Analysis of Information Dissemination Based on Emotional and the Evolution Life Cycle of Public Opinion

2019 ◽  
Author(s):  
Jie Wei ◽  
Ling Zhang
Keyword(s):  
Public Opinion ◽  
Life Cycle ◽  
Information Dissemination

Emotional communication analysis of emergency microblog based on the evolution life cycle of public opinion

2020 ◽  
Vol 48 (3) ◽  
pp. 151-163 ◽  
Author(s):  
Ling Zhang ◽  
Jie Wei ◽  
Robert J. Boncella
Keyword(s):  
Public Opinion ◽  
Life Cycle ◽  
Information Dissemination ◽  
Target Audience ◽  
Interactive Effects ◽  
Future Research ◽  
Communication Analysis ◽  
Content Type ◽  
Opinion Evolution ◽  
Hurricane Irma

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 information dissemination. The research was performed in the context of Hurricane Irma by using tweets associated with that event. Findings This paper demonstrates that negative emotional information has a greater communication effect, and further, the target audience that receives more exposure to negative emotional microblogs has a stronger tendency to retweet. Meanwhile, emotions expressed in tweets and the life cycle of public opinion evolution exert interactive effects on the retweeting behavior of the target audience. Research limitations/implications For future research, a professional dictionary and the context should be taken into consideration to make the modeling in the text more normative and analyzable. Practical implications This paper aims to reveal how the emotions of a tweet affect its virality in terms of diffusion volume in the context of an emergency event. Social implications The conclusion made in this paper can shed light on the real-time regulation and public opinion transmission, as well as for efficient intelligence service and emergency management. Originality/value In this study, Hurricane Irma is taken as an example to explore the factors influencing the information dissemination during emergencies on the social media environment. The relationship between the sentiment of a tweet and the life cycle of public opinion and its effect on tweet volume were investigated.

Information Dissemination Mechanism Based on Cloud Computing Cross-Media Public Opinion Network Environment

2021 ◽  
Vol 14 (2) ◽  
pp. 70-83
Author(s):  
Ping Liu
Keyword(s):  
Cloud Computing ◽  
Public Opinion ◽  
Computer Technology ◽  
Information Dissemination ◽  
Transmission Mechanism ◽  
Practical Significance ◽  
Propagation Mechanism ◽  
Cross Media ◽  
User Density ◽  
Network Public Opinion

As an important expression of social public opinion, network public opinion develops rapidly with the popularization of the internet and then affects the real society. Therefore, the use of computer technology to study the network public opinion information transmission mechanism has strong practical significance. The purpose of this paper is to use cloud computing to realize the research of information dissemination mechanism in the context of cross-media public opinion network. Researched from three aspects of operator supervision, number of media, and user density, the hotspot propagation mechanism of Storm platform given in this paper can solve the efficiency problems of traditional algorithms while ensuring accuracy, improve efficiency, and lay the foundation for the research on the monitoring of Internet public opinion propagation.

Multidimensional influencing factors of public opinion information dissemination in social media: Evidence from Weibo dataset

2019 ◽  
Vol 33 (31) ◽  
pp. 1950375 ◽  
Author(s):  
Guanghui Wang ◽  
Yufei Wang ◽  
Kaidi Liu ◽  
Jimei Li
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Information Content ◽  
Influencing Factors ◽  
Network Structure ◽  
Information Dissemination ◽  
Influential Factors ◽  
Channel Network ◽  
The Public ◽  
Information Characteristics

The factors influencing the dissemination of public opinion on social media, the main carrier of public opinion, are diverse, complex and changeable. Existing studies of influential factors of public opinion dissemination focus on the information itself and information sources in the dissemination process, failing to consider the comprehensive influence of multidimensional factors, such as information content, sources and channels. This study takes the identification of multidimensional influential factors of social media information dissemination as the research object and comprehensively sorts out the influencing factors of public opinion. To improve the scientific basis and accuracy of the research, multidimensional factors, including information characteristics, dissemination network structure and user-level attributes, are selected to analyze the effect of influential factors in different dimensions on the dissemination of social media public opinion information using econometric models. Three main conclusions of this paper are as follows: (1) The traditional information characteristics (information content) and information source attributes (user-level factor) are not the only key factors affecting information dissemination, while the information channel (network structure) is worth more consideration. (2) Netizens tend to pay more attention to the psychological and emotional attributes of information when forwarding public opinions. The communication mode in which offline social elites enlighten the public no longer exists; whether a user is a network celebrity or lives in the central area no longer significantly affects public opinion dissemination. (3) The higher the total amount of information users release, the more the information would interfere with the public opinion. This is mainly because users with a higher level of activity may release more invalid information about advertising that has nothing to do with public opinion events.

scholarly journals COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study (Preprint)

