立场与情绪视角下科技黑天鹅事件舆情风险感知研究——以ChatGPT事件为例

Public Sentiment Risk Perception of Technology Black Swan Event from the Perspective of Stance-Emotion:A Case Study of ChatGPT Event

在当前科技黑天鹅事件频发的背景下,公众舆情的有效情报对于预警、监测和引导科技舆情至关重要。应用大语言模型和预训练模型对舆情数据进行立场分析、情绪标注和主题挖掘,并结合社会冲突理论,从立场与情绪的角度深入分析科技黑天鹅事件可能引发的舆情风险。研究发现,公众对新技术持谨慎态度,主要担忧集中在伦理道德和就业压力上,这些担忧可能引发社会不安、加剧贫富分化。相较于一般舆情,科技舆情具有专业性、全球性特征以及对伦理道德的深远影响,其潜在风险更为突出。

Against the backdrop of frequent technology black swan events,effective intelligence from public sentiment is crucial for early warning,monitoring,and guiding technological public sentiment.This article applies large language models and pre-trained models to conduct stance analysis,emotion labeling,and topic mining on public sentiment data.Furthermore,by integrating social conflict theory,it provides an in-depth analysis of the potential risks of public sentiment triggered by technology black swan events from the perspectives of stance and emotion.The study finds that the public maintains a cautious attitude towards new technologies,with primary concerns focused on ethical and moral issues as well as employment pressure,which could lead to social unrest and exacerbate wealth disparity.Compared to general public sentiment,technological public sentiment has more prominent potential risks due to its professional nature,global characteristics,and profound impact on ethics and morality.