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The use of paper is widespread. It could be used in many purposes, starting from printing industry, over different type of packaging etc. At the same time significant amount of waste paper is generated. As material, paper has excellent recycling properties. Paper could be recycled several times, retaining its original quality. The main goal of this research is to present the current situation in the management of waste paper in the Republic of Serbia. It is evident that awareness of citizens is not satisfying in terms of paper disposal. This is also shown by surveys carried out in the cities Zrenjanin and Novi Sad, which can present the general situation in our country. The research presents the public opinion focused on potential causes of low recycling rate. Using STAN software and Material Flow Analysis (MFA), based on the available amount of waste paper, it is estimated which amount of paper is used as a secondary raw material, and which part of the waste paper ends on sanitary and unsanitary landfills. The results of the assessment may be the starting point for some further research. [ABSTRACT FROM AUTHOR]

Background: Germany is the second most common country of immigration after the US. However, people with own or familial history of migration are not represented proportionately to the population within public health monitoring and reporting. To bridge this data gap and enable differentiated analyses on migration and health, we conducted the health interview survey GEDA Fokus among adults with Croatian, Italian, Polish, Syrian, or Turkish citizenship living throughout Germany. The aim of this paper is to evaluate the effects of recruitment efforts regarding participation and sample composition. Methods: Data collection for this cross-sectional and multilingual survey took place between 11/2021 and 5/2022 utilizing a sequential mixed-mode design, including self-administered web- and paper-based questionnaires as well as face-to-face and telephone interviews. The gross sample (n = 33436; age range 18–79 years) was randomly drawn from the residents' registers in 120 primary sampling units based on citizenship. Outcome rates according to the American Association for Public Opinion Research, the sample composition throughout the multistage recruitment process, utilization of survey modes, and questionnaire languages are presented. Results: Overall, 6038 persons participated, which corresponded to a response rate of 18.4% (range: 13.8% for Turkish citizenship to 23.9% for Syrian citizenship). Home visits accounted for the largest single increase in response. During recruitment, more female, older, as well as participants with lower levels of education and income took part in the survey. People with physical health problems and less favourable health behaviour more often took part in the survey at a later stage, while participants with symptoms of depression or anxiety more often participated early. Utilization of survey modes and questionnaire languages differed by sociodemographic and migration-related characteristics, e.g. participants aged 50 years and above more often used paper- than web-based questionnaires and those with a shorter duration of residence more often used a translated questionnaire. Conclusion: Multiple contact attempts, including home visits and different survey languages, as well as offering different modes of survey administration, increased response rates and most likely reduced non-response bias. In order to adequately represent and include the diversifying population in public health monitoring, national public health institutes should tailor survey designs to meet the needs of different population groups considered hard to survey to enable their survey participation. [ABSTRACT FROM AUTHOR]

The potential of citizen science to address complex issues has been recognized since the 1990s. However, the systematic integration of public opinion in research has been developed only recently, thanks to the spread of questionnaire web-based surveys and artificial intelligence techniques for data elaboration. Starting from this point, we decided to investigate the literature published in Scopus during the decade 2013–2023, regarding citizen science applications for environmental purposes. More specifically, the focus of our study was to evaluate citizen science's benefits and limitations for managing odour emissions in national industrial plants, as well as to discuss the potential integration of a participatory approach in such a field. In fact, according to European Directive 2010/75/EU, the integrated environmental permits released to reduce industrial pollution should also encourage strong public participation. In this systematic review we first applied the principles of PRISMA methodology to select the most significant papers. Then, we discuss the results of 14 publications, through bibliometric statistics and meta-analysis. Only three of them were discovered to have a specific focus on odour emissions. Overall, we pinpointed the main advantages and limitations of citizen science applied to odour pollution management, to open the door for further research. [ABSTRACT FROM AUTHOR]

The World Association for Public Opinion Research (WAPOR) held its 76th Annual Conference in Salzburg, Austria, with the theme "Public Opinion Research in a Technology-Driven World." The conference included interactive workshops, keynote presentations, and panel discussions on various topics such as cross-cultural survey methodology, fake news and disinformation, elections, gender and public opinion research, and more. Several awards were given to recognize outstanding papers and student contributions. The conference organizers also provided student travel grants, and an archive of conference presentations and international poll findings will be launched on the WAPOR website. The next WAPOR conference will be held in Seoul, South Korea in 2024. [Extracted from the article]

Background: Patient and public co-creation and involvement in health initiatives have been witnessing great expansion in recent years. From healthcare to research settings, collaborative approaches are becoming increasingly prevalent and diverse, especially in the field of rare diseases which faces complex challenges. Conference development and implementation, however, have been primarily guided by passive, information-sharing models. There is a need for conferences to evolve towards more inclusive, interactive, collaborative, and problem-solving platforms. Here, we aimed to report on a pioneer model, emphasizing a community partnership approach to conference co-creation that takes the World Conference on Congenital Glycosylation Disorders (CDG) as an exemplary case. Methods: To answer the need to overcome the lack of access to high-quality information which limits CDG diagnosis, research and treatment options, the World CDG Organization has been refining a community-centric model for conference co-creation. Focusing on the 5th edition of the conference, data on stakeholders' preferences was collected using an online survey and a poll to define the conference agenda, guide its development and select optimal dates for an all-stakeholder inclusive, relevant and participatory event. Results: We describe the complexities of the community-centric conference co-creation model, detailing its refined methodology and the outcomes achieved. The model is grounded on a participative approach to promote people-centered research and care for CDG patients. The involvement of the public in the conference co-creation and in participatory methods allowed the generation of knowledge on community needs and preferences. Conclusion: This paper describes a reliable, highly adaptable conference co-creation model that fosters community-building, disseminates understandable information, and serves as a borderless platform to incentivize multiple stakeholder collaborations towards CDG research and drug development. We argue this is a reproducible model that can be endorsed and more widely adopted by other disease communities and events. Plain English summary: In recent years, there has been a growing trend towards involving patients and the public in healthcare and research, transforming traditional conferences that follow a one-way information-sharing approach into inclusive and interactive platforms. This study presents a unique conference co-creation model established by the World Congenital Disorders of Glycosylation (CDG) Organization that emphasizes partnership with the community in its design and implementation. Besides involving the community in the planning phase, the model also uses other participatory methods. The 5th World Conference on CDG, held in 2021, serves as a prime example of this approach. The resulting community partnership model is shown to produce outcomes tailored to community needs, promoting people-centered research and care. This model is reproducible and easily adaptable by other disease communities and events to promote collaboration and problem-solving. [ABSTRACT FROM AUTHOR]

