Modern Social Science Research

Along with the rapid development of globalization and digitalization, the overseas translation and introduction of contemporary Chinese literature has thus entered a brand-new ecological landscape. The rise of big data has quietly permeated all links of translation and introduction, propelling it into an unprecedented historical tide of development. Therefore, this research focuses on the application of big data in key links such as literary translation and market promotion, collects data regarding reader feedback and cultural adaptation, and combines existing research findings and practical cases to analyze how the data-driven model breaks the bottlenecks encountered in traditional translation and introduction. In this way, the construction of an accurate translation model transforms the traditional single communication strategy. By analyzing the core logic behind the improvement of literary communication efficiency and influence through big data, this research also puts forward countermeasures and suggestions for the current problems such as technical barriers and cultural discount. It provides certain support for the international communication of contemporary Chinese literature, as well as theoretical references and practical directions for its implementation.

Big data; Contemporary Chinese literature; External translation and dissemination path