scholarly journals Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China

2020 ◽  
Vol 17 (8) ◽  
pp. 2788 ◽  
Author(s):  
Xuehua Han ◽  
Juanle Wang ◽  
Min Zhang ◽  
Xiaojie Wang
Keyword(s):  
Social Media ◽  
Spatial Distribution ◽  
Public Opinion ◽  
Large Population ◽  
River Delta ◽  
Classification Model ◽  
Allocation Model ◽  
Urban Agglomerations ◽  
The Public ◽  
The Government

The outbreak of Corona Virus Disease 2019 (COVID-19) is a grave global public health emergency. Nowadays, social media has become the main channel through which the public can obtain information and express their opinions and feelings. This study explored public opinion in the early stages of COVID-19 in China by analyzing Sina-Weibo (a Twitter-like microblogging system in China) texts in terms of space, time, and content. Temporal changes within one-hour intervals and the spatial distribution of COVID-19-related Weibo texts were analyzed. Based on the latent Dirichlet allocation model and the random forest algorithm, a topic extraction and classification model was developed to hierarchically identify seven COVID-19-relevant topics and 13 sub-topics from Weibo texts. The results indicate that the number of Weibo texts varied over time for different topics and sub-topics corresponding with the different developmental stages of the event. The spatial distribution of COVID-19-relevant Weibo was mainly concentrated in Wuhan, Beijing-Tianjin-Hebei, the Yangtze River Delta, the Pearl River Delta, and the Chengdu-Chongqing urban agglomeration. There is a synchronization between frequent daily discussions on Weibo and the trend of the COVID-19 outbreak in the real world. Public response is very sensitive to the epidemic and significant social events, especially in urban agglomerations with convenient transportation and a large population. The timely dissemination and updating of epidemic-related information and the popularization of such information by the government can contribute to stabilizing public sentiments. However, the surge of public demand and the hysteresis of social support demonstrated that the allocation of medical resources was under enormous pressure in the early stage of the epidemic. It is suggested that the government should strengthen the response in terms of public opinion and epidemic prevention and exert control in key epidemic areas, urban agglomerations, and transboundary areas at the province level. In controlling the crisis, accurate response countermeasures should be formulated following public help demands. The findings can help government and emergency agencies to better understand the public opinion and sentiments towards COVID-19, to accelerate emergency responses, and to support post-disaster management.

scholarly journals A Study on the Topic-Sentiment Evolution and Diffusion in Time Series of Public Opinion Derived from Emergencies

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Meng Cai ◽  
Han Luo ◽  
Ying Cui
Keyword(s):  
Public Health ◽  
Social Media ◽  
Time Series ◽  
Public Opinion ◽  
Public Health Emergency ◽  
Classification Model ◽  
Temporal Networks ◽  
Public Opinions ◽  
The Public ◽  
And Diffusion

With the development of the Internet, social media has become an important platform for people to deal with emergencies and share information. When a public health emergency occurs, the public can understand the topics of the event and perceive the sentiments of others through social media, thus building a cooperative communication network. In this study, we took the public health emergency as the main research object and the natural disaster, accident, and social security event as the secondary research object and further revealed the law of the formation and evolution of public opinion through the analysis on temporal networks of topics and sentiments in social media platforms. Firstly, we identified the derived topics by constructing the topic model and used the sentiment classification model to divide the text sentiments of the derived topics into two types: positive sentiment and negative sentiment. Then, the ARIMA time series model was used to fit and predict the evolution and diffusion rules of topics and sentiments derived from public opinions on temporal networks. It was found that the evolution law of derived public opinions had similarities and differences in various types of emergencies and was closely related to government measures and media reports. The related research provides a foundation for the management of network public opinion and the realization of better emergency effects.

scholarly journals Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China

2019 ◽  
Vol 8 (4) ◽  
pp. 185 ◽  
Author(s):  
Xuehua Han ◽  
Juanle Wang
Keyword(s):  
Social Media ◽  
Spatial Distribution ◽  
Latent Dirichlet Allocation ◽  
Developmental Stages ◽  
Classification Model ◽  
Economic Losses ◽  
Public Servants ◽  
Public Sentiment ◽  
South Central ◽  
The Government

