Research on User Behavior and Content Consumption Trends in the Era of New Media

Jianing Zhu

doi:10.54097/k34e0531

Authors

Jianing Zhu

DOI:

https://doi.org/10.54097/k34e0531

Keywords:

New media, User behavior, Content consumption, Personalization, Interactivity.

Abstract

This article aims to delve into the research on user behavior and content consumption trends in the era of new media, providing valuable insights into understanding contemporary cultural, economic, and social changes. Firstly, by analyzing the characteristics of user behavior in the new media era, it is revealed that user behavior exhibits features such as diversity, real-time interaction, and personalization, exhibiting strong interactivity in the digital environment. These characteristics reflect users' behavioral patterns and preferences in the digital landscape, significantly influencing content consumption. Secondly, the article explores the trends in content consumption during the new media era, including content personalization, diversification of content formats, and the rise of User-Generated Content (UGC). These trends not only reshape the way content is produced and disseminated but also profoundly impact user behavior and consumption patterns. Furthermore, the relationship between user behavior and content consumption is thoroughly examined, uncovering the interplay and influence between the two.

Downloads

Download data is not yet available.

References

Lu Zheng. (2013). A Reverse Thinking of Diverse Demands of the Public in the New Media Era. Editor's Friend, 9, 62-64.

Yao Peidong. (2021). Emotional Resonance in New Media User Social Interaction: A Case Study of WeChat's "Poke" Feature. New Media, 10, 28-30.

Yu Guoming & Li Huijuan. (2014). Transformation Path of Media Industry in the Big Data Era: An Analysis of Customized Content, Crowdsourced Production, and Cross-Border Integration Practice. Modern Communication (Journal of Communication University of China), 12, 1-5+11.

Liu Shichao. (2018). A New Perspective on Interpretation of Public Opinion: Analyzing New Media Events from the Perspective of Interaction Ritual Theory. Southeast, 10, 83-84.

Fan Jinhui, Shen Jiayi, & Liu Jianhong. (2011). Research on the Trend of TV Audience Content Consumption Demand and Industry Development. China Digital TV, 6, 67-70.

Zheng Yuanyuan. (2023). Research on Diversified Content Consumption Product Recommendation Method Based on Clustering and Reordering. Harbin: Harbin Institute of Technology.

Wang Zhiran, Wang Tiantian, Wu Jiangmeng, & Wang Ruoyu. (2024). The Impact of Social E-commerce UGC Sharing Recommendations on Consumer Purchase Intentions. China Market, 11, 121-125.

Zhou Limei & Wang Chunyan. (2024). Research on Data Mining of E-commerce Platform User Behavior and Consumer Behavior Prediction. Old Brand Marketing, 9, 18-20.

Ghose, A., & Han, S. (2011). User Content Generation and Usage Behavior on the Mobile Internet: An Empirical Analysis. Economics of Networks eJournal.