Performance Landscape: The Relationship between Technology and Society under the Influence of Social Media

Abstract

In the era of big data, the massive public opinion data on social media has challenged the traditional top-down framework analysis methods. In 2022, Fudan University published the core teaching material of network and new media communication, Computational Public Opinion in the Era of Big Data: Theories, Methods and Cases. In addition to analyzing the challenges faced by the traditional framework theory, the authors Zhou Baohua and Liang Hai also introduce how to use network analysis methods to cope with the transformation of social relations increased by technological progress. The data of CNNIC's 52nd report revealed that China has driven the whole people to go online, and social media is an important carrier for empty-nest youth to fight against weak localization. Therefore, how empty-nest youth use social media to become citizens, localization and family has become a landscape worthy of attention. By using the data of "Investigation on the use of social media by empty Nest Youth" from 2021 to 2023, this paper focuses on the degree of weak localization resistance of social networks and finds that the short video content produced is not only determined by technology or social factors, but a new communication scene jointly constructed by technology and society. In view of the "aphasia" characteristic of the vulnerable groups using social media in the previous research on rural communication, this paper puts forward corresponding countermeasures and suggestions from three perspectives: ideological and political education, intergenerational support and digital inclusion.