Instead of focusing on "why voters appear to tolerate rather than punish" as most previous literature, this paper advances an alternative explanation: it seeks to explain how voters process information about corruption. Consistent with research on public opinion formation, this paper argues that voters can perceive the same event and make different interpretation about its meaning. Based on an original survey experiment conducted during the 2018 presidential election in Mexico, this study finds that citizens hold partisan attitudes and are motivated to protect these partisan predispositions, which make them interpret common events in different way. In particular, when this study informed voters that an unnamed candidate engaged in corruption, respondents unequivocally considered such actions as corrupt. However, when the name of their co-partisan candidate was explicitly mentioned as engaging in the same activities, voters rejected to qualify them as corrupt. Partisans are not "tolerating" or "condoning" corruption; partisans tend to choose interpretations that rationalize their partisan priors and justify their co-partisans' behavior. [ABSTRACT FROM AUTHOR]

On 26 May 2011, the Russian People's World Council issued a document entitled The Basic Values: The Fundaments of National Unity. The document, prepared by the Synodal Department for Church–Society Cooperation, provided a catalogue of 17 traditional values whose general framework was constituted by a combination of freedom, unity, patriotism, family, and devotion. At that time, the Moscow Patriarchate considered religious faith to be the foundation of traditional values and it continues to do so. The defence and promotion of traditional Russian spiritual and moral values were also central in the Russian National Security Strategy (2015); this was the case in the updated version of this document as well, put out in July 2021. Furthermore, they have been the core of the Moscow Patriarchate's participation in the Council of Europe and of Patriarch Kirill's speeches about the war in Ukraine. Finally, on 9 November 2022, The Foundations Of State Policy For The Preservation Of Spiritual And Moral Values was approved. This framework permits us to understand the strict interplay between the Church and the State in the Russian Federation and to see why it is important to refer to the concept of post-secularism when talking about the role of religion in post-Soviet Russia. Proceeding from the Abstract, the present paper aims to analyse this interplay in a specific sector of visual culture: the cinema and television industries. Manuel Castells highlighted the relevance of cultural values in the age of information and the connection between the values and social mobilization that follows it. He pointed out that the Internet has become a way to render this connection predominant, inevitably leading to the development of social movements and networks that have a religious basis. This is unquestionably true; surveys conducted by the Russian Public Opinion Research Center (OJSC «VCIOM») and by Nevafilm Research confirm that a high percentage of Russians watch films not only at the cinema or on television (especially the older generations) but also on the Internet (as far as the younger generations are concerned). The importance of this market is also confirmed by the success of the cinema and TV distributor Orthodox Encyclopaedia (2005); in the words of the philosopher Sergei Kravets, who, commenting on it during an interview published in 2006 by the website Sedmits.ru, declared that the expression "orthodox cinema" can be understood as a way to express Russian culture. He asserts that "the fact that today Orthodox films have begun to appear on the central TV channels testifies that Russian film producers and viewers have apparently begun to be aware of themselves as Orthodox, to feel that they are bearers of a special Orthodox culture. [..]". At the same time, consideration should be given to the importance of the Russian Orthodox Church and the Minister of Culture's condemnation of films such as Matilda or Monastery. In addition, it is important to consider that, according to a survey conducted in 2022 by the Levada Center, Russian people consider television the most reliable source of information (54%). The long-term implications of this tendency may have very important effects, not only in terms of its objectives but also in terms of the consideration that, after the beginning of the war, many Western film distributors withdrew their licenses from Russia. This paper will analyse "the effect of religion on the institutional system, the regulatory environment of the media and the public sphere" by studying the features of films and TV programs distributed by Orthodox Encyclopaedia, their relations with traditional values promoted both by the Kremlin and the Church, how these have contributed to strengthening the interplay between the Minister of Culture and the Moscow Patriarchate, and the impact this process has had on Russian society and Russia's relations with the European and Western World in the 2005–2022 period. A list of the films and TV programs being discussed will be provided, and then statements about the project and reviews of the serials and films will be analysed. The analysis will be conducted mainly through the official sites of the Russian Orthodox Church and the Kremlin and by browsing the Integrum database. [ABSTRACT FROM AUTHOR]

