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. 2023 May 26;9(6):e16312.
doi: 10.1016/j.heliyon.2023.e16312. eCollection 2023 Jun.

Fine-grained detection on the public's multi-dimensional communication preferences in emergency events

Qingqing Zhou  1   2
Affiliations

Fine-grained detection on the public's multi-dimensional communication preferences in emergency events

Qingqing Zhou. Heliyon. .

Abstract

With the rapid development of Internet technologies, the public can participate in the information communication of emergency events more conveniently and quickly. Once an emergency occurs, the public will immediately express and disseminate massive information about the causes, processes and results of the emergency. In the process of information communication, the public often adopts diversified communication modes, and then shows differential communication preferences. The detection of the public's communication preferences can more accurately understand the information demands of the public in events, and then contribute to the rational allocation of resources and improve the processing efficiency. Therefore, this paper conducted finer-grained mining on the public's online expressions in multiple events, so as to detect the public's communication preferences. Specifically, we collected the public's expressions related to emergency events from the social media and then we analyzed the expressions from multiple dimensions to obtain the corresponding communication features. Finally, based on the comparative analysis of diversified communication features, static and dynamic communication preferences were obtained. The experimental results indicate that the public's communication preferences do exist, which is universal and consistent. Meanwhile, constructing a better social environment and improving people's livelihood are the fundamental strategies to guide public opinion.

Keywords: Anomie detection; Emergency event; Information communication preference; Public opinion; Sentiment analysis; Topic extraction.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors have no interests to declare.

Figures

Fig. 1
Fig. 1
Framework of user’ communication preference analysis in multiple emergency events.
Fig. 2
Fig. 2
Analysis on objective communication and subjective communication.
Fig. 3
Fig. 3
Analysis on normative communication and anomic communication.
Fig. 4
Fig. 4
Explicit communication and implicit communication.
Fig. 5
Fig. 5
Statistics of explicit communication and implicit communication.
Fig. 6
Fig. 6
Objective communication and subjective communication.
Fig. 7
Fig. 7
Normative communication and anomic communication.
Fig. 8
Fig. 8
Time based explicit communication and implicit communication.
Fig. 9
Fig. 9
Time based sentiment intensities.
Fig. 10
Fig. 10
Time based normative communication and anomic communication.
Fig. 11
Fig. 11
Time based communication topics.
Fig. 12
Fig. 12
Correlations of the public's multi-dimensional communication preferences.
Fig. 13
Fig. 13
Subdivision of explicit communication behaviors of the public in emergencies.
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