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Article
Publication date: 20 July 2022

Jiakun Wang and Yun Li

Under the new media environment, while enjoying the convenience brought by the propagation of public opinion information (referred to as public opinion), learning the…

Abstract

Purpose

Under the new media environment, while enjoying the convenience brought by the propagation of public opinion information (referred to as public opinion), learning the evolution process of public opinion and strengthening the governance of the spreading of public opinion are of great significance to promoting economic development and maintaining social stability as well as effectively resisting the negative impact of its propagation.

Design/methodology/approach

Thinking about the results of empirical research and bibliometric analysis, this paper focused on introducing key factors such as information content, social strengthening effects, etc., from both internal and external levels, dynamically designed public opinion spreading rules and netizens' state transition probability. Subsequently, simulation experiments were conducted to discuss the spreading law of public opinion in two types of online social networks and to identify the key factors which influencing its evolution process. Based on the experimental results, the governance strategies for the propagation of negative public opinion were proposed finally.

Findings

The results show that compared with other factors, the propagation of public opinion depends more on the attributes of the information content itself. For the propagation of negative public opinion, on the one hand, the regulators should adopt flexible guidance strategy to establish a public opinion supervision mechanism and autonomous system with universal participation. On the other hand, they still need to adopt rigid governance strategy, focusing on the governance timing and netizens with higher network status to forestall the wide-diffusion of public opinion.

Practical implications

The research conclusions put forward the enlightenment for the governance of public opinion in management practice, and also provided decision-making reference for the regulators to reasonably respond to the propagation of public opinion.

Originality/value

Our research proposed a research framework for the discussion of public opinion propagation process and had important practical guiding significance for the governance of public opinion propagation.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

Keywords

Book part
Publication date: 2 April 2012

David H. Kamens

One of the factors that make the divination of public opinion compelling is the decline of party systems and the rise of “individuated politics” (Dalton, 2002a, 2002b…

Abstract

One of the factors that make the divination of public opinion compelling is the decline of party systems and the rise of “individuated politics” (Dalton, 2002a, 2002b, 2006). If individuals are now the major actors in politics and have volatile opinions, then finding out what opinions sectors of the public have, and attempting to shape them, becomes crucial. This circumstance makes the inspection and analysis of mass opinion compelling and significant (see Ginsberg, 1986; Ginsberg & Shefter, 1990; Herbst, 1993). It also makes “public opinion” a compelling abstraction and political force. Finding it and divining its meaning has spawned its own organizational structures and constituencies.

Details

Beyond the Nation-State
Type: Book
ISBN: 978-1-78052-708-6

Article
Publication date: 7 December 2021

Yun Li and Jiakun Wang

In modern society, considering the multi-channel of public opinion information (public opinion) propagation and its strong influence on social development, it is necessary…

Abstract

Purpose

In modern society, considering the multi-channel of public opinion information (public opinion) propagation and its strong influence on social development, it is necessary to study its propagation law and discuss the intervention strategy in online social networks (OSN).

Design/methodology/approach

First, a conceptual model of double-layer OSN was constructed according to their structural characteristics. Then, a cross-network propagation model of public opinion in double-layer OSN was proposed and discussed its spreading characteristics through numerical simulations. Finally, the control strategy of public opinion, especially the timing and intensity of intervention were discussed.

Findings

The results show that the double-layer OSN promotes the propagation of public opinion, and the propagation of public opinion in double-layer OSN has the characteristics of that in two single-layer OSN. Compared with the intervention intensity, the regulator should give the priority to the timing of intervention and try to intervene in the early stage of public opinion propagation.

Practical implications

This study may help the regulators to respond to the propagation of public opinion in OSN more actively and reasonably.

Originality/value

This research has a deep comprehension of the cross-network propagation rules of public opinion and manages the propagation of public opinion.

Details

Aslib Journal of Information Management, vol. 74 no. 2
Type: Research Article
ISSN: 2050-3806

Keywords

Article
Publication date: 1 April 1988

Graham R. Walden

Over the past fifty years, public opinion polls have assumed an increasingly important role in daily life. Quite possibly every person living in America has at one time or…

Abstract

Over the past fifty years, public opinion polls have assumed an increasingly important role in daily life. Quite possibly every person living in America has at one time or another been affected by polls. In fact, few aspects of our lives remain untouched by polls—from the television programs we watch, to the choice of candidates for public office, to national political issues, to the products we buy. Polling has become widely known through frequent use by television and the mass market print media.