Social media has been applied to all natural disaster risk-reduction phases, including pre-warning, response, and recovery. However, using it to accurately acquire and reveal public sentiment during a disaster still presents a significant challenge. To explore public sentiment in depth during a disaster, this study analyzed Sina-Weibo (Weibo) texts in terms of space, time, and content related to the 2018 Shouguang flood, which caused casualties and economic losses, arousing widespread public concern in China. The temporal changes within six-hour intervals and spatial distribution on sub-district and city levels of flood-related Weibo were analyzed. Based on the Latent Dirichlet Allocation (LDA) model and the Random Forest (RF) algorithm, a topic extraction and classification model was built to hierarchically identify six flood-relevant topics and nine types of public sentiment responses in Weibo texts. The majority of Weibo texts about the Shouguang flood were related to “public sentiment”, among which “questioning the government and media” was the most commonly expressed. The Weibo text numbers varied over time for different topics and sentiments that corresponded to the different developmental stages of the flood. On a sub-district level, the spatial distribution of flood-relevant Weibo was mainly concentrated in high population areas in the south-central and eastern parts of Shouguang, near the river and the downtown area. At the city level, the Weibo texts were mainly distributed in Beijing and cities in the Shandong Province, centering in Weifang City. The results indicated that the classification model developed in this study was accurate and viable for analyzing social media texts during a disaster. The findings can be used to help researchers, public servants, and officials to better understand public sentiments towards disaster events, to accelerate disaster responses, and to support post-disaster management.

Profiling the Users of High Influence on Social Media in the Context of Public Events

2021 ◽  
Vol 32 (2) ◽  
pp. 36-49
Author(s):  
Lu An ◽  
Junyang Hu ◽  
Manting Xu ◽  
Gang Li ◽  
Chuanming Yu
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Emergency Management ◽  
Emotional Support ◽  
Opinion Leader ◽  
Negative Effects ◽  
The Public ◽  
Public Events ◽  
Social Media Platforms ◽  
Influential Users

The highly influential users on social media platforms may lead the public opinion about public events and have positive or negative effects on the later evolution of events. Identifying highly influential users on social media is of great significance for the management of public opinion in the context of public events. In this study, the highly influential users of social media are divided into three types (i.e., topic initiator, opinion leader, and opinion reverser). A method of profiling highly influential users is proposed based on topic consistency and emotional support. The event of “Jiankui He Editing the Infants' Genes” was investigated. The three types of users were identified, and their opinion differences and dynamic evolution were revealed. The comprehensive profiles of highly influential users were constructed. The findings can help emergency management departments master the focus of attention and emotional attitudes of the key users and provide the method and data support for opinion management and decision-making of public events.

scholarly journals THE ROLE OF INSTAGRAM AS AN INFORMATION DELIVERANCE TO THE CITIZEN BY THE PUBLIC RELATIONS OF SALATIGA CITY GOVERNMENT

2019 ◽  
Vol 2 (2) ◽  
pp. 111
Author(s):  
Silvia Widya Kusumaningtyas ◽  
Zon Vanel
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Active Role ◽  
City Government ◽  
Online Information ◽  
The Public ◽  
Information Media ◽  
Government Public Relations ◽  
The Government

<span lang="IN">Social media is one type of new media that facilitates the process of communication among human. Social media makes it easy for users to communicate and share information in a wider range. At present, not only people use Instagram, but the government also needs to keep up with the time to participate in using Instagram as an online information media. Public Relations of the Salatiga Government is one of the public relations departments that uses Instagram as an online information media to provide information needed by the community.<br /> This research aimed to find out how the content of the information was<span>  </span>and how the role of instagram was as an information deliverance to the citizen by the public relations of Salatiga. Through qualitative methods research, data is collected by means of interviews and observations. The results showed that the Salatiga <span> </span>Government Public Relations Instagram account had a role to increase brand awareness, connect many people and as a source of information/ business promotion.Public Relations of the Salatiga Government considers that Instagram plays an active role in conveying information to the public. This is seen from the many positive responses received by the Salatiga City Government Public Relations during managing Instagram as a modern information deliverance.<span>     </span></span>

scholarly journals E-LEARNING ACCESSIBILITY IN STATE-OWNED SCHOOLS IN NORTH BALI

2019 ◽  
Vol 26 (1) ◽  
pp. 8
Author(s):  
Wicaksana Gede Dharma Arya ◽  
Dewi Ni Putu Febriana
Keyword(s):  
Qualitative Research ◽  
Public Opinion ◽  
Snowball Sampling ◽  
The Real ◽  
The Public ◽  
Interview Guide ◽  
E Learning ◽  
The Government ◽  
Descriptive Qualitative

