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  • 标题:Research on rumors surrounding food safety based on information source differences (a review)
  • 本地全文:下载
  • 作者:SULAIMAN Mohammed Ali Bait Ali ; SALMAN Rabia ; SHABBIR Muhammad Salman
  • 期刊名称:Food Science and Technology (Campinas)
  • 印刷版ISSN:0101-2061
  • 电子版ISSN:1678-457X
  • 出版年度:2022
  • 卷号:42
  • DOI:10.1590/fst.79921
  • 语种:English
  • 出版社:Sociedade Brasileira de Ciência e Tecnologia de Alimentos
  • 摘要:Food is a basic human right since it is necessary for survival. Unsafe food threatens billions of people throughout the world. Every year, hundreds of thousands of people grow sick and die. Microbial, chemical, personal, and environmental hygiene are all issues that the food chain faces from farm to fork/plate. Human tragedies and economic disasters have been reported in the past as a result of purposeful or inadvertent personal behavior and government inability to ensure food safety and quality. The issue of food safety has gotten a lot of press. As a result, a Food Safety Information Platform (FSIP) based on machine learning and open data with a Chatbot based on cloud computing (MLODCCC) architecture was developed, which includes a nice Facebook hyperlink and chatbot interface for locating trustworthy food safety knowledge. Rumors about the safety of food goods instill fear in people, leading to a broad boycott and, as a result, significant economic loss. This study looked into the function of rumors among friends. The findings suggested that people choose to use news media information in interaction with friends because it is seen to be more reliable than other resources.
  • 关键词:rumor;reputational damage for food;risk;information supply functions
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