Initial Conceptualization Results.

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，对民众的生命财产安全构成严重威胁，亦引发全社会广泛热议。若相关部门在事件处置过程中互相推诿责任或欺骗公众，则会进一步催生网络舆情，进而对社会稳定与政府公信力造成负面影响。为探究食品安全网络舆情的生成机制，本文以中国江西省某高校突发的“鼠头鸭脖”事件为研究案例，将文本挖掘与扎根理论（Grounded Theory）相结合。首先，采用潜在狄利克雷分配（Latent Dirichlet Allocation，简称LDA）主题聚类模型，识别出舆情发酵阶段公众关注的六大核心议题，并统计各议题下的主题词与TF-IDF（词频-逆文档频率，Term Frequency-Inverse Document Frequency）值较高的词汇。在此基础上，运用扎根理论方法开展三级编码工作，进而构建起网络舆情生成模型。研究发现，国家主体、公众回应、价值取向与新闻媒体这四大核心类别，在网络舆情的生成过程中发挥着关键作用。上述研究结论不仅可为我国食品安全舆情治理提供参考借鉴，亦可为其他国家的舆情管理工作提供思路，尤其是在应对具有普遍意义的食品安全事件时。