Using tweets emotions to predict real-time food insufficiency
UNIVERSITY PARK, Pa., April 12, 2022 /PRNewswire-PRWeb/ -- The sentiments and emotions expressed in tweets on Twitter can be used in real time to assess where supply chain disruptions due to a pandemic, war or natural disaster may lead to food shortages, according to researchers at Penn State and the Hamad Bin Khalifa University in Qatar. They found that food security-related tweets that expressed anger, disgust or fear were strongly correlated with actual food insufficiency in certain U.S. states early in the COVID-19 pandemic. These findings can potentially be used to develop a low-cost early warning system for identifying where food-security interventions are most needed, according to the researchers.
- They found that food security-related tweets that expressed anger, disgust or fear were strongly correlated with actual food insufficiency in certain U.S. states early in the COVID-19 pandemic.
- Goetz said that rather than looking only at the number of tweets related to food insufficiency, he and his colleagues wanted to know how people actually felt about their food situation.
- Using artificial intelligence, they identified the sentiments and emotions associated with the tweets, which allowed them to separate tweets expressing concerns about the food supply from those expressing relief or contentment.
- Tweets that expressed negative emotions such as anger, disgust and fear were strongly correlated with actual food insufficiency problems in certain states.