To explore the subdomains and attention allocation patterns within digital rural policies,this study aims to aid in understanding government efforts to promote digital rural development.Such understand-ing can further contribute to facilitating sustainable progress in digital rural areas.Based on 56 policy texts is-sued by central and provincial governments regarding digital rural policies,we employed the Latent Dirichlet Allocation(LDA)model to identify digital rural policy topics.Furthermore,we constructed an integrated LDA2Vec model,combining LDA topic modeling with Word2Vec,to analyze attention allocation dynamics.Additionally,we utilized the Attention Topic Model(ATM)to investigate differences in attention allocation across policy subjects.The digital rural policy topics cover six areas,including agricultural and rural big data applications.Attention allocation significantly focuses on the promotion and application of digital technologies in agriculture,showing a consistent upward trend.However,attention to technology-enabled rural govern-ance and social benefits remains relatively limited.While the central government maintains balanced attention across various digital rural domains,provincial governments exhibit a distinct"technology"bias.Different party and government departments demonstrate distinctive collaborative attention patterns.
Digital Rural AreasGovernment Attention AllocationLDA ModelLDA2Vec ModelATM Model
NETL
NSTL
万方数据
