Consumer online posts and content can help identify food safety concerns, and possibly reduce the risk of a foodborne illness, according to new research.
According to a paper published in December 2020 in the journal Risk Analysis, researchers implemented text mining techniques to use online media as a source of potential information for surveillance in the food industry. To do so, they gathered a large data set of consumer reviews from Amazon in which consumers posted about their experiences with grocery and canned goods products. In addition, they supplemented this data set with information from IWasPoisoned.com, a website where consumers can alert others to cases of food poisoning.
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