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International Conference on Human Centered Computing

HCC 2018: Human Centered Computing pp 281–292Cite as

Linguistic Signatures of Impulsive Buying Consumer Based on Microblog

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11354))

Abstract

Since the systematic differences in language is stable and unique, the language in social media can be harnessed to create a valid measure of psychological traits by computer techniques. Combining computer technology and psychology theory may provide supplement for previous empirical research. This paper focused on the linguistic features of impulse buying users by using lexical analysis on microblog text. We analyzed the linguistic features of 321,610 microblog texts from 550 Weibo volunteers. The regression result indicated that there were obvious differences in the linguistic features of impulsive buyers. Systematic differences in the language use, especially in the impulse consumer, have received attention in the industry. The method of distinguishing impulsive consumers by the difference of linguistic features is convincing, especially for those who did not have any purchase records. In this paper, we proposed a new and valid strategy to study impulsive consumer.

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Author information

Authors and Affiliations

  1. Institute of Psychology of the Chinese Academy of Sciences, Beijing, 100101, China

    Yujuan Han, Mingming Liu & Tingshao Zhu

  2. Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China

    Yujuan Han, Mingming Liu & Tingshao Zhu

Authors
  1. Yujuan Han
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  2. Mingming Liu
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  3. Tingshao Zhu
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Corresponding author

Correspondence to Tingshao Zhu .

Editor information

Editors and Affiliations

  1. South China Normal University, Guangzhou, China

    Yong Tang

  2. Wuhan University of Technology, Wuhan City, China

    Qiaohong Zu

  3. CINVESTAV, Mexico City, Mexico

    José G. Rodríguez García

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Han, Y., Liu, M., Zhu, T. (2019). Linguistic Signatures of Impulsive Buying Consumer Based on Microblog. In: Tang, Y., Zu, Q., Rodríguez García, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_28

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  • DOI: https://doi.org/10.1007/978-3-030-15127-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15126-3

  • Online ISBN: 978-3-030-15127-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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