This paper sorts out and discusses the different methods used in the analysis of China-related public opinion, builds a theoretical system of public opinion analysis methods on this basis, conducts case analysis and research on hot public opinion combined with corpus, and selects the semantic analysis method from the technical level supporting the public opinion analysis method. From the perspective of related technologies involving intelligent analysis methods, comparative analysis and improved applications are given, which provides an effective analysis basis for government public management departments to fully grasp and guide China-related public opinion. Sentiment tendency analysis is also an important direction of Chinese-related public opinion research. This paper sorts and analyzes China-related public opinion from the characteristics, applications, and text processing methods of different granularities and builds and improves the annotation model for the smallest granularity. The frequency, trend, and evolution characteristics of China-related public opinion events are sorted out and analyzed, and the trend analysis method is used to analyze the evolution trend of attention of public opinion events. The distribution of individual opinion acceptance, trust threshold, and opinion leaders are simulated by experiments. The impact on the evolution of China-related public opinion was determined. The experimental results show that the effect of the method proposed in this paper is improved by about 10% compared with the direct use of statistical learning methods for emotional orientation analysis. The SVM method also has obvious advantages over the Bayesian method, especially the combination of the SVM method and the bigram method which gives the best results. [ABSTRACT FROM AUTHOR]

With the advancement of technology and the arrival of the era of integrated media, big data, artificial intelligence, cloud computing, and virtual reality are gradually changing the ecology of public opinion. This will bring new challenges to the technical discovery, data analysis, and response of network disease dissemination to public opinion. Internet data barriers are still widespread. The specific requirements are to explore the application mode of blockchain technology to bring a better service experience to the people. Therefore, this paper focuses on the dissemination of disease public opinion information and risk management research in the blockchain environment. Furthermore, the application of advanced blockchain technology is used to seek breakthroughs in the field of risk management of network disease transmission and public opinion in terms of technology and data. This paper systematically sorts out the research results of domestic and foreign disease transmission network public opinion, public opinion risk management, and blockchain through comprehensive use of literature analysis, grounded research, empirical research, simulation research, and other research methods. Based on theories of the disease transmission network, public opinion, risk management, blockchain, and system dynamics, we conduct research on network public opinion and risk management of disease transmission in the block chain environment. At the theoretical level, the research in this paper can promote the risk management of disease transmission network public opinion in the blockchain environment and carry out the construction of the theoretical system to deepen the application of blockchain technology in the field of disease public opinion risk management. At the practical level, the research in this paper can guide the improvement of the effect of public opinion risk management. Then, blockchain technology is applied to manage the risk of disease public opinion. In future research, the theory of public opinion risk management will be further enriched. We will apply blockchain technology to develop the evolution of the risk of disease public opinion transmission, carry out research on public opinion management and other aspects, and at the same time, try the design and development of a blockchain public opinion system. In this way, the innovation of blockchain in the development and application of disease network public opinion research will be promoted. [ABSTRACT FROM AUTHOR]

Across numerous African societies, a prevalent resistance to LGBTQ rights is evident. While prominent strides have been made on LGBTQ rights in various parts of the world, the African context has witnessed limited progress. Public opinion polls indicate that influential figures have succeeded in altering public sentiment towards LGBTQ rights in Western countries, yet such progress remains elusive in the African context. Mechanisms effective in shifting public attitudes toward embracing LGBTQ rights remain largely unexplored, especially in the African context. In this paper, we consider whether endorsement messages conveyed by trusted authorities possess the potential to foster a shift in attitudes towards embracing LGBTQ rights among a nationally representative sample of respondents in Ghana. Through a factorial experiment, we find that there are varying impacts of messaging from distinct trusted authorities in shaping attitudes toward embracing LGBTQ rights. Notably, pro-LGBTQ messaging from traditional and co-partisan leaders yields modest effects, while messaging from religious leaders exhibits no discernible impact. These findings hold significance for determining strategic focal points in potential endeavors to advance LGBTQ rights within the African context. [ABSTRACT FROM AUTHOR]

Public opinion polls have become vital and increasingly visible parts of election campaigns. Previous research has frequently demonstrated that polls can influence both citizens' voting intentions and political parties' campaign strategies. However, they are also fraught with uncertainty. Margins of error can reflect (parts of) this uncertainty. This paper investigates how citizens' voting intentions change due to whether polling estimates are presented with or without margins of error. Using a vignette experiment (N=3224), we examine this question based on a real‐world example in which different election polls were shown to nationally representative respondents ahead of the 2021 federal election in Germany. We manipulated the display of the margins of error, the interpretation of polls and the closeness of the electoral race. The results indicate that margins of error can influence citizens' voting intentions. This effect is dependent on the actual closeness of the race and additional interpretative guidance provided to voters. More concretely, the results consistently show that margins of error increase citizens' inclination to vote for one of the two largest contesting parties if the polling gap between these parties is small, and an interpretation underlines this closeness. The findings of this study are important for three reasons. First, they help to determine whether margins of error can assist citizens in making more informed (strategic) vote decisions. They shed light on whether depicting opinion‐poll uncertainty affects the key features of representative democracy, such as democratic accountability. Second, the results stress the responsibility of the media. The way polls are interpreted and contextualized influences the effect of margins of error on voting behaviour. Third, the findings of this paper underscore the significance of including methodological details when communicating scientific research findings to the broader public. [ABSTRACT FROM AUTHOR]

As the international community attempts to unite to combat climate change, American party politics could hardly be more divided on this issue. This paper offers an additional explanation for how US congressional politics on environmental policy has polarized: the ongoing education realignment in American party politics. As the Democratic Party increasingly relies on college-educated voters and the opposite is true for the Republican Party, this can affect the parties' positions on environmental policy based on public opinion research which finds a positive relationship between education and pro-environment attitudes. Using League of Conservation Voters legislative scorecards from 1983 to 2020, this paper finds the education realignment contributed to the removal of pro-environment Republicans and anti-environment Democrats in Congress in recent decades; and this primarily occurred through elite replacement rather than conversion. [ABSTRACT FROM AUTHOR]