This study aimed at investigating the implementation of e-learning in one of government non-favourite schools in Singaraja. This study was the result of the real implementationof e-learning in Bali in which the government expected e-learning to be applicable in every school in Bali since the launching of Balinese version of E-learning 2017. This research was a descriptive qualitative research. This study used snowball sampling in which the public opinion was counted. The data were collected by using observation and interview guide. The result of the study showed that the implementation of e-learning was not running well and became a serious problem. Some sollutions were offered in this study.

scholarly journals Public Opinion and Public Policy in Advanced Democracies

2011 ◽  
Author(s):  
Christopher Wlezien
Keyword(s):  
Public Policy ◽  
Public Opinion ◽  
Voting Behavior ◽  
Descriptive Representation ◽  
Political Systems ◽  
Roll Call ◽  
Political Actors ◽  
The Public ◽  
Self Interest ◽  
The Government

The representation of public opinion in public policy is of obvious importance in representative democracies. While public opinion is important in all political systems, it is especially true where voters elect politicians; after all, opinion representation is a primary justification for representative democracy. Not surprisingly, a lot of research addresses the connection between the public and the government. Much of the work considers “descriptive representation”—whether the partisan and demographic characteristics of elected politicians match the characteristics of the electorate itself. This descriptive representation is important but may not produce actual “substantive representation” of preferences in policy. Other work examines the positions of policymakers. Some of this research assesses the roll call voting behavior of politicians and institutions. The expressed positions and voting behavior of political actors do relate to policy but are not the same things. Fortunately, a good amount of research analyzes policy. With but a handful of exceptions noted below, this research focuses on expressed preferences of the public, not their “interests.” That is, virtually all scholars let people be the judges of their own interests, and they assess the representation of expressed opinion no matter how contrary to self-interest it may seem.

Who is Setting Emotions? A Comparative Study on Emotion Diffusion in Social Media among Public, Government and Media during the COVID-19 Pandemic in China (Preprint)

2021 ◽  
Author(s):  
Shuhuan Zhou ◽  
Yi Wang
Keyword(s):  
Social Media ◽  
Information Exchange ◽  
Positive Emotions ◽  
Negative Emotions ◽  
Chinese Government ◽  
The Public ◽  
The Media ◽  
The Government ◽  
The Impact ◽  
Time Point

BACKGROUND During the COVID-19 outbreak, social media served as the main platform for information exchange, through which the Chinese government, media and public would spread information. At the same time, a variety of emotions interweave, and the public emotions would also be affected by the government and media. OBJECTIVE This study aims to investigate the types, trends and relationships of emotional diffusion in Chinese social media among the public, the government and the media under the pandemic of COVID-19 (December 30,2019, to July 1,2020) . METHODS In this paper, Python 3.7.0 and its data crawling framework Scrapy 1.5.1 are used to write a web crawler program to search for super topics related to COVID-19 on Sina Weibo platform of different keywords . Then, we used emotional lexicon to analyze the types and trends of the public, government and media emotions on social media. Finally cross-lagged regression was applied to build the relationships of different subjects’ emotions. RESULTS The highlights of our study are threefold: (1) The public, the government and the media mainly diffuse positive emotions during the COVID-19 pandemic in China; (2) Emotional diffusion shows a certain change over time, and negative emotions are obvious in the initial phase of the pandemic, with the development of the pandemic, positive emotions surpass negative emotions and remain stable. (3)The impact among the three main emotions with the period as the time point is weak, while the impact of emotion with the day as the time point is relatively obvious. The emotions of the public and the government impact each other, and the media emotions can guide the public emotions. CONCLUSIONS This is the first study of comparing pubic, government and media emotions on the social media during COVID-19 pandemic in China. The pubic, the government and the media mainly diffuse positive emotions during the pandemic. And the government and the media have better effect on short-term emotional guidance. Therefore, when the pandemic suddenly occurs, the government and the media should intervene in time to solve problems and conflicts and diffuse positive and neutral emotions. In this regard, the government and the media can play important roles through social media in the major outbreaks. At the theoretical level, this paper takes China's epidemic environment and social media as the background to provide one of the explanatory perspectives for the spread of emotions on social media. At the some time, because of this special background, it can provide comparison and reference for the research on internet emotions in other countries.

