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This study aims to explore the dissemination and evolutionary path of online public opinion from a crisis management perspective. By clarifying the influencing factors and dynamic mechanisms of online public opinion dissemination, this study provides insights into attenuating the negative impact of online public opinion and creating a favorable ecological space for online public opinion.

This research employs bibliometric analysis and CiteSpace software to analyze 302 Chinese articles published from 2006 to 2023 in the China National Knowledge Infrastructure (CNKI) database and 276 English articles published from 1994 to 2023 in the Web of Science core set database. Through literature keyword clustering, co-citation analysis and burst terms analysis, this paper summarizes the core scientific research institutions, scholars, hot topics and evolutionary paths of online public opinion crisis management research from both Chinese and international academic communities.

The results show that the study of online public opinion crisis management in China and internationally is centered on the life cycle theory, which integrates knowledge from information, computer and system sciences. Although there are differences in political interaction and stage evolution, the overall evolutionary path is similar, and it develops dynamically in the “benign conflict” between the expansion of the research perspective and the gradual refinement of research granularity.

This study summarizes the research results of online public opinion crisis management from China and the international academic community and identifies current research hotspots and theoretical evolution paths. Future research can focus on deepening the basic theories of public opinion crisis management under the influence of frontier technologies, exploring the subjectivity and emotionality of web users using fine algorithms and promoting the international development of network public opinion crisis management theory through transnational comparison and international cooperation.

This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can provide services for the relevant departments of organizations or institutions to formulate corresponding public opinion response strategies.

This study considers Chinese universities’ public opinion events on the Weibo platform as the research object. It collects online comments on Chinese universities’ network public opinion governance strategy texts on Weibo, constructs the sentiment index based on sentiment analysis and evaluates the effectiveness of the network public opinion governance strategy adopted by university officials.

This study found the following: First, a complete information release process can effectively improve the effect of public opinion governance strategies. Second, the effect of network public opinion governance strategies was significantly influenced by the type of public opinion event. Finally, the effect of public opinion governance strategies is closely related to the severity of punishment for the subjects involved.

The theoretical contribution of this study lies in the application of image repair theory and strategies in the field of network public opinion governance, which further broadens the scope of the application of image repair theory and strategies.

This study expands online user comment research to network public opinion governance and provides a quantitative method for evaluating the effect of governance strategies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2022-0269

The purpose of this study is to know the effect of religious values that the Jordan Political discipline adopted and were mentioned in the Jordan political discourses (Amman Message 2005, discourse of King Abdullah II in the European Parliament 2008 and his discourse in United Nations 2015) on the public opinion of the university students, especially their attitudes toward terrorism and extremism. Defending Islam is the responsibility of the Jordan political leadership according to Hashemite legacy and promoting Islamic values that rejected terrorism and extremism to Jordanian youth, especially tolerance and moderation values, to counter defamations and claims against Islam and correct its image in the West.

A political discourse analysis approach was used by analyzing the Amman Message and identifying the most important religious values contained therein. Also, a quantitative research method was used in this study. The study population consisted of university students, particularly Jordanian University students because being one of the high-bred Jordanian universities, it is characterized with gender, age, regional affiliation and family income diversities. This study depends on a purposive sample containing 350 students (175 males and 175 females). The survey was conducted in the academic year (2018-2019). A questionnaire that was reviewed by three jurors was used in data collection.

The results of the analysis of the political discourse showed that the values of tolerance and moderation are among the most valued in the Amman Message, where they were frequently repeated. Also, findings have shown that the religious values adopted by the Jordanian political system mentioned in the political discourses had an impact on public opinion of university students on terrorism and extremism causes in a large percent. When gender differed (males and females), the impact ratio of the public opinion for males was higher than that for females. When the age group differed (18-22 and 23-30 years), the effect ratio with the old age group was higher than the effect ratio for the students with the youngest age group. When regional affiliation differed (Jordanian and Jordanian of Palestinian origin), the impact ratio of the public opinion for Jordanian students was higher than that for Jordanian students of Palestinian origin. When regional family income differed (500 dinars and less, more than 500 dinars), the impact ratio of the public opinion for students with family income more than 500 dinars was higher than that for students with family income 500 dinars and less.

This study represents an approach to recognize the effect of religious values that were adopted by the Jordanian political system mentioned in the political discourses on public opinion of university students on terrorism and extremism causes, considering that university students represent the influential youth group in the Jordanian society.

