  We study the language of food on Twitter during the pandemic lockdown in the
United States, focusing on the two month period of March 15 to May 15, 2020.
Specifically, we analyze over770,000 tweets published during the lockdown and
the equivalent period in the five previous years and highlight several worrying
trends. First, we observe that during the lockdown there was a notable shift
from mentions of healthy foods to unhealthy foods. Second, we show an increased
pointwise mutual information of depression hashtags with food-related tweets
posted during the lockdown and an increased association between depression
hashtags and unhealthy foods, tobacco, and alcohol during the lockdown.
