2020
DOI: 10.1108/idd-10-2019-0074
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Emotional communication analysis of emergency microblog based on the evolution life cycle of public opinion

Abstract: Purpose Microblogging is an important channel used to disseminate online public opinion during an emergency. Analyzing the features and evolution mechanism of online public opinion during an emergency plays a significant role in crisis management. Design/methodology/approach This paper uses the event of Hurricane Irma and combines it with the life cycle of online public opinion evolution to understand the effect of different types of emotional (joy, anger, sadness, fear, disgust) microblogs (tweets) on infor… Show more

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Cited by 37 publications
(32 citation statements)
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“…We began by examining the temporal trends of the incident based on news volume, and distinguished the four phases, namely, the initial period, the outbreak period, the continuation period, and the ending period ( Figure 2 and Figure 3 ). This is in line with the life cycle of news reporting on an emergency incident, according to journalism and communication studies [ 52 , 53 , 54 ].…”
Section: Discussionsupporting
confidence: 79%
“…We began by examining the temporal trends of the incident based on news volume, and distinguished the four phases, namely, the initial period, the outbreak period, the continuation period, and the ending period ( Figure 2 and Figure 3 ). This is in line with the life cycle of news reporting on an emergency incident, according to journalism and communication studies [ 52 , 53 , 54 ].…”
Section: Discussionsupporting
confidence: 79%
“…Emotional expression in social media content can attract public attention, promote dialogue, and drive engaged feedback [ 18 ]. Emotions possess the function of physiological arousal, which can contribute to information-sharing behavior [ 30 ]. High emotional traits can trigger the viral spread of social media content [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Although previous studies have provided valuable insights into the COVID-19 vaccines, there are limitations in their evaluation of public attitudes towards vaccines through sentiment analysis. Most research related to online sentiments focuses on sentiment polarity, which divides sentiments into positive, negative, and neutral [ 44 ]. Simple categorical sentiment analysis ignores the subtle sentimental changes of users and cannot reflect the complex mental world.…”
Section: Methodsmentioning
confidence: 99%