2021 ◽  
Author(s):  
Zina Fan ◽  
Wenqiang Yin ◽  
Han Zhang ◽  
Dandan Wang ◽  
Chengxin Fan ◽  
...  
Keyword(s):  
Public Opinion ◽  
Information Dissemination ◽  
Descriptive Analysis ◽  
Three Dimensions ◽  
The Public ◽  
Related Information ◽  
Information Governance ◽  
People’S Daily ◽  
People's Daily ◽  
Types Of Information

BACKGROUND The COVID-19 outbreak has tremendously impacted the world. The number of confirmed cases has continued to increase, causing damage to society and the economy worldwide. The public pays close attention to information on the pandemic and learns about the disease through various media outlets. The dissemination of comprehensive and accurate COVID-19 information that the public needs helps to educate people so they can take preventive measures. OBJECTIVE This study aimed to examine the dissemination of COVID-19 information by analyzing the information released by the official WeChat account of the <i>People’s Daily</i> during the pandemic. The most-read COVID-19 information in China was summarized, and the factors that influence information dissemination were studied to understand the characteristics that affect its dissemination. Moreover, this was conducted in order to identify how to effectively disseminate COVID-19 information and to provide suggestions on how to manage public opinion and information governance during a pandemic. METHODS This was a retrospective study based on a WeChat official account. We collected all COVID-19–related information, starting with the first report about COVID-19 from the <i>People’s Daily</i> and ending with the last piece of information about lifting the first-level emergency response in 34 Chinese provinces. A descriptive analysis was then conducted on this information, as well as on Qingbo Big Data’s dissemination index. Multiple linear regression was utilized to study the factors that affected information dissemination based on various characteristics and the dissemination index. RESULTS From January 19 to May 2, 2020, the <i>People’s Daily</i> released 1984 pieces of information; 1621 were related to COVID-19, which mainly included headline news items, items with emotional content, and issues related to the pandemic’s development. By analyzing the dissemination index, seven information dissemination peaks were discerned. Among the three dimensions of COVID-19 information—media salience, content, and format—eight factors affected the spread of COVID-19 information. CONCLUSIONS Different types of pandemic-related information have varying dissemination power. To effectively disseminate information and prevent the spread of COVID-19, we should identify the factors that affect this dissemination. We should then disseminate the types of information the public is most concerned about, use information to educate people to improve their health literacy, and improve public opinion and information governance.

Information Propagation and Public Opinion Evolution Model Based on Artificial Neural Network in Online Social Network

2019 ◽  
Vol 63 (11) ◽  
pp. 1689-1703 ◽  
Author(s):  
Xiaoyang Liu ◽  
Daobing He
Keyword(s):  
Neural Network ◽  
Public Opinion ◽  
Social Network ◽  
Information Dissemination ◽  
Online Social Network ◽  
Information Propagation ◽  
Propagation Algorithm ◽  
Information Interaction ◽  
Opinion Evolution ◽  
Network Public Opinion

Abstract This paper proposes a new information dissemination and opinion evolution IPNN (Information Propagation Neural Network) model based on artificial neural network. The feedforward network, feedback network and dynamic evolution algorithms are designed and implemented. Firstly, according to the ‘six degrees separation’ theory of information dissemination, a seven-layer neural network underlying framework with input layer, propagation layer and termination layer is constructed; secondly, the information sharing and information interaction evolution process between nodes are described by using the event information forward propagation algorithm, opinion difference reverse propagation algorithm; finally, the external factors of online social network information dissemination is considered, the impact of external behavior patterns is measured by media public opinion guidance and network structure dynamic update operations. Simulation results show that the proposed new mathematical model reveals the relationship between the state of micro-network nodes and the evolution of macro-network public opinion. It accurately depicts the internal information interaction mechanism and diffusion mechanism in online social network. Furthermore, it reveals the process of network public opinion formation and the nature of public opinion explosion in online social network. It provides a new scientific method and research approach for the study of social network public opinion evolution.

Study on the Information Dissemination Model of Product Quality and Safety Based on Web

2014 ◽  
Vol 556-562 ◽  
pp. 5603-5608 ◽  
Author(s):  
Ying Cheng Xu ◽  
Wan Jin Tang ◽  
Yue Xiang Yang ◽  
Chao Lei
Keyword(s):  
Life Cycle ◽  
Product Quality ◽  
Information Dissemination ◽  
Transmission Model ◽  
Quality And Safety ◽  
Life Cycle Model ◽  
Cycle Model ◽  
Proposed Model ◽  
The Media ◽  
Product Quality And Safety

In this paper, the transmission evolution process based on life-cycle model is proposed, which includes five stages: Producing, Outbreak, Spread, Remission and Termination. It constructs the information transmission model of product quality and safety based on the media influence. And finally the computational result is presented, which show that the proposed model is effective and feasible.

