Author(s)

Ling Wang

Corresponding Author

Ling Wang

Abstract

Based on the analysis of big data, this paper makes an in-depth study on the audience behavior of news communication, and puts forward corresponding optimization strategies. Through the analysis of large-scale data sets, this paper explores the behavior characteristics, influencing factors and development trend of the audience in the process of news dissemination. It is found that the diversity and complexity of the audience's behavior patterns in news communication are influenced by many factors, including the lexical choice of news headlines, emotional tendency, release time and other factors, as well as the user's personal characteristics, social network structure, information dissemination path and other factors. In view of these findings, the paper puts forward a series of optimization strategies, including optimizing news content, accurately positioning audience groups, strengthening social interaction, etc., aiming at improving the effect of news communication, meeting audience needs and promoting the healthy development of news media. This study provides an important reference for deepening the understanding of the audience behavior of news communication and improving the effect of news communication.

Keywords

Big Data; Audience Behavior; News Communication; Optimization Strategy