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The paper considers American active learning (AL) practices that can be used in a virtual language learning classroom in Ukrainian higher education institutions to encourage students’ engagement, collaboration and evaluate their performance. The authors study the concept of AL, its main techniques and peculiarities of application; outline technologies and tools that have the potential to influence active language learning (ALL) in a virtual classroom; define the techniques that can be used to promote ALL in a virtual classroom (polls and surveys, discussions and forums, case studies, interactive lectures, simulations and games, collaborative projects, personalized learning). Particular attention is paid to online AL strategies applied by Columbia University and Cornell University (USA). Here belong Online Polling, Think-Pair-Share, a Minute Paper, Small Group Discussion and Short Student Presentation strategies, each of them requiring appropriate online learning platforms, services and tools for its effective implementation. They include Zoom videoconferencing platform with its breakout rooms, polling, screen sharing, whiteboard and nonverbal feedback features, Poll Everywhere, CourseWorks Quiz, Canvas Quiz features, collaborative online tools such as LionMail (Google) Docs, Sheets, Slides, etc. Another important issue considered in the paper is assessment and evaluation of students’ progress in AL. Assessment techniques used in Cornell University comprise Grading Rubrics, plagiarism detection, self-assessment, peer assessment, surveys and classroom polling. In this context, Canvas Rubrics, Canvas Assignments, FeedbackFruits, Gradescope, Qualtrics, Turnitin can be used as effective assessment tools. The authors conclude that the main advantages of ALL are its flexibility, collaborative learning opportunities, customization options, access to online resources while its challenges involve lack of face-to-face interaction, technical difficulties, high pricing plans for some online services and tools, variety of distractions such as social media, email, or other online activities, and limited learning environment. [ABSTRACT FROM AUTHOR]

This paper analyses the initial critical points of the EU's weakness in quickly responding to the crisis and the Chinese assertiveness in using vaccine diplomacy to achieve European political objectives. With the case study based on indicative research on public opinion, the paper provides a more profound understanding of the impact of Chinese-related activities in the CEE region, particularly concerning EU coherence and solidarity. The paper concludes that the Chinese presence in Europe via "vaccine diplomacy" threatens the unity of the EU and the CEE region. [ABSTRACT FROM AUTHOR]

Several reports published in the current issue of the journal are presented includng on measuring public opinion, opinion polling and review of opinion polls.

The objective of this paper is to better understand the evolution and institutional roots of Hong Kong's growing economic inequality and political cleavages. By combining multiple sources of data (household surveys, fiscal data, wealth rankings, national accounts) and methodological innovations, two main findings are obtained. First, he evidence suggests a very large rise in income and wealth inequality in Hong Kong over the last four decades. Second, based on the latest opinion poll data, business elites, who carry disproportionate weight in Hong Kong's Legislative Council, are found to be more likely to vote for the pro-establishment camp (presumably to ensure that policies are passed that protect their political and economic interests). This paper argues that the unique alliance of government and business elites in a partially democratic political system is the plausible institutional root of Hong Kong's rising inequality and political cleavages. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to study the impact of the 2016 presidential election polls on the stock market. Design/methodology/approach: The empirical model includes daily stock returns as the dependent variable and past asset prices, 10-year treasury rates, opinion polls and VIX (market uncertainty) as explanatory variables with a one-year lag. The model was estimated using two sets of daily polling data: from July 1, 2015, to November 8, 2016, and from June 1, 2016, to November 8, 2016. Additional descriptive statistics, such as means and standard deviations, were also calculated. Findings: The estimated results did not reveal any statistically significant effects of opinion polls in favor of one candidate over another on stock returns. Simple statistical tests, however, show that the market performed better when Trump held a polling advantage over Clinton. Originality/value: To the best of the authors' knowledge, this is the only study that has examined the effects of the 2016 presidential election polls on the US stock market. This study adds value to the understanding of the relationship between election polls and the stock market in the USA. [ABSTRACT FROM AUTHOR]

The significance of research on public opinion monitoring of social network emergencies is becoming increasingly important. As a platform for users to communicate and share information online, social networks are often the source of public opinion about emergencies. Considering the relevance and transmissibility of the same event in different social networks, this paper takes the COVID-19 outbreak as the background and selects the platforms Weibo and TikTok as the research objects. In this paper, first, we use the transfer learning model to apply the knowledge obtained in the source domain of Weibo to the target domain of TikTok. From the perspective of text information, we propose an improved TC-LDA model to measure the similarity between the two domains, including temporal similarity and conceptual similarity, which effectively improves the learning effect of instance transfer and makes up for the problem of insufficient sample data in the target domain. Then, based on the results of transfer learning, we use the improved single-pass incremental clustering algorithm to discover and filter popular topics in streaming data of social networks. Finally, we build a topic knowledge graph using the Neo4j graph database and conduct experiments to predict the evolution of popular topics in new emergencies. Our research results can provide a reference for public opinion monitoring and early warning of emergencies in government departments. [ABSTRACT FROM AUTHOR]

Prior research has ignored the influence of fluctuation factors on online public opinion in emergencies, which has led to low prediction accuracy. This paper determines fluctuation factors through text analysis and emotional calculation; it identifies the main factors that cause the fluctuation in public opinion through the Granger causality test. Furthermore, we built a trend prediction model based on the gray prediction model and optimized it by considering the fluctuation factors of online public opinion. Optimization enhances the precision of the model and makes it more suitable to forecast trends for online public opinion. Finally, by looking at a large number of online public opinion on four kinds of typical emergencies, we verified the validity of the proposed model. In short, this paper provides a novel theoretical perspective for trend prediction of online public opinion research. [ABSTRACT FROM AUTHOR]

