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Constructing a spatiotemporal situational awareness framework to sense the dynamic evolution of online public opinion on social media

Qingqing Li (School of Information Management, Wuhan University, Wuhan, China)
Ziming Zeng (School of Information Management, Wuhan University, Wuhan, China)
Shouqiang Sun (School of Information Management, Wuhan University, Wuhan, China)
Chen Cheng (School of Information Management, Wuhan University, Wuhan, China)
Yingqi Zeng (School of Information Management, Wuhan University, Wuhan, China)

The Electronic Library

ISSN: 0264-0473

Article publication date: 29 August 2023

Issue publication date: 6 September 2023

315

Abstract

Purpose

The paper aims to construct a spatiotemporal situational awareness framework to sense the evolutionary situation of public opinion in social media, thus assisting relevant departments in formulating public opinion control measures for specific time and space contexts.

Design/methodology/approach

The spatiotemporal situational awareness framework comprises situational element extraction, situational understanding and situational projection. In situational element extraction, the data on the COVID-19 vaccine, including spatiotemporal tags and text contents, is extracted. In situational understanding, the bidirectional encoder representation from transformers – latent dirichlet allocation (BERT-LDA) and bidirectional encoder representation from transformers – bidirectional long short-term memory (BERT-BiLSTM) are used to discover the topics and emotional labels hidden in opinion texts. In situational projection, the situational evolution characteristics and patterns of online public opinion are uncovered from the perspective of time and space through multiple visualisation techniques.

Findings

From the temporal perspective, the evolution of online public opinion is closely related to the developmental dynamics of offline events. In comparison, public views and attitudes are more complex and diversified during the outbreak and diffusion periods. From the spatial perspective, the netizens in hotspot areas with higher discussion volume are more rational and prefer to track the whole process of event development, while the ones in coldspot areas with less discussion volume pay more attention to the expression of personal emotions. From the perspective of intertwined spatiotemporal, there are differences in the focus of attention and emotional state of netizens in different regions and time stages, caused by the specific situations they are in.

Originality/value

The situational awareness framework can shed light on the dynamic evolution of online public opinion from a multidimensional perspective, including temporal, spatial and spatiotemporal perspectives. It enables decision-makers to grasp the psychology and behavioural patterns of the public in different regions and time stages and provide targeted public opinion guidance measures and offline event governance strategies.

Keywords

Acknowledgements

This work was supported by the National Social Science Fund of China (No. 21BTQ046).

Citation

Li, Q., Zeng, Z., Sun, S., Cheng, C. and Zeng, Y. (2023), "Constructing a spatiotemporal situational awareness framework to sense the dynamic evolution of online public opinion on social media", The Electronic Library, Vol. 41 No. 5, pp. 722-749. https://doi.org/10.1108/EL-05-2023-0134

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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