Cross-Cultural Communication of Regional Images Based on Multimodal Discourse Analysis and Network Security

Abstract

Numerous evaluation methods are used as effective indicators for the cross-cultural communication of a regional image. However, because these indicators are primarily in a foreign cultural situation, it is challenging to measure their attitudes and cognitions across geographic distances and cultural differences. This challenge motivated us to combine cultural communication methods and modern location service technology to carry out regional image communication research. First, this article examines the basic process of cross-cultural communication and the generation of regional images from an information transmission and network security perspective. It combines multimodal discourse to analyze influencing factors and establishes a hierarchical model of the cross-cultural communication indicator system. Secondly, based on the location-based service (LBS), this article adds scene information to develop a user tendency model. This model effectively handles the conversion between two-dimensional scoring space and three-dimensional tendency space and can adapt to the short-term changes of users' tendency. The experimental results verify that the location-based e-commerce recommendation algorithm proposed in this paper can better solve information overload and obtain a significant recommendation effect.