Research on the risk amplification mechanism of agricultural product quality and safety incidents in the network era:Grounded analysis based on value-added theory
With the rapid development of the Internet,agricultural product quality and safety incidents continue to be as-sociated and aggregated,fermented and spread through online media,which greatly affects public sentiment and attitude,and is prone to trigger collective irrational panic.In the network era,information diffusion and iteration present new fea-tures and trends.It is of great significance to strengthen the research on the risk amplification mechanism of agricultural product quality and safety incidents.Based on Smelser's value-added theory,combined with the"Earth pit pickled cab-bage"incident,this paper uses Python to obtain the original media data,conducts grounded coding analysis on the data,and builds a risk amplification mechanism model for agricultural product quality and safety incidents.Based on the coding results,six main categories of risk amplification of agricultural product quality and safety incidents are identified:struc-tural triggers,structural tension,generalized beliefs,(effective)organizational mobilization,social control,and risk amplification.The main categories are incorporated into the six factors of value-added theory,and the analysis shows that the risk amplification of incidents is based on the emergency as the demarcation point,which is divided into three stages:pre-accumulation,mid-buildup,and emergency treatment.The pre-accumulation and mid-buildup stages are mutually in-fluenced through multiple rounds of feedbacks,ultimately amplifying the risk of agricultural product quality and safety in-cidents.In the whole risk diffusion process,the network is the"social amplification station"for agricultural product qual-ity and safety incidents.The paper uses value-added theory to explore the complete process mechanism of risk amplifica-tion of agricultural quality and safety incidents in the network era based on macro and micro integration levels in detail,further improving the SARF research framework for risk amplification and providing a useful supplement for related re-search.
国家科技期刊平台
NSTL
万方数据