This research aims to examine the ways and the extent to which social media platforms undermine the spiral of silence by facilitating the expression of diverse voices and opinions.

Semi-structured interviews were conducted with members of closed groups focused on non-consensus topics.

Facebook closed group members perceive the media as isolating and portraying their issues negatively. However, these groups offer support, inclusion and non-judgmental opinion-sharing space. Consequently, members feel more comfortable discussing and sharing the topic outside the group, indicating a slight trend of challenging and undermining the spiral of silence through social networks.

The study faces challenges in comparing diverse groups due to unique circumstances, complex needs and societal attitudes. Each group stands alone, potentially yielding slightly different findings.

Social media challenges and undermines the spiral of silence, as these opinions are shared with the wider society and can even find their way back to mainstream media outlets. Thus, social media platforms play a significant role in disrupting the spiral of silence and facilitating the expression of diverse opinions that may have been previously suppressed.

This research emphasizes the critical role of social media in shaping public opinion and its interaction with the broader media landscape, illustrating a circular process where social media disrupts the spiral of silence by facilitating the expression of previously suppressed diverse opinions, which can then potentially influence mainstream media.

This study adds value by exploring how social media platforms can challenge and undermine the spiral of silence, enabling the expression of diverse, marginalized and underrepresented opinions in society. It highlights the role of social media in shaping public opinion and discourse, challenging the dominance of traditional media. Its originality emanates from its revelations concerning the legitimization of conversational topics, which may consequently affect media agendas.

The green innovation behavior of construction enterprises is the key to reducing the construction industry's carbon emissions and realizing the green transformation of the construction industry. The purpose of this study is to reveal the evolutionary mechanism of green innovation behavior in construction enterprises.

This study is based on resource-based theory, Porter's hypothesis and signaling theory. First, a measurement model of the green innovation behavior of construction enterprises was constructed from three aspects: environmental regulation, enterprise resources and public opinion through hierarchical analysis. Then, the state values of the measurement model of green innovation behavior of construction enterprises were calculated through the time series data from 2011–2018. Finally, the Markov chain model was used to predict the evolutionary trend of green innovation behavior of construction enterprises, and the accuracy of the prediction effect of the Markov chain model was verified using the time series data of 2019.

The Markov chain model of green innovation behavior of construction enterprises constructed in this study has high accuracy. This model finds that the transition of the growth state of green innovation behavior in China's construction industry is fluid and predicts the evolution trend of the innovation behavior of construction enterprises. In the future, the green innovation behavior of construction enterprises has a probability of 70.17% to be in a continuous growth state and 40.27% to be in a rapid growth state.

Based on the Markov chain model of green innovation behavior of construction enterprises, this study finds that the transition of the growth state of green innovation behavior of construction enterprises in China has the characteristics of liquidity. In addition, it reveals the development process of the green innovation behavior of construction enterprises from 2011–2018 and predicts the evolution trend of the green innovation behavior of construction enterprises.

This study explores the motivations for sharing personal information and self-disclosure by mentally ill people in public and private Facebook groups. The purpose of the self-disclosure comparison between public and private groups is to understand how mentally ill people use different kinds of online communication channels in order to advance their goals and needs concerning their illness.

The study was carried out using questionnaires distributed in Facebook groups for people with mental illnesses. A total of 123 full and valid questionnaires were received. Statistical analysis was performed on the data.

Findings revealed that there are no significant differences between public and private groups concerning motivations for self-disclosure and that both types of groups create a safe and supportive place for mentally ill people. However, findings suggest that participants in public groups tend to display higher social involvement than those who participate in private groups.

This is a path breaking study on the entire subject of discourse of people with mental illnesses in private Facebook groups and its importance is derived from this. The study clarified and emphasized the importance of the sense of belonging to a community. Moreover, findings encourage people with mental illnesses to make use of social media channels to meet their social and personal needs.

There are many factors that determine consumers’ satisfaction. Specifically, the current study examines how political-economic views affect the perception of public services. This study also aims to extend the relationship between public service satisfaction and political-economic opinion from an empirical perspective.

The analysis process is carried out with the Microdataset of the Life Satisfaction Survey. Independent sample t-test which compares individual public service satisfaction ratings and ordinal probit regression models assesses the impacts of political-economic attitude on public service satisfaction.

