Impact of Social Media on Fast Food Consumption Habits Among Young Adults
Description
This dataset contains responses from 418 participants to a structured survey investigating the influence of social media on fast food consumption habits. It includes detailed information on demographics (age, gender, education), social media usage patterns (platforms, time spent, and engagement), exposure to fast food-related content, actual fast food consumption in the past 7 days, and participants’ perceptions of social media’s impact on eating behaviors. Several questions allow multiple selections, capturing a comprehensive view of participants’ preferences and behaviors. Dataset Overview Rows (Responses): 418 Columns (Questions): 17 Type: Survey data on demographics, social media usage, and its influence on fast food consumption. Column Groups Demographics: Age Gender Education Social Media Usage: Platforms used regularly Average time spent per day Most used platform Exposure to Fast Food Content: Frequency of seeing fast food content Feelings after seeing content Have they purchased fast food after seeing it on social media Platform influencing purchase Actual Fast Food Consumption: Times eaten fast food in past 7 days Whether social media influenced the recent consumption Types of fast food consumed Perception & Influence: Do they believe social media affects food choices Rating (1–5) of how much social media influences teenagers Optional comments Data Type Notes Most columns are categorical (e.g., "Yes", "No", "Sometimes"). Q15 is numeric (1–5 scale). Some questions have multi-select responses, separated by ; (e.g., platforms, fast food types).
Files
Steps to reproduce
Survey Design: Develop a questionnaire divided into sections: Demographics, Social Media Usage, Exposure to Fast Food Content, Actual Fast Food Consumption, and Perception & Influence. Include both single-choice, multiple-choice, Likert-scale, and open-ended questions. Participant Recruitment: Target young adults and teenagers through online platforms (e.g., Facebook, Instagram, WhatsApp groups, student communities). Ensure voluntary participation and anonymity. Data Collection: Distribute the questionnaire using Google Forms or similar online tools. Allow responses over a set period (e.g., 2–3 weeks). Data Export: Download responses as a CSV file. Maintain raw data (including timestamps and multi-select options) for reproducibility. Data Cleaning (Optional): Standardize categories (e.g., merge "more than 8-9 hours" with "more than 3 hours"). Split multi-select responses into individual columns if needed. Handle missing or invalid entries. Data Analysis: Perform descriptive and inferential statistics (e.g., frequency tables, chi-square tests). Analyze relationships between social media usage and fast food consumption.
Institutions
- State University of Bangladesh
- Dhaka International University