Research on Rural Poverty Alleviation Based on Big Data from the Perspective of Social Relations

Abstract

The current global Covid-19 epidemic is an uncertain factor affecting poverty alleviation. The application of big data technology to promote accurate poverty alleviation will help overcome the impact of Covid-19 epidemic and ensure the scientific and efficient completion of poverty alleviation. With the advent of the era of big data, the rural poverty problem also presents different characteristics from the past. The progress of Internet and information technology has brought great changes to social life. With the support of big data technology, applying big data information collection and data processing analysis to poverty alleviation can provide accurate and reliable data support for China's poverty alleviation work, and help to implement poverty alleviation measures more clearly, accurately and effectively and achieve poverty alleviation goals. Based on the perspective of social relations, this paper takes the accurate identification of rural poverty alleviation objects and prevention of returning to poverty as the research object, and puts forward the realization path of big data-driven precision poverty alleviation, aiming to provide some guidance for the theory and practice of precision poverty alleviation in China.