According to the findings, household size and gender impact public service satisfaction. Again, service satisfaction diminishes as the education level rises. Moreover, a person’s political-economic view affects their public service satisfaction. The study has the potential to literature in terms of determining society’s political-economic view on public services with these empirical results.

The study’s use of the state as a point of reference and quantitative and qualitative evaluation of the service exchange between the citizen and the state is a significant difference in the literature. Also, unlike the other studies, this one used microdata to test the relationship between the political-economic type and the level of satisfaction with public services at different levels. It is thought that future studies on the determinants of public service satisfaction, to be carried out in different country samples, will contribute to the field.

This study has implications on whether the perception of public service varies according to partisanship status.

This study has implications on whether the perception of public service varies according to partisanship status.

This study determines the interaction between the political-economic typology derived from microdata and the satisfaction level variables related to public services offered at different levels. It also evaluates how public service satisfaction differs regarding personality traits and political-economic attitudes.

With the worldwide open government data (OGD) movement and frequent public health emergencies in recent years, academic research on OGD for public health emergencies has been growing. However, it is not fully understood how to promote OGD on public health emergencies. Therefore, this paper aims to explore the factors that influence OGD on public health emergencies.

The technology–organization–environment framework is applied to explore factors that influence OGD during COVID-19. It is argued that the effects of four key factors – technical capacity, organizational readiness, social attention and top-down pressure – are contingent on the severity of the pandemic. A unique data set was created by combining multiple data sources which include archival government data, a survey of 1,034 Chinese respondents during the COVID-19 outbreak and official COVID-19 reports.

The data analysis indicates that the four factors positively affect OGD, and pandemic severity strengthens the effects of technical capacity, organizational readiness and social attention on OGD.

This study provides theoretical insights regarding how to improve OGD during public health emergencies, which can guide government efforts in sharing data with the public when dealing with outbreak in the future.

Misinformation surrounding the Sustainable Development Goals (SDGs) has contributed to the formation of misbeliefs among the public. The purpose of this paper is to investigate public sentiment and misbeliefs about the SDGs on the YouTube platform.

The authors extracted 8,016 comments from YouTube videos associated with SDGs. The authors used a pre-trained Python library NRC lexicon for sentiment and emotion analysis, and to extract latent topics, the authors used BERTopic for topic modeling.

The authors found eight emotions, with negativity outweighing positivity, in the comment section. In addition, the authors identified the top 20 topics discussing various SDGs and SDG-related misbeliefs.

The authors reported topics related to public misbeliefs about SDGs and associated keywords. These keywords can be used to formulate social media content moderation strategies to screen out content that creates these misbeliefs. The result of hierarchical clustering can be used to devise and optimize response strategies by governments and policymakers to counter public misbeliefs.

This study represents an initial endeavor to gain a deeper understanding of the public’s misbeliefs regarding SDGs. The authors identified novel misbeliefs about SDGs that previous literature has not studied. Furthermore, the authors introduce an algorithm BERTopic for topic modeling that leverages transformer architecture for context-aware topic modeling.

With pay transparency (PT) as an emerging trend in organizations around the world and the European Union promoting open pay regulations, PT is of increasing interest to scientists, managers and policymakers. However, it is still unclear what people think about PT and what theoretical perspectives might explain people's views on transparent pay. Therefore, the purpose of this paper is to explore and systematize opinions about PT and to propose theoretical frameworks to understand different reactions to it.

Qualitative reflexive thematic analysis of the Internet debate that emerged in Poland in 2019 in response to the proposition of new law regulations aimed to improve PT by introducing obligatory pay ranges in job offers.

The author's analysis revealed a set of 41 specific and often opposite opinions about PT, which allow for the systematization of hopes and concerns related to PT around the 7 favorable and 6 unfavorable higher-order themes.

The author's results might inform policymakers and managers about the possible risks and benefits of PT implementation. Revealed opposite opinions about PT raise awareness that PT policies, while solving some social problems, might simultaneously create others.

The author provides new insights into opinions that people hold about transparent pay based on real-world data. The author suggests theoretical perspectives for understanding and predicting reactions to PT, such as Hobfoll's Conservation of Resources Theory and Adam`s Equity Theory. Based on this, the authors propose that opposite opinions about PT might be explained by (a) perceived pay dispersion fairness and (b) perceived PT costs-benefits ratio.