FANTASI KELOMPOK PENDUKUNG PRABOWO DI MEDIA SOSIAL PADA DEBAT PEMILIHAN PRESIDEN INDONESIA 2019

2019 ◽  
Vol 1 (1) ◽  
pp. 47-58
Author(s):  
Laskarko Patria
Keyword(s):  
Social Media ◽  
Support Group ◽  
Analysis Method ◽  
Economic Independence ◽  
Fantasy Theme Analysis ◽  
The Public ◽  
National Economic ◽  
The Government ◽  
Public Audience ◽  
Fantasy Themes

This research uses the theory of Symbolic Convergence, with the Subjective-Interpretive paradigm, with the Qualitative approach, and the Fantasy Theme Analysis method. The object of this research is the public audience/netizens who use Youtube-TVONE social media, during the broadcast of the 2019 Presidential Election Debate (Pilpres). Methods of data collection, using Observation and Documentation techniques. Netizens’ comments on Youtube social media at the time of the Debate show, are data that are the object of research. The research data is in the form of comments from netizens who are considered relevant are support presidential candidate Prabowo Subianto. The purpose of this study is to identify and interpret fantasy themes that appear in comments on Youtube. The results showed that fantasy themes that often appear in netizen’s comments are Leadership and Character. The meaning of the imagination of Prabowo’s support group is that the public wants Prabowo to be president, because he has a good character, honest, courageous, assertive, and has a leadership spirit, so he can regulate and discipline state ofcials and realize national economic independence. Prabowo’s support group was convinced that the president had to be replaced, because he did not have a leadership spirit, and the government was now considered less effective, and not pro-people. 

Implementation of Social Media Concepts for E-Government

2019 ◽  
pp. 1071-1091
Author(s):  
Raimundo Díaz-Díaz ◽  
Daniel Pérez-González
Keyword(s):  
Social Media ◽  
Citizen Participation ◽  
Smart Cities ◽  
City Council ◽  
Political Agenda ◽  
The Public ◽  
Partnership Model ◽  
The Government ◽  
Technological Platform

Some governments have proven social media's potential to generate value through co-creation and citizen participation, and municipalities are increasingly using these tools in order to become smart cities. Nevertheless, few public administrations have taken full advantage of all the possibilities offered by social media and, as a consequence, there is a shortage of case studies published on this topic. By analyzing the case study of the platform Santander City Brain, managed by the City Council of Santander (Spain), the current work contributes to broaden the knowledge on ambitious social media projects implemented by local public administrations for e-Government; therefore, this case can be useful for other public sector's initiatives. The case studied herein proves that virtual social media are effective tools for civil society, as it is able to set the political agenda and influence the framing of political discourse; however, they should not be considered as the main channel for citizen participation. Among the results obtained, the authors have found that several elements are required: the determination and involvement of the government, a designated community manager to follow up with the community of users, the secured privacy of its users, and a technological platform that is easy to use. Additionally, the Public Private Partnership model provides several advantages to the project, such as opening new sources of funding.

Chinese Citizenry Social Media Pressures and Public Official Responses

2020 ◽  
pp. 139-181
Author(s):  
James Robert Masterson
Keyword(s):  
Social Media ◽  
Public Domain ◽  
Chinese Government ◽  
Public Official ◽  
Government Officials ◽  
The Public ◽  
Access Information ◽  
The Government ◽  
Use Of Social Media ◽  
High Level

Widespread use of social media in China is a double edged sword: social media offers opportunities for the government to connect with society, gauge the opinion of citizens in the public domain, and allow citizens to voice their anger when necessary by blowing off steam online rather than in the streets. However, social media also allows citizens to access information outside of China much more rapidly and efficiently and to link up and communicate with other citizens much more quickly. Social media allows users to share texts, photos, and files, making it much more difficult for the government to control information and to thwart organizing for political purposes. In some instances, the use of social media has forced the Chinese government to take actions that it otherwise would not have done or to reverse actions or policies already set in place. The goal of this chapter is to illustrate the double-edged sword that social media poses to government officials in China, particularly high-level party officials in Beijing.

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