FoodMood: Measuring Global Food Sentiment One Tweet at a Time
Dixon, Natalie (Affect Lab Foundation) | Jakic, Bruno (AI Applied) | Lagerweij, Roderick (AI Applied) | Mooij, Mark (AI Applied) | Yudin, Ekaterina (Affect Lab Foundation)
Do Happy Meals really make us happy? Do salads make us blue? Is cake our comfort? FoodMood is an interactive data visualisation project that gives citizens a rare opportunity to engage and reflect, acknowledge, and understand the connection between emotion, obesity and food. The project explores the opportunities presented by the data-sharing world of today’s cities using global English-language tweets about food coupled with sentiment analysis. It aims to gain a better understanding of global food consumption patterns and its impact on the daily emotional well-being of people against the backdrop of country data such as Gross Domestic Product (GDP) and obesity levels. A key finding is that tweets can be used to find a relationship between certain foods, food sentiment and obesity levels in countries. Overall FoodMood shows a majority positive sentiment towards food. Other findings, although constantly evolving, indicate trends such as: globally meat enjoys a high sentiment rating and is often tweeted about; fast-food companies dominate the food consumption landscapes of most countries’ tweets although not all of them enjoy equal sentiment ratings across countries. Ultimately, FoodMood reveals a hidden layer of meaningful digital, social, and cultural data that provide a basis for further analysis.
Feb-22-2012
- Country:
- South America > Argentina (0.04)
- Asia > Vietnam (0.04)
- North America > United States
- California
- Santa Clara County > Stanford (0.04)
- San Diego County > San Diego (0.04)
- California
- Europe > Netherlands
- South Holland > Delft (0.04)
- Africa
- South Africa (0.05)
- Zimbabwe (0.04)
- Industry:
- Health & Medicine > Consumer Health (1.00)
- Consumer Products & Services (1.00)
- Education > Health & Safety
- School Nutrition (0.55)
- Technology: