Reddit's Appetite: Predicting User Engagement with Nutritional Content
Gabriela Ozegovic, Thorsten Ruprechter, Denis Helic

TL;DR
This study analyzes how nutritional content influences user engagement on Reddit food posts, finding that higher calorie density correlates with increased comments and engagement.
Contribution
It introduces a large-scale analysis of nutritional factors affecting online food content engagement and demonstrates the predictive value of nutritional features using machine learning.
Findings
Nutritional content improves engagement prediction accuracy by nearly 5%.
Higher calorie density is positively associated with user engagement.
Analysis of half a million posts reveals nutritional differences between engaging and non-engaging content.
Abstract
Food communities on online platforms enjoy great popularity among social media users. Due to the far-reaching consequences of food-related content on user eating behavior, recent research has studied the factors that drive user online engagement with food. While most of these studies have focused on visual aspects of food content in social media, only a few initial studies have explored the impact of nutritional content on user engagement. In this paper, we set out to close this gap and analyze food-related posts on Reddit, focusing on the association between the calories and macronutrients of a meal and engagement levels, particularly the number of comments. To that end, we collect and analyze almost half a million food-related posts and uncover differences in nutritional content between engaging and non-engaging posts. Moreover, we train a series of XGBoost models, and evaluate the…
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Taxonomy
TopicsDigital Marketing and Social Media