Details

Reference Services Review, vol. 16 no. 4
Type: Research Article
ISSN: 0090-7324

Article
Publication date: 7 July 2020

Qingqing Zhou and Ming Jing

The suddenness, urgency and social publicity of emergency events lead to great impacts on public life. The deep analysis of emergency events can provide detailed and…

Abstract

Purpose

The suddenness, urgency and social publicity of emergency events lead to great impacts on public life. The deep analysis of emergency events can provide detailed and comprehensive information for the public to get trends of events timely. With the development of social media, users prefer to express opinions on emergency events online. Thus, massive public opinion information of emergencies has been generated. Hence, this paper aims to conduct multidimensional mining on emergency events based on user-generated contents, so as to obtain finer-grained results.

Design/methodology/approach

This paper conducted public opinion analysis via fine-grained mining. Specifically, public opinion about an emergency event was collected as experimental data. Secondly, opinion mining was conducted to get users’ opinion polarities. Meanwhile, users’ information was analysed to identify impacts of users’ characteristics on public opinion.

Findings

The experimental results indicate that public opinion is mainly negative in emergencies. Meanwhile, users in developed regions are more active in expressing opinions. In addition, male users, especially male users with high influence, are more rational in public opinion expression.

Originality/value

To the best of the authors’ knowledge, this is the first research to identify public opinion in emergency events from multiple dimensions, which can get in-detail differences of users’ online expression.

Details

The Electronic Library , vol. 38 no. 3
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 16 July 2018

Sojung Claire Kim, Kang Namkoong, Timothy Fung, Kwangjun Heo and Albert Gunther

Although Human Papilloma Virus (HPV) is the most commonly diagnosed sexually transmitted infection in the USA, much controversy exists with respect to HPV vaccination…

Abstract

Purpose

Although Human Papilloma Virus (HPV) is the most commonly diagnosed sexually transmitted infection in the USA, much controversy exists with respect to HPV vaccination, especially among parents of adolescents. Previous research has shown that exemplars in the media influence public opinion estimates about controversial social issues. However, little is known about the underlying psychological processes of how exemplars influence public opinion formation. The purpose of this paper is to systematically explore such psychological processes based on the projection theory. To this end, the important yet controversial public health issue, the mandatory HPV vaccination, was chosen.

Design/methodology/approach

A two-factor (exemplar vs proportion), between-subject experiment was conducted using online newspaper articles as main stimuli. A total of 138 participants completed the study. The analytical framework comprised the Sobel test with the Bootstrap method and a series of Ordinary Least Square hierarchical regression analyses.

Findings

The higher the proportion of exemplars against the HPV vaccination in a news article was, the greater the number of individuals who became opposed to it was. And the high personal opposition translated into negative public opinion change estimation.

Originality/value

The findings indicate that news exemplars may influence individuals’ personal opinion formation, and, in turn, contribute to their estimations of future public opinion climate, as suggested by the projection theory. Theoretical, methodological and practical implications for journalists, health educators and policy makers are discussed.

Details

Health Education, vol. 118 no. 5
Type: Research Article
ISSN: 0965-4283

Keywords

Article
Publication date: 17 June 2020

Xiwei Wang, Yunfei Xing, Yanan Wei, QingXiao Zheng and Guochun Xing

Social media, especially microblog, has become one of the most popular platforms for public opinion dissemination. However, so far few studies have been conducted to…

Abstract

Purpose

Social media, especially microblog, has become one of the most popular platforms for public opinion dissemination. However, so far few studies have been conducted to explore information dissemination under the mobile environment. This paper aims to introduce the approach to analyze the public opinion information dissemination in mobile social networks.

Design/methodology/approach

This paper chooses “network attack” as the research topic and extracts 23,567 relevant messages from Sina Microblogs to study the structure of nodes for public opinion dissemination and the characteristics of propagation paths on mobile internet. Public opinion dissemination is compared on both mobile and non-mobile terminals.

Findings

The results reveal the characteristics of public opinion dissemination in mobile environment and identify three patterns of information propagation path. This study concludes that public opinion on mobile internet propagates more widely and efficiently and generates more impact than that on the non-mobile internet.

Social implications

The methods used in this study can be useful for the government and other organizations to analyze and identify problems in online information dissemination.

Originality/value

This paper explores the mechanism of public opinion dissemination on mobile internet in China and further investigates how to improve public opinion management through a case study related to “network attack.”