scholarly journals Modeling Multidimensional Public Opinion Polarization Process under the Context of Derived Topics

2021 ◽  
Vol 18 (2) ◽  
pp. 472
Author(s):  
Tinggui Chen ◽  
Yulong Wang ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Public Opinion ◽  
Correlation Coefficient ◽  
Information Dissemination ◽  
Mutual Influence ◽  
Internet Technology ◽  
Polarization Process ◽  
Polarization Model ◽  
Multi Stage ◽  
Different Dimensions ◽  
External Intervention

With the development of Internet technology, the speed of information dissemination and accelerated updates result in frequent discussion of topics and expressions of public opinion. In general, multi-dimensional discussion topics related to the same event are often generated in the network, and the phenomenon of multi-dimensional public opinion polarization is formed under the mutual influence of groups. This paper targets the phenomenon of multi-dimensional public opinion polarization under topic-derived situations as the research object. Firstly, this paper identifies the factors influencing multi-dimensional public opinion polarization, including the mutual influence of different topic dimensions and the interaction of viewpoints within the same topic. Secondly, the topic correlation coefficient is introduced to describe the correlation among topics in different dimensions, and the individual topic support degree is used to measure the influence of topics in different dimensions and that of information from external intervention on individual attitudes. Thirdly, a multi-dimensional public opinion polarization model is constructed by further integrating multi-dimensional attitude interaction rules. Finally, the influence of individual participation, topic status, topic correlation coefficient and external intervention information on the multi-dimensional public opinion polarization process is analyzed through simulation experiments. The simulation results show that:(1) when there is a negative correlation between multi-dimensional topics, as the number of participants on different dimensional topics becomes more consistent, the conflict between multi-dimensional topics will weaken the polarization effect of overall public opinion. However, the effect of public opinion polarization will be enhanced alongwith the enhancement in the confidence of individual opinions. (2) The intervention of external intervention information in different dimensions at different times will further form a multi-dimensional and multi-stage public opinion polarization, and when the multi-dimensional topics are negatively correlated, the intervention of external intervention information will have a stronger impact on the multi-dimensional and multi-stage public opinion polarization process. Finally, the rationality and validity of the proposed model are verified by a real case.

scholarly journals Strategi Komunikasi Sosial Media Buzzer @infodenpasar Pada Instagram Dalam Menyebarkan Informasi dan Membangun Opini Masyarakat Kota Denpasar

2021 ◽  
Vol 16 (1) ◽  
pp. 12
Author(s):  
Ulio Ulio ◽  
I Putu Adi Saskara ◽  
I Wayan Yudhasatya Dharma
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Public Opinion ◽  
Information Search ◽  
Research Method ◽  
Information Dissemination ◽  
Communication Strategy ◽  
The Social ◽  
Library Studies ◽  
The City

<p><em>This research is a qualitative research that examines the Social Media Buzzer @Infodenpasar Communication Strategy on Instagram in disseminating information and building public opinion in Denpasar City. This research is very important because in today's digitalization era, the use of information technology is to facilitate the public in all lines of activity and the flow of information dissemination and exchange is very fast which often causes uproar in cyberspace because of the rampant circulation of hoax or fake news, an account is present. @infodenpasar on Instagram as a social media buzzer with 885 thousand followers / followers to become credible and trusted news and information presenter accounts in spreading news and information about Denpasar City. In this study, the focus will be on analyzing three problems, namely: (1) Why do the people of Denpasar City choose social media buzzer @infodenpasar account on Instagram in looking for news and information about the city of Denpasar ?, (2) How is the social media buzzer @infodenpasar communication strategy on Instagram in disseminating information and building public opinion in Denpasar City, (3) What are the implications of social media buzzer @infodenpasar on Instagram in spreading information and building public opinion in Denpasar City?</em></p><p><em>The research method used is a qualitative research method, to achieve the research objectives, relevant and adequate data are required. Researchers as a key instrument, the technique of determining informants using a purposive sampling model, while the data collection techniques used observation, interviews and library studies.</em></p><em>The findings of the study include: Reasons for social media users in choosing the @infodenpasar account as a media in searching for news and information about the city of Denpasar, consumer behavior through several stages of the decision making process, namely information search, alternative evaluation, and purchase decisions The communication strategy used by @infodenpasar is by using redundancy techniques, canalizing techniques, informative techniques, and persuasive techniques. Furthermore, the implications for the communication strategy of the Social Media Buzzer @infodenpasar in disseminating information and building public opinion in the city of Denpasar include: Implications for Community Economic Development, Implications for Easing Access to Education, Implications for Forming Ethics and Decency, and Implications for Safety and Smooth Traffic. </em>

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