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Kubiak, Przemysław. "STAN NIETRZEŹWOŚCI JAKO „AFEKT” W RZYMSKIM PRAWIE KARNYM?" Zeszyty Prawnicze 15, no. 1 (December 5, 2016): 33. http://dx.doi.org/10.21697/zp.2015.15.1.02.
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Drunkenness – a “Passion” in Roman Criminal Law?SummarySince ancient times jurists and lawyers have had to handle offencesconnected with alcohol abuse. There are only three texts on drunkenness in the Roman legal sources: two relate to offences committed byinebriate soldiers, and the third contains the basic division into intentional offences, accidental offences, and crimes of passion. In all threecategories drunkenness was a mitigating factor, which may be surprising for modern lawyers. Other Roman sources present public opinionon drinking, which seems to have depended on the circumstances– heavy drinking and alcoholism were disapproved of. A precise analysis of the rhetorical writings shows elaborate distinctions betweenintentional and unintentional acts. Drunkenness was regarded as anemotional state which could influence the penalty, but the specific circumstances of the offence were crucial. The rhetorical works confirmthe views presented in poetry and philosophy. Contrary to the legalsources, the facts seem to show that a judge could sentence an offenderto a severe or mild punishment, or even acquit him if drunkenness hadbeen a factor contributing to the offence. The rhetorical works may beconsidered to provide not only an important theoretical background tothe legal sources, but also crucial supplementary information givinga better insight into Roman criminal law.
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Altman, Drew, and Mollyann Brodie. "Opinions On Public Opinion Polling." Health Affairs 21, Suppl1 (January 2002): W276—W279. http://dx.doi.org/10.1377/hlthaff.w2.276.
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Druckman, James N., and Thomas J. Leeper. "Is Public Opinion Stable? Resolving the Micro/Macro Disconnect in Studies of Public Opinion." Daedalus 141, no. 4 (October 2012): 50–68. http://dx.doi.org/10.1162/daed_a_00173.
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Public opinion matters, both as a central element of democratic theory and as a substantive foundation for political representation. The origins and nature of public opinion have long attracted the attention of social scientists. Yet a number of questions remain; among the more perplexing is whether–and under what conditions–public opinion is stable. The answer depends in large part on whether one looks at aggregations of individual opinions (macro public opinion) or at the individual opinions themselves (micro public opinion). In this essay, we explore the macro/micro divide and offer a framework to determine when opinions are likely to be stable or volatile. This framework reflects both the content of the political environment and the nature of individuals' opinions. Using public opinion dynamics surrounding the Patriot Act as a primary example, we discuss the role of opinion stability in interpreting public opinion and in understanding the normative implications of public preferences.
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Bavaresco, Agemir. "Public Opinion and Sensus Fidelium." Daímon, no. 77 (January 17, 2019): 7–19. http://dx.doi.org/10.6018/daimon/280201.
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Public opinion and religious opinion are located within plural societies, connected to social networks. The experience of the phenomenon of public opinion by the believers interacts with the experience of religious opinions. What are the mediations employed by the sensus fidelium to explain the contradictions between public and religious opinion? This article discusses the proximity between public and religious opinions through the categories of publicity, contradiction, utility and truth. In networked societies, the faithful exercise the right to express their opinions and religious convictions. The phenomenon of the sensus fidelium immediately evidences the experience of faith of the believers as subjective convictions and religious opinions. Afterwards, these opinions are mediated by the collegiate spheres of the Church, expressing the coherence of the belief, that is, its truth. The proximity between public and religious opinions points to more complex scenarios for the Church and the believers.
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WU, YUE, YONG HU, and XIAO-HAI HE. "PUBLIC OPINION FORMATION MODEL BASED ON OPINION ENTROPY." International Journal of Modern Physics C 24, no. 11 (October 14, 2013): 1350080. http://dx.doi.org/10.1142/s0129183113500800.