This paper evaluates whether lobbying influence is open to the highest bidder or boosted by congruence with popular opinion. Common wisdom holds that well‐endowed organizations prevail in lobbying battles. This perception contrasts with recent observations, which point to the decisive role of public opinion. This paper unites these seemingly contrasting stances by arguing that both economic resources and congruence with public opinion are paramount for lobbying influence. What matters, we argue, is the interplay between the two. Lobby groups that already enjoy substantial economic capacities are expected to benefit most from congruence with public opinion. We test our expectations in the context of European Union policy making. We draw from a sample of 41 policy issues for which public opinion polls were conducted, an extensive content analysis of 2,085 news articles and 183 lobbyists' survey responses. We demonstrate that interest groups with more economic resources are generally more influential, but only if their policy positions are congruent with a public majority. [ABSTRACT FROM AUTHOR]

The publicly available texts of the George W. Bush administration from September 11, 2001, to March 19, 2003, as presented in The Public Papers of the Presidents of the United States, were analyzed for word frequency and the words themselves analyzed for emotional weight using the NRC Emotion Intensity Lexicon. Transcripts of six television news agencies (ABC, CBS, NBC, CNN, FOX, and PBS) were also analyzed for word frequency to determine the extent to which these agencies may have repeated and consequently amplified the rhetoric of the administration. Public opinion polling for this same period was examined in an attempt to gauge the effect the government's rhetoric concerning Iraq and Saddam Hussein and the echoing of that rhetoric by television news might be having on the public's receptivity to the idea of going to war with Iraq. [ABSTRACT FROM AUTHOR]

A common assumption in the literature is that the actual level of income inequality shapes individuals' beliefs about whether the income distribution is fair ("fairness views," for short). However, individuals do not directly observe income inequality (which often leads to large misperceptions), nor do they consider all inequities to be unfair. In this paper, we empirically assess the link between objective measures of income inequality and fairness views in a context of high but decreasing income inequality. To do this, we combine opinion poll data with harmonized data from household surveys of 18 Latin American countries from 1997–2015. We find a strong and statistically significant relationship between income inequality and unfairness views across countries and over time. Unfairness views evolved in the same direction as income inequality for 17 out of the 18 countries in our sample. We find that individuals who are older, unemployed, and left-wing are, on average, more likely to perceive the income distribution as very unfair. Finally, we find that fairness views and income inequality have predictive power for individuals' self-reported propensity to mobilize and protest independent of each other, suggesting that these two variables capture different channels through which changes in the income distribution can affect social unrest. [ABSTRACT FROM AUTHOR]

The aim of this paper is to interpret the political discourse employed in the process of integrating foreign nationals into Spain's Armed Forces (2002-2017) and collate it with a wide range of primary sources. The sources include statistics from the Spanish Ministry of Defence, legislation, opinion polls conducted by the public research institute the Centre for Sociological Research (CIS) and data series from Spain's official statistics agency (INE). The study takes a constructivist approach that seeks to uncover the implicit elements underlying the discourses of public policies, ideas and ideological concepts. It offers a view that is complemented by a historical reconstruction of the facts and an institutional analysis that combines formal elements (laws, policies and opinion polls) with informal components (non-codified practices or ideas and shared meanings). [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

It is urgent to effectively monitor the public opinion of the news communication platform. The platform designed in this paper takes microblog public opinion as the research goal, uses MongoDB to build a distributed computing platform for sensitive information of news communication platform, establishes a corpus of sensitive event topics, introduces PageRank algorithm to deal with microblog social relations, obtains the characteristics of sensitive information of news communication platform, and carries out information screening, so as to accurately screen and mine the keywords in high impact information. To ensure the practical application effect of sensitive information mining method of news communication platform based on big data analysis. Finally, the experiment proves that the sensitive information mining method of news communication platform based on big data analysis has the advantages of high timeliness and high accuracy, which fully meets the research requirements. This is fully in line with the requirements of the study. [ABSTRACT FROM AUTHOR]

Although the perspective of religious identity as a crucial element of national identity has been less "visited" lately, diverse opinion polls indicate that there is a sound correlation of religious and national identities. The paper investigates this thesis of the convergence of national and religious identity after the communist atheist dominance, which is in Romania and Europe not only a landmark event, but also a favourable factor for a relative renewal of the correlation. There are common values and ideals appreciated by individuals as constitutive for both their national identity and religious identity. Take for instance an imperative such as "Blessed are the peacemakers!" and the correlated civic attitude and action promoting hopes and renewed solidarities. The paper addresses the fortunate correlation of religious principles and values with social security themes and with climate change themes. We notice that in the Romanian case, religious identity has played a very important role in the constitution of the Romanian State, and, in contemporary times, in the Romanian case, we see indeed a convergence of the national and religious identity and a confirmation of the announced thesis. [ABSTRACT FROM AUTHOR]

In the current era of more extreme political and religious views coming into the mainstream, this paper investigates whether party affiliation is associated with the concept of religious morality more than political ideology. To answer this research question, we construct an empirical scale of religious morality based on data from opinion polls, which remain among the most efficient and widespread survey methods to capture psycho-social data at large scales. Classification models, using ideology and religious morality as predictors, respectively, were compared on their performance in predicting party affiliation. Response data on just four questions from a national opinion poll were used to demonstrate the viability of constructing a parametric scale using item response modeling approaches. Results show that even with 'small data', a measurement-based and data-driven approach can produce classification models that are both statistically precise and accurate. Finally, we discuss the findings and the implications for both politics and psycho-social measurement. [ABSTRACT FROM AUTHOR]

