Author(s)

Boya Wang ¹

Affiliation(s)

¹ School of Economics and Trade, Hao Jing College of Shaanxi University of Science and Technology, Xi'an, Shaanxi, 712046, China

Corresponding Author

Boya Wang

ABSTRACT

In recent years, live streaming e-commerce has experienced rapid development, with the number of live streaming platforms and their audience sizes growing exponentially. Online shopping and live streaming have greatly altered people's purchasing behavior and strengthened their willingness to buy. However, concurrently, the term "consumerism trap" has gained prominence, suggesting that consumers may fall into traps while participating in live shopping, prompting reflections on the relationship between live shopping and consumerism. This paper attempts to conduct a word cloud analysis using text information obtained through Python web scraping technology from Weibo. The goal is to remind consumers to make rational purchases and protect their legitimate rights, and to provide businesses with insights to create a favorable environment for live streaming e-commerce, influencing consumer purchasing decisions and promoting rational buying.

KEYWORDS

Live Streaming E-Commerce, Consumerism Trap, Consumer Purchasing Decisions

CITE THIS PAPER

Boya Wang, Word Cloud Analysis of Live Shopping User Comments Based on Python Web Crawling Technology. Information Systems and Economics (2024) Vol. 5: 26-31. DOI: http://dx.doi.org/10.23977/infse.2024.050204.

REFERENCES

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