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In this paper, we introduce the concept of opinion entropy based on Shannon entropy, which is used to describe the uncertainty of opinions. With opinion entropy, we further present a public opinion formation model, and simulate the process of public opinion formation under various controlled conditions. Simulation results on the Holme–Kim network show that the opinion entropy will reduce to zero, and all individuals will hold the opinion of agreeing with the topic, only by adjusting the cons' opinions with a high control intensity. Controlling the individuals with big degree can bring down the opinion entropy in a short time. Besides, extremists do not easily change their opinion entropy. Compared with previous opinion clusters, opinion entropy provides a quantitative measurement for the uncertainty of opinions. Moreover, the model can be helpful for understanding the dynamics of opinion entropy, and controlling the public opinion.
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Li, Zhifang, Xiaojie Chen, Han-Xin Yang, and Attila Szolnoki. "Game-theoretical approach for opinion dynamics on social networks." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 7 (July 2022): 073117. http://dx.doi.org/10.1063/5.0084178.
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Opinion dynamics on social networks have received considerable attentions in recent years. Nevertheless, just a few works have theoretically analyzed the condition in which a certain opinion can spread in the whole structured population. In this article, we propose an evolutionary game approach for a binary opinion model to explore the conditions for an opinion’s spreading. Inspired by real-life observations, we assume that an agent’s choice to select an opinion is not random but is based on a score rooted from both public knowledge and the interactions with neighbors. By means of coalescing random walks, we obtain a condition in which opinion [Formula: see text] can be favored to spread on social networks in the weak selection limit. We find that the successfully spreading condition of opinion [Formula: see text] is closely related to the basic scores of binary opinions, the feedback scores on opinion interactions, and the structural parameters including the edge weights, the weighted degrees of vertices, and the average degree of the network. In particular, when individuals adjust their opinions based solely on the public information, the vitality of opinion [Formula: see text] depends exclusively on the difference of basic scores of [Formula: see text] and [Formula: see text]. When there are no negative (positive) feedback interactions between connected individuals, we find that the success of opinion [Formula: see text] depends on the ratio of the obtained positive (negative) feedback scores of competing opinions. To complete our study, we perform computer simulations on fully connected, small-world, and scale-free networks, respectively, which support and confirm our theoretical findings.
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Kim, Sei‐Hill. "Perception of public opinion: Bias in estimating group opinions." World Futures 57, no. 5 (September 2001): 435–51. http://dx.doi.org/10.1080/02604027.2001.9972843.
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SABĂU, Cristian-Gabriel, Virgil ION, and Mihai NEAG. "NATIONAL SECURITY AND PUBLIC OPINION." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 2 (June 24, 2016): 649–56. http://dx.doi.org/10.19062/2247-3173.2016.18.2.23.
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Zhang, Ling, Wen Chen, and WUN HONG SU. "Product-market competition, internal control quality and audit opinions. Evidence from Chinese listed firms." Revista de Contabilidad 23, no. 1 (January 1, 2020): 102–12. http://dx.doi.org/10.6018/rcsar.369111.
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Sobre la base de los datos de las empresas que cotizan en los mercados bursátiles A de Shangai y Shenzhen entre 2007 y 2015, este estudio examina las relaciones entre la calidad del control interno, la competencia en el mercado de productos y las opiniones de auditoría. Los resultados empíricos revelan que (1) cuanto mejor sea la calidad del control interno de las empresas que cotizan en bolsa, más probable es que un contador público certificado emita una opinión sin modificaciones; (2) la competencia en el mercado de productos se asocia positivamente con las opiniones sin modificaciones; (3) la competencia en el mercado de productos debilita la relación positiva entre la calidad del control interno de las empresas que cotizan en bolsa y la probabilidad de que un contador público certificado emita una opinión sin modificaciones; y (4) el impacto significativo de la competencia en el mercado de productos sobre la relación entre el control interno de la calidad y las opiniones sin modificaciones sólo existe en las industrias no monopolísticas. Based on data on listed firms in the Shanghai and Shenzhen A-share stock markets from 2007 to 2015, this study examines the relations among the quality of internal control, product-market competition and audit opinions. The empirical results reveal that (1) the better the quality of the internal control of listed firms is, the more likely a certified public accountant will be to issue a unmodified opinion; (2) the product-market competition is positively associated with unmodified opinions; (3) the product-market competition weakens the positive relation between the quality of the internal control of listed firms and the likelihood that a unmodified opinion will be issued by a certified public accountant; and (4) the significant impact of product-market competition on the relation between internal control quality and unmodified opinions exists only in non-monopoly industries.
