What Food Do We Tweet about on a Rainy Day?
This research incrementally contributes to understanding food consumer choices and perceptions using social network data.
The study analyzed how weather conditions influence food-related tweeting in Latvia over a decade, finding correlations between specific weather factors and food information sharing, and automatically classified tweet sentiment changes based on weather.
Food choice is a complex phenomenon shaped by factors such as taste, ambience, culture or weather. In this paper, we explore food-related tweeting in different weather conditions. We inspect a Latvian food tweet dataset spanning the past decade in conjunction with a weather observation dataset consisting of average temperature, precipitation, and other phenomena. We find which weather conditions lead to specific food information sharing; automatically classify tweet sentiment and discuss how it changes depending on the weather. This research contributes to the growing area of large-scale social network data understanding of food consumers' choices and perceptions.