Details

Information Discovery and Delivery, vol. 48 no. 4
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 13 July 2012

Harry Barton and Malcolm J. Beynon

The UK police service has a major challenge to introduce innovative ways of improving efficiency and productivity, whilst at the same time improving public opinion as to…

Abstract

Purpose

The UK police service has a major challenge to introduce innovative ways of improving efficiency and productivity, whilst at the same time improving public opinion as to their effectiveness in the “fight against crime”. The purpose of this paper is to outline an exploratory study of the ability to cluster police forces based on their sanction detection levels over a number of different offence groups and whether these clusters have different associated public opinions towards them.

Design/methodology/approach

Using secondary data and the fuzzy c‐means clustering technique to exposit clusters of police forces based on sanction detection levels, relating them in a statistical analysis with public opinion on the police.

Findings

The clustering analysis shows how police forces can be considered relative to each other, based on their sanction detection levels of certain offence groups, including; burglary, fraud and forgery and criminal damage. Using the established clusters of police forces, in respect of independent variables relating to public opinion, including confidence in police; there does appear to be statistically significant differences amongst the clusters of police force.

Research limitations/implications

The results demonstrate the connection between the police's attempt to fight crime and public opinion. With the public opinion measures considered post the establishing of police forces’ clusters, the results show the public does notice the level of sanction detections achieved. The identified disconnect of the public with the criminal justice system is something that can be improved on in the future.

Practical implications

Demonstrates that there is a significant link in the relationship between the levels of sanction detection levels of police forces and public opinion about their ability to fight crime.

Originality/value

This paper employs fuzzy c‐means, a modern clustering technique nascent in this area of research.

Details

International Journal of Emergency Services, vol. 1 no. 1
Type: Research Article
ISSN: 2047-0894

Keywords

Article
Publication date: 3 May 2022

Chong Li, Yuling Qu and Xinping Zhu

A novel asynchronous network-based model is proposed in this paper for the sentiment analysis of online public opinions. This new model provides a new approach to analyze…

Abstract

Purpose

A novel asynchronous network-based model is proposed in this paper for the sentiment analysis of online public opinions. This new model provides a new approach to analyze the evolution characteristics of online public opinion sentiments in complex environment.

Design/methodology/approach

Firstly, a new sentiment analysis model is proposed based on the asynchronous network theory. Then the graphical evaluation and review technique is employed and extended to design the model-based sentiment analysis algorithms. Finally, simulations and real-world case studies are given to show the effectiveness of the proposed model.

Findings

The dynamics of online public opinion sentiments are determined by both personal preferences to certain topics and the complex interactive influences of environmental factors. The application of appropriate quantitative models can improve the prediction of public opinion sentiment.

Practical implications

The proposed model-based algorithms provide simple but effective ways to explore the complex dynamics of online public opinions. Case studies highlight the role of government agencies in shaping sentiments of public opinions on social topics.

Originality/value

This paper proposes a new asynchronous network model for the dynamic sentiment analysis of online public opinions. It extends the previous static models and provides a new way to extract opinion evolution patterns in complex environment. Applications of the proposed model provide some new insights into the online public opinion management.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 4 November 2021

Jialiang Xie, Shanli Zhang and Ling Lin

In the new era of highly developed Internet information, the prediction of the development trend of network public opinion has a very important reference significance for…

Abstract

Purpose

In the new era of highly developed Internet information, the prediction of the development trend of network public opinion has a very important reference significance for monitoring and control of public opinion by relevant government departments.

Design/methodology/approach

Aiming at the complex and nonlinear characteristics of the network public opinion, considering the accuracy and stability of the applicable model, a network public opinion prediction model based on the bald eagle algorithm optimized radial basis function neural network (BES-RBF) is proposed. Empirical research is conducted with Baidu indexes such as “COVID-19”, “Winter Olympic Games”, “The 100th Anniversary of the Founding of the Party” and “Aerospace” as samples of network public opinion.

Findings

The experimental results show that the model proposed in this paper can better describe the development trend of different network public opinion information, has good stability in predictive performance and can provide a good decision-making reference for government public opinion control departments.

Originality/value

A method for optimizing the central value, weight, width and other parameters of the radial basis function neural network with the bald eagle algorithm is given, and it is applied to network public opinion trend prediction. The example verifies that the prediction algorithm has higher accuracy and better stability.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 15 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

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