Abstract
The purpose of this paper is to explore the emotional composition, psychological characteristics, and the consistency between information behavior and attitude of social media users, and to provide reference for online public opinion monitoring, topic detection, and emotional situation evaluation. Based on big-five personality theory and self-difference theory, this paper takes 12,151 Twitter texts during Hurricane Maria as the analysis objects, extracts the personality characteristics of the texts based on convolution neural network, and analyzes the subjectivity and emotional polarity of the texts by Python. Based on the experimental results, this paper analyzes the psychological characteristics and information needs reflected by social media users' information behavior in disaster environment and further verifies and expounds the reasons for the inconsistent information behavior and attitude of social media users in disaster environments.
Highlights
With the popularity of mobile networks, social media has developed rapidly, people are becoming frequently interested in expressing themselves on social media (Zhou and Jing, 2020),and the academic research on users’ psychology has extended to social media
Through the experimental results of this paper, combined with the Big-Five personality theory, we can find that openness accounts for the highest proportion in the personality characteristics of postdisaster Twitter messages, and the higher proportion of these characteristics indicates that individuals are imaginative and seek change, and have the characteristics of imagination, aesthetics, emotion, diversity and creativity, indicating that social media users actively search and disseminate disaster information after the disaster, and the research results show that neuroticism accounts for the lowest proportion
Through the analysis of emotional polarity characteristics of Twitter texts during Hurricane Maria, it can be found that high-forwarding Twitter texts and ordinary Twitter texts show similar proportions, and the overall performance is that neutral texts account for only about 13% of subjective texts, and the rest are emotional texts, which indicates that social media users tend to show emotional characteristics when expressing their views in disaster environment, while tweets with positive emotional characteristics are dominant in emotional texts
Summary
With the popularity of mobile networks, social media has developed rapidly, people are becoming frequently interested in expressing themselves on social media (Zhou and Jing, 2020),and the academic research on users’ psychology has extended to social media. (Gan Chunmei and Liang Xubin, etc., 2018), and the characteristics of social media users have gradually attracted the attention of the academic community. Network events expand their influence through social media platforms, and as social media users, they have strong sociality (Zhang Baosheng and Zhang Qingpu, 2018). The academic research on emotional communication in social media environment shows that social media users are emotional in the process of discussing and spreading network events, and are influenced by their cultural background. Frustration, joy and disgust are more likely to attract the attention of social media users in the process of spreading network events (TenHouten, 2016)
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