Yang Wei, Pei Jiayin, Lin Zheyu
School of Business, Jiangnan University, Wuxi, Jiangsu Province, China.
PLoS One. 2025 Jul 28;20(7):e0324876. doi: 10.1371/journal.pone.0324876. eCollection 2025.
In recent years, the frequent occurrence of food safety incidents has posed a serious threat to people's lives and properties, and triggered heated discussions in the whole society. If the relevant departments shirk each other's responsibilities or deceive the public in handling the incident, it will further lead to the generation of network public opinion, which will have an impact on the stability of the society and the credibility of the government. In order to study the generation of food safety network public opinion, this article takes the sudden "mouse head and duck neck" incident in a university in Jiangxi Province, China as an example, and combines text mining with grounded theory. Firstly, the LDA topic clustering model is used to identify six main concerns (topics) of the public during the public opinion period, and the topic words and words with high TF-IDF values under each topic is counted. Based on this, the grounded theory method is used for three-level coding, and then a network public opinion generation model is constructed. It was found that the four main categories of national subjects, public's responses, value orientations, and news media play an important role in the generation process of network public opinion. These findings not only provide a reference for the governance of food safety public opinion in China, but also shed light on public opinion management in other countries, especially when responding to food safety incidents of general significance.
近年来，食品安全事件频发，对人民生命财产构成严重威胁，引发全社会热议。若相关部门在处理事件时相互推诿或欺骗公众，将进一步引发网络舆情，影响社会稳定和政府公信力。为研究食品安全网络舆情的生成，本文以我国江西省某高校突发的“鼠头鸭脖”事件为例，将文本挖掘与扎根理论相结合。首先，利用LDA主题聚类模型识别舆情期间公众的六大主要关注点（主题），并统计各主题下的主题词及TF-IDF值较高的词汇。在此基础上，运用扎根理论方法进行三级编码，进而构建网络舆情生成模型。研究发现，国家主体、公众反应、价值取向和新闻媒体四大类在网络舆情生成过程中发挥着重要作用。这些研究结果不仅为我国食品安全舆情治理提供参考，也为其他国家的舆情管理提供启示，尤其是在应对具有普遍意义的食品安全事件时。
