The Interactive Logic of Weibo Anti-corruption from a Vertical Accountability Perspective:A Machine-Learning Analysis of Big Data
Cyber anti-corruption,an important supplementary anti-corruption channel in China,has recently developed new features.The problem exposed is increasingly complex and multifaceted.Neti-zens become more polarized,and it is easy to trigger social resentment.While cyber anti-corruption has been a new challenge for the government,little is known about its new development and features.We employ a vertical accountability perspective and a machine-learning approach to analyze big data from Weibo texts,by analyzing the Beiji Nianyu case.Local government's quick responses can relieve citi-zens'concerns and attention during the opinion expression period.Nevertheless,in the second stage,lo-cal government's implicit responses may trigger citizens'dissatisfaction and irrational behaviors,while central media may proactively interact with citizens.Central media strengthen the interactions with citi-zens at the peak,increasing local government's responsiveness.It uncovers the complicated interactions of the central and local governments and citizens,and provides practical implications for local govern-ments to enhance their governance in cyber anti-corruption.
Weibo anti-corruptiongovernment responsivenesssocial accountabilitybig data
NETL
NSTL
万方数据
