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Presentation at 6th International AAAI Conference On Weblogs And Social Media
- 1. Measuring Global FoodSentiment One Tweet at a Time
- 3. * Why? CultureStatus Mood Place
- 4. Food is *political
- 5. Food is *political
- 6. * Food isemotional
- 7. Food is a * business
- 8. Food is an* emotional business
- 9. Food is ata tipping point *
- 10. Project Goal Barometerof food consumption + the related emotional responses amongst Twitter users Relate this to the wealth + obesity levels *
- 11. * Data “Ihad…..lunch” “I ate…..”
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- 20. *Insights o Majoritypositive sentiment
- 21. *Top 50 mostTweeted about Foods
- 22. Fast-food companies *dominate the food landscape Pic: the noun project
- 23. Meat: often tweeted* + high sentiment Pic: the noun project
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- 25. * Stark differencesbetween neighbours Zimbabwe: curried goat South Africa: lemon meringue pie Pic: Superfad the noun project
- 26. * Traces ofthe past Pic: the noun project
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- 29. * Credits www.foodmood.inwww.affectlab.org @natalie_dixon [email protected]
Editor's Notes
- #9 You can gauge the flavour of a city by its street food
- #10 Food consciousness, food issues, food consumerism has never had been more important obesity levels are set to reach record highs More than 40 million children under the age of five were overweight in 2010. Worldwide obesity has more than doubled since 1980.
- #14 Treemap data visualization: Foodstuffs are represented by blocks colour to denotes emotion and size of the blocks represents the volume of tweets for that foodstuff
- #18 Explore both popularity and sentiment of food for a country Visualize data for a point of time or interval Compare countries Search foods
- #23 Not all fast-food companies enjoy equal sentiment ratings in all countries
- #26 Stark comparisons between neighbours + food choices
- #27 Digital traces/ food history
- #28 As the dataset grows so researchers can ask questions about why some foods are more engaging than others…
- #29 FOOD ENGAGEMENT!