Using Twitter data for consumer research: The Peruvian's consumer perspective on short food supply chains

Abstract

Twitter is nowadays an excellent tool for gathering user's perceptions on food choices and consumption. Thus, by analyzing consumers’ tweets, we have studied their points of view regarding the agri-food short supply chain which is supported by the “De la Chacra a la Olla” Peruvian programme. Sentiment analysis was used on the consumers’ tweets along with the Naïve Bayes technique. A total of 1,223 tweets posted between January 2014 and July 2020 were obtained. Our initial findings were that consumers tweets were mainly influenced by context. Furthermore, we conclude that tweets show only informative content related to time and place. Further research is needed to state if the “De la Chacra a la Olla” Peruvian programme is perceived by the consumers as such.