Research on Predicting Social Media User Communication Behavior Based on LIWC from the Perspective of Psychological Language

DOI

10.2991/978-2-38476-277-4_38How to use a DOI?

Keywords

communication behavior; formatting; social media; information content; psycholinguistic

Abstract

In major emergencies, social media has accelerated the irrational dissemination of online public opinion. As the most important user information behavior, retweeting indicates the development trend of network public opinion to a large extent. However, existing research has paid little attention to the relationship between psychological language use and communication behavior contained in the information content published on social media. This study theoretically expands the application scenario of psycholinguistics in emergency situations, and also provides reference significance for the government and emergency management departments at all levels to effectively guide public opinion in emergencies. Taking Tianjin Port explosion incident as an example, this paper studies the impact of social media users’ psychological process on communication behavior based on text analysis tool LIWC. By constructing VAR vector autoregressive model and conducting Granger causality test, the influential factors of social media communication behavior are determined from the psycholinguistic perspective. Furthermore, impulse response function is used to analyze the propagation behavior dynamically. According to the results of empirical research, emotional process words, perceptual process words, social process words and physiological process words all have a certain predictive effect on the communication behavior of social media users.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chuanlin Huang
AU  - Yanxia Lu
PY  - 2024
DA  - 2024/09/02
TI  - Research on Predicting Social Media User Communication Behavior Based on LIWC from the Perspective of Psychological Language
BT  - Proceedings of the 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024)
PB  - Atlantis Press
SP  - 319
EP  - 330
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-277-4_38
DO  - 10.2991/978-2-38476-277-4_38
ID  - Huang2024
ER  -