While politicians and scholars have debated the meaning, value, and purposes of multiculturalism for decades, less attention has been paid to the views of a broader group of Britons. In this paper I analyze the meaning of multiculturalism for elite university students in Britain. Many British leaders spend their early adulthood in elite universities. Do they hold the same conceptions of multiculturalism that scholars, the media, and politicians espouse? And, do they express strong support for multiculturalism (as they understand it) as discussions about political division in Britain assume? This paper answers these important questions by analyzing 67 in-depth interviews with undergraduates at Oxford University. I find that students define multiculturalism as a diverse array of ethnic groups living in the same society. Most simultaneously report little impact on their lives. Still, a significant minority express concerns about a perceived lack of integration and impingement on traditional British culture. These findings demonstrate precarious support for multiculturalism even among those who express more tolerant, inclusive understandings of British society related to immigration and Brexit in opinion polls. [ABSTRACT FROM AUTHOR]

Copyright of Canadian Journal of Economics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: Under the background of coexistence of information overload and information fragmentation, it is of great significance to identify influencing factors and reveal the evolution logic of public opinion for public opinion governance. Design/methodology/approach: Taking 24 hot social events as research cases, firstly, the evolution process of public opinion was divided into initial stage and response stage. Secondly, eight antecedent variables were extracted for qualitative comparative analysis of fuzzy sets. Finally, the configuration path of public opinion evolution results was summarized. Findings: The research showed that compared with the initial stage, the influencing factors in the reaction stage played a key role in the continuous evolution of public opinion. The influencing factors in the initial stage and response stage played an indispensable role in promoting the evolution of public opinion to calm down. Practical implications: This research can provide reference for regulators to timely grasp the initiative, discourse power and leadership of public opinion development. Originality/value: Research on the two-stage configuration path of public opinion evolution is helpful to clarify the key factors affecting the evolution trend of online public opinion of hot events. [ABSTRACT FROM AUTHOR]

This paper examines whether proactive efforts to educate people about disinformation through advertisements can successfully increase skepticism towards false headlines or if such efforts do more harm than good by inadvertently increasing belief in false information. We analyze a survey experiment that employed three different advertisements that directly addressed "fake news." We find that all advertisements were effective at increasing skepticism towards "fake news" headlines. We also find no evidence of backfire effects occurring. However, subsequent analysis using Bayesian additive regression trees (BART) finds significant heterogeneity within these treatment effects. While all advertisements were effective, each ad was effective in different ways despite common themes and content. This suggests a more complicated understanding of the counter-disinformation process and highlights BART's utility in public opinion research. [ABSTRACT FROM AUTHOR]

Over the last two decades, China has become increasingly influential in Africa, and the US policy pivoting to confront domestic challenges and withdrawing from its role in international fora has raised many concerns. Based on this global context, this paper examines the US-China soft power competition through foreign aid. It takes a relational lens to analyze their aid to the African countries. It first looks at how foreign aid could be transformed into soft power assets, and then innovatively puts the two countries side by side and examines the relational powers of their foreign aid and the impacts on the other's national image. The paper uses ordered (Ordinary Least Squares) OLS, ordered logit, and IV regression to analyze aid data and opinion poll data. The results show that foreign aid can promote the African perceptions of both countries. It also finds that Chinese aid has a negative impact on the image of the US in Africa, while American aid has no significant effect on African perception of China. This conclusion aligns with the competitive nature of the US–China relationship. China's model of aid may be preferred by Africans, while the US may need to revisit its approaches in Africa in order to turn this situation around. [ABSTRACT FROM AUTHOR]

Copyright of Gdansk Journal of East Asian Studies / Gdanskie Studia Azji Wschodniej is the property of Jagiellonian University Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This is a brief about past and future activities of the World Association for Public Opinion Research and its members, as well as previews of forthcoming conferences and seminars. [ABSTRACT FROM AUTHOR]

In large-scale social media, sentiment classification is a significant one for connecting gaps among social media contents as well as real-world actions, including public emotional status monitoring, political election prediction, and so on. On the other hand, textual sentiment classification is well studied by various platforms, like Instagram, Twitter, etc. Sentiment classification has many advantages in various fields, like opinion polls, education, and e-commerce. Sentiment classification is an interesting and progressing research area due to its applications in several areas. The information is collected from various people about social, products, and social events by web in sentiment analysis. This review provides a detailed survey of 50 research papers presenting sentiment classification schemes such as active learning-based approach, aspect learning-based method, and machine learning-based approach. The analysis is presented based on the categorization of sentiment classification schemes, the dataset used, software tools utilized, published year, and the performance metrics. Finally, the issues of existing methods considering conventional sentiment classification strategies are elaborated to obtain improved contribution in devising significant sentiment classification strategies. Moreover, the probable future research directions in attaining efficient sentiment classification are provided. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is twofold: first, to develop, test and validate a set of dimensions that can verify whether any specific online survey tool can be effectively developed and deployed; second, to provide a framework and working topology for web-based survey tool selection. Design/methodology/approach: A panel comprised of five experts determined the validity of the proposed dimensions the authors compiled from extensive feature research of the top online survey software identified by Alexa and Datanyze, which allows for web survey data to be pulled in a customizable fashion over a selected period of time. The validated dimensions were then ranked via a paper survey (n = 98) in a controlled environment using a 9-point Likert scale. Findings: There was no strong correlation between highest-ranked dimensions and the market share and use of a particular online survey tool. However, overall dimension ranking dominance did predict an online survey tool obtaining higher market implementation and use. In addition, the influence of business roles on dimension weights should be considered when selecting survey software. Finally, two additional dimensions not prevalent in existing research – data analysis and technical support – must be considered in survey tool selection. Practical implications: Online survey tools are increasingly supplementing or replacing random telephone-based opinion and polling surveys for data collection on important social issues, political candidacies, etc. Representative samples yielding the most accurate results are more easily obtained via mixed-mode methods that incorporate online survey tools. Originality/value: The paper's findings suggest which dimensions must be present for widespread acceptance and implementation of a successful web-based online survey tool. Organizations must be able to assess a particular survey tool's viability for their specific purposes. The dimensions presented here can be developed into an effective adoption heuristic to meet an organization's particular requirements. Findings suggest that when evaluating survey software, one must remain cognizant of the various business roles associated with survey software to better account for decision-maker tendencies. For example, managers place greater emphasis on overall cost whereas developers may value survey creation and integration features. [ABSTRACT FROM AUTHOR]

