【摘要】 [目的/意义]探究舆论、司法与立法之间的演进规律，建构舆情治理的司法、立法反馈方案。[方法/过程]文章以“陆勇代购抗癌药品案”“长春长生假疫苗案”为样本提取舆情数据，采用SnowNLP方法、逻辑回归模型（LR）和梯度提升决策树（GBDT）的集成模型，对舆情情感特征和内容特征进行定量研究。将研究结论与利用ChatGLM、ERNIE 3.0预训练语言模型抽取出的刑事一审生效判决文本信息整合对接，分析网络舆情对司法及立法产生的影响。[结果/结论]在药品安全事件中，存在社会舆论率先影响司法调整，进而以司法实践推动立法回应的趋势，呈现出“舆论—司法—立法”的阶梯式演进规律。更多还原

【Abstract】 [Purpose/significance]Drug safety has a significant responsibility and is related to people’s life and health.Through the network public opinion of typical drug safety incidents, judicial data of drug crime system, and evidence of actual legislative adjustment, the evolution law between public opinion, justice and legislation was explored.[Method/process]Taking the case of Lu Yong purchasing anti-cancer drugs and the case of Changchun Changsheng fake vaccine as examples, the public opinion data related to the events on Sina Weibo were extracted, and the SnowNLP method, integrated model based on logistic regression model(LR) and gradient lifting decision Tree(GBDT)were used to conduct quantitative research on the emotional characteristics and content characteristics of public opinion. At the same time, the effective judgment of the first instance of drug crimes was collected, and the big data information of judicial text was extracted by using ChatGLM and ERNIE 3.0 pre-trained language model. The above "public opinion-judicial" big data analysis results are integrated and docking, and the impact of online public opinion on judicial practice and legislation is analyzed. [Result/conclusion] In drug safety incidents, there is a trend that public opinion takes the lead in affecting judicial adjustment, and then judicial practice promotes legislative response, showing the law of evolution of "public opinion, judicature and legislation".更多还原