FoodMood: Measuring Global Food Sentiment One Tweet at a Time
| Autor: | Natalie Dixon, Bruno Jakic, Roderick Lagerweij, Mark Mooij, Ekaterina Yudin |
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| Rok vydání: | 2021 |
| Zdroj: | Proceedings of the International AAAI Conference on Web and Social Media. 6:2-7 |
| ISSN: | 2334-0770 2162-3449 |
| DOI: | 10.1609/icwsm.v6i5.14221 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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