Inward foreign direct investments are usually cited as an essential tool for economic growth and are often listed as one of the priorities by national governments, especially in transition countries strive. When local communities are concerned, the economic effects of international capital flows in principle should not differ from the national economy. Despite the threats they can also pose, they should mostly represent the opportunity for technological improvements and raising the competitiveness of the economy. When inward foreign direct investments are more or less limited to a local community, its leadership is in a position to follow them carefully. In this case, they are usually also well informed on sentiments of the population regarding these investments. These processes may add to the governments' responsibility when planning the investments but often also add to the transparency of other stakeholders, which could help the governments to manage foreign direct investments in the local community. To offer a novelty with research in the field, the authors added this perspective to existing studies, predominantly analysing foreign direct investment effects in the national economy. The paper brings a comparative analysis of sentiments in local communities in Slovenia and Serbia. Statistical analysis based on opinion polls, although not free of statistical risks, enabled expected conclusions but also opened new insights. [ABSTRACT FROM AUTHOR]

Copyright of Collected Papers of the Law Faculty of the University of Rijeka / Zbornik Pravnog Fakulteta Sveučilišta u Rijeci is the property of Pravni fakultet Sveucilista u Rijeci and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Network public opinion is a mirror reflecting people's will, and evaluating its urgency can help to find hidden social crises. Research on public opinion in the field of machine learning usually focuses on micro-sentiment judgment, which is unable to offer support for the evaluation of public opinion events without additional data, and research from the perspective of artificial weighting has the disadvantage of the confusion of explanation. Judging the urgency of public opinion events is usually based on human perception, which is fuzzy and conforms to the attribute of fuzzy mathematics. Therefore, the index system in this paper was constructed in line with five principles, from which the weights were scientifically evaluated by integrating the DEMATEL and ANP model, and fuzzy mathematics was applied to determine the urgency level of public opinion. The result has three-fold significance. First, the index system constructed was more closely linked. Second, the integration of the DEMATEL and ANP weight calculating model took the interdependence of indicators fully into account. Third, fuzzy mathematics provided support for determining the public opinion crisis level, especially in the absence of immediate dissemination data. [ABSTRACT FROM AUTHOR]

What determines the credibility of opinion polls, and for whom? Opinion polls assessing voting intention are an increasingly prominent aspect of pre-election media discourse, yet they often vary in terms of their estimations, who conducted the poll, and where the poll is ultimately published. This research note considers the determinants of pre-election poll credibility when citizens are exposed to conflicting polls, contributing to a growing field which considers the subjectivity with which partisan-relevant information is perceived in polarised contexts. Using a conjoint analysis in Turkey, this paper produces strong evidence that polls are perceived differently across partisan lines. Whereas government supporters rely almost exclusively on a poll's result, opposition supporters place considerably more weight on the media source when determining poll credibility. [ABSTRACT FROM AUTHOR]

A significant percentage of US households have at least one pet. A recent poll found that over 90% of pet owners feel their pet is a family member, suggesting the definition of "family" should include pets. Some studies have found that pet ownership has physical, mental, and social health benefits for the owner, although other research has not found this. It is thought this variability is due to methodological issues. A significant issue identified is measurement problems, including a lack of validity and reliability evidence. Measurement equivalence is an important type of this evidence, and Black/African Americans should be included in research on this as they are an understudied, historically marginalized population. The Family Bondedness Scale (FBS) is a recently developed measure of the degree to which a pet owner feels emotionally bonded to their pet in a manner comparable to their emotional bonding with a human member of their family. This paper describes a measurement equivalence study of the FBS between Black/African American (n = 496) and White (n = 405) pet-owning populations. Results of multi-group confirmatory factor analyses with covariates were consistent with configural, metric, and threshold equivalence between Black/African American and White pet owners. The use of this measure in research and professional practice for numerous professions, including veterinary medicine, social work, veterinary social work, psychology, and other professions is considered. Implications for future measurement equivalence and validity research on scores from the FBS are also discussed. [ABSTRACT FROM AUTHOR]

