conflict indices
Columns
- Student_ID: A unique integer identifier assigned to each survey respondent, used for de-duplication and tracking individual records without revealing personal information
- Age: The student's age in completed years at the time of the survey, useful for segmenting analyses by age group and controlling for developmental differences
- Gender: The student’s self-reported gender, recorded as "Male" or "Female", enabling demographic breakdowns in usage and outcome measures
- Academic_Level: The highest education level the respondent is currently enrolled in, categorised as "High School", "Undergraduate", or "Graduate", facilitating stratified analyses by academic stage
- Country: The student's country of residence where they completed the survey, allowing for cross-country comparisons of social media behaviours and their impacts
- Avg_Daily_Usage_Hours: The average number of hours per day the student spends on social media platforms, calculated from self-reported weekday and weekend usage estimates
- Most_Used_Platform: The social media platform where the student spends the most time (e.g., Instagram, Facebook, TikTok), used to examine platform-specific effects
- Affects_Academic_Performance: A binary indicator ("Yes"/"No" or "true"/"false") reflecting whether the student perceives their social media use as negatively impacting their academic performance
- Sleep_Hours_Per_Night: The respondent’s average nightly sleep duration in hours, provided to investigate correlations between screen time and sleep quality/quantity
- Mental_Health_Score: A self-rated integer from 1 (poor) to 10 (excellent) indicating overall mental well-being, allowing assessment of potential associations with social media habits
- Relationship_Status: The student’s current romantic relationship status, categorised as "Single", "In Relationship", or "Complicated", to explore social media’s impact on interpersonal dynamics
- Conflicts_Over_Social_Media: The number of arguments or disagreements the student reports having had with family, friends, or partners due to their social media use, serving as a proxy for social friction
- Addicted_Score: A composite score from 1 (low addiction) to 10 (high addiction) based on a standardised survey scale (e.g., Bergen Social Media Addiction Scale), quantifying the degree of problematic usage
Distribution
The dataset is typically provided as a data file, usually in CSV format . A sample file will be updated separately to the platform. The dataset contains 13 columns and currently includes 705 valid records . The volume of the dataset is configurable, with sample sizes such as 100, 500, or 1,000 records available based on research needs.
Usage
This dataset is ideal for various analytical applications, including:
- Correlation Studies: Examining associations between daily social media usage hours and mental health scores or sleep hours
- Predictive Modelling: Building classifiers to predict relationship conflicts based on usage patterns and platform types
- Clustering: Identifying user segments (e.g., "high-usage high-stress" vs. "moderate-usage balanced") across different countries It is particularly suitable for statistical analysis and machine-learning applications.
Coverage
- Population: Students aged 16–25 enrolled in high school, undergraduate, or graduate programmes
- Geography: Provides multi-country coverage, including but not limited to Bangladesh, India, USA, UK, Canada, Australia, Germany, Brazil, Japan, and South Korea
- Timeframe: Data was collected via a one-time online survey administered in Q1 2025
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is primarily intended for researchers, academics, and data scientists who are interested in:
- Analysing the impact of social media on student well-being and academic performance
- Developing predictive models related to social media usage and its outcomes
- Understanding demographic variations in social media habits and their effects
- Conducting statistical analyses to uncover correlations and patterns in student behaviour
Dataset Name Suggestions
- Student Social Media Impact
- Youth Digital Habits Survey
- Social Media & Student Life
- Academic & Relationship Data (Social Media)
- Global Student Social Media Survey
Attributes
Original Data Source:Student Social Media Impact
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