In this paper, we aim to investigate optimal control to a mathematical model that describes agreedisagree opinions during polls in a multi-zone framework. We first present the model and recall its different compartments and we present some properties of the multi-zone model. We formulate the optimal control problem by supplementing our model with a functional objective. Optimal control strategies are proposed to reduce the number of disagreeing people in a targeted zone and the cost of interventions. We prove the existence of solutions to the control problem, and we employ the Pontryagin’s maximum principle to find the necessary conditions for the existence of the optimal controls and Runge- Kutta forward-backward sweep numerical approximation method is used to solve the optimal control system, and perform numerical simulations using various initial conditions and parameters to investigate several scenarios. [ABSTRACT FROM AUTHOR]

This paper has put forward a new indicator based on the "ABC‐model" of attitudes designed to capture individual‐level Euroscepticism. We constructed a composite anti‐EU score based on affective, behavioural and cognitive sub‐indices. The study analyses data from a representative, countrywide Hungarian public opinion research. Looking for the drivers of anti‐EU attitudes, we took an integrative approach linking various theories of voting behaviour, Euroscepticism and populism studies. Our research showed that subjective well‐being significantly reduces anti‐EU attitudes. We found some empirical support for the "left behind thesis" in the Hungarian context, as severe economic grievances and fear of losing social status explained anti‐EU attitudes. Authoritarian traits turned out to be a major driver of Euroscepticism in Hungary. We proved that cosmopolitan values reduce affective and cognitive anti‐EU attitudes, but foreign experience and some international ties significantly correlated with anti‐EU stance. We confirmed that being a supporter of the governing Fidesz party and sharing culturally right‐wing political views significantly increase anti‐EU attitudes. We also revealed that partisanship's effect is strengthened by affective polarization and political interest. [ABSTRACT FROM AUTHOR]

Between 2010 and 2018, Australia saw four sitting prime ministers deposed by their own parties, giving the country the title "the coup capital of the democratic world". In this paper, we use Australian Election Study surveys and commercial opinion poll data to analyse what voters thought of these changes and whether they lifted the electoral fortunes of their respective parties. The results suggest that voters' views of the changes depended on the popularity of the leader in question, but that a desire to see better economic performance reinforced support for a change in prime minister. There is little evidence that opinion polls played a role in any of the changes, at least for voters. There is also no evidence that the changes improved the subsequent vote for each of the parties that changed a prime minister; indeed, in three of the four cases the party vote declined significantly following the change. [ABSTRACT FROM AUTHOR]

During the election period, many polling agencies survey and distribute the approval ratings for each candidate. In the past, public opinion was expressed through the Internet, mobile SNS, or community, although in the past, people had no choice but to survey the approval rating by relying on opinion polls. Therefore, if the public opinion expressed on the Internet is understood through natural language analysis, it is possible to determine the candidate's approval rate as accurately as the result of the opinion poll. Therefore, this paper proposes a method of inferring the approval rate of candidates during the election period by synthesizing the political comments of users through internet community posting data. In order to analyze the approval rate in the post, I would like to suggest a method for generating the model that has the highest correlation with the actual opinion poll by using the KoBert, KcBert, and KoELECTRA models. [ABSTRACT FROM AUTHOR]

The purpose of this note is to consider the effect of perception noise when voters form public opinions. We provide a simple theoretical framework that will form the basis to investigate empirically the effect of news uncertainty on voters' attentiveness when forming public opinion, or nowcasts. An attentive voter will consistently update their information set. Therefore, if voters' nowcasts are consistent, any revision of the nowcasts must only reflect new information. We specifically consider how news uncertainty may affect voter attentiveness. The paper focuses on US presidential competence and popularity indices. We find that the nowcasts are consistent during periods of low news uncertainty but highly persistent when news uncertainty is high. [ABSTRACT FROM AUTHOR]

Causal inference and American political development (APD) are widely separated and (to some) fundamentally incompatible tendencies within political science. In this paper, we explore points of connection between those two perspectives, while also highlighting differences that are not so easily bridged. We stress that both causal inference and APD are centrally interested in questions of causation, but they approach causation with very different ontological and epistemological commitments. We emphasize how the sort of detailed, contextualized, and often qualitative knowledge privileged by APD can promote credible causal (and descriptive) inferences, but also that scholars of causal inference can benefit from alternate conceptions of causality embraced by APD work. We illustrate with two empirical examples from our own research: devising weights for quota-sampled opinion polls and estimating the political effects of the Tennessee Valley Authority. We conclude that bringing APD and causal inference together on more equal terms may require a broader perspective on causation than is typical of scholarship in the causal-inference tradition. [ABSTRACT FROM AUTHOR]

The article discusses a paper on data quality in non-probability and probability samples and polls by authors Dutwin and Buskirk within the issue, commenting on generalizability, variables and accuracy of the paper's research.

This study is an analysis of four Nigerian newspaper editorials' (the Guardian, Vanguard, Independent and Leadership) coverage of the 2015 general elections in Nigeria. Peace and solution journalism perspectives provided the theoretical insights through which the examination is made. This qualitative study, located within an interpretivist tradition, identified 101 election-related editorials for the study. Using a purposive sampling technique, 25 editorials that were illustrative of the three themes: violence-free polls, rational voting, and credible electoral process, which emerged from reading and re-reading of the editorials, were selected for analysis. The research showed that the editorials sought to a. redirect the attention of the electorate caught up in the personalisation of issues by politicians towards key issues affecting the nation, to guide their electoral decisions, b. appeal to political actors to stem the spate of violence in the polity and c. advocate for a credible electoral process to produce leadership that would be truly reflective of the wishes and aspirations of the people. The editorials made moral and ethical appeals urging "supra-national" and patriotic attitudes as well as more detailed process interventions. This study highlights the role of editorials in peacebuilding efforts at such times as elections. [ABSTRACT FROM AUTHOR]