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Wang, Xiwei, Dan Zhao, Mengqing Yang, Lian Duan, Meng Meng Xiang, and Qiuyan Guo. "Public opinion dissemination on mobile internet- a case of Ebola." Information Discovery and Delivery 45, no. 2 (May 15, 2017): 87–100. http://dx.doi.org/10.1108/idd-02-2017-0013.
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Purpose This study aims to improve disaster management. Social media, particularly microblog, has become a new platform for public opinion dissemination. However, few studies have been conducted to explore the structure of public opinions, the approaches for facilitating the spread of public opinions and the results of public opinion dissemination in the context of mobile internet for the purpose of improving disaster management. Design/methodology/approach This paper chooses Ebola as the research topic and extracts 14,735 Ebola-related data items from Sina Microblogs to examine the information nodes of public opinion and the characteristics of propagation paths on mobile internet. Particularly, nodes of public opinion between mobile terminals and non-mobile terminals are compared. Findings The results of this paper reveal the characteristics of public opinion propagation on mobile internet and verify the effectiveness of public opinion propagation on mobile internet. This study shows that public opinions propagate quickly, widely and efficiently and further generate great impacts on mobile internet. Research limitations/implications The methods used in this study can be useful for the government agencies and other relevant organizations to monitor public opinions, identify issues and problems proactively and develop strategies in a more efficient manner to improve disaster management. Practical implications The results of this paper are helpful for related departments to monitor public opinions and to further improve disaster management. Originality/value This paper explores the mechanism of public opinion dissemination on mobile internet and further investigates how to improve disaster management through a case study related to Ebola.
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Gan, Li Xin, and Wei Tu. "Research on the Monitoring of Internet with Public Opinions Based on Micro-Blog in Universities." Advanced Materials Research 1022 (August 2014): 345–48. http://dx.doi.org/10.4028/www.scientific.net/amr.1022.345.
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It is so important to monitor Internet public opinions based on micro-blog in universities that universities are able to grasp public opinion trends comprehensively and to make correct guidance of public opinion timely. In this paper, we propose a monitoring platform of micro-blog public opinions via combining artificial participation with computer technologies. The technologies of search engine and date mining are applied to this platform including topic detection and tracking, hotspot detection and emotional tendency analysis to mine and monitor micro-blog public opinion automatically. This platform is able to make full use of the advantages of the professional group of micro-blog public opinion monitoring to increase the effectiveness and efficiency of monitoring and guidance work of micro-blog Internet public opinions in universities.
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Intyaswati, Drina, and Supratman Supratman. "Pengaruh Usia dan Pendidikan Dalam Pembentukan Persepsi dan Opini di Media Change.org." Jurnal Penelitian Pers dan Komunikasi Pembangunan 23, no. 1 (June 17, 2019): 17–26. http://dx.doi.org/10.46426/jp2kp.v23i1.100.
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Along with the development of technology and mass media, Change.org appears in the form of websites that become to a medium for the forming of the public opinion, raising the opinions through campaigns that seeks the support of public opinion raised. This study to confirm how age and education level influencing the form of perceptions and public opinion through Change.org. This research using survey with explanitative approach, a research sampling are 200 people from Change.org users was taken with multistage cluster sampling technique with population at DKI Jakarta area. Data analysis using Structural Equation Modeling (SEM). The results show that age and education do not affect perception and also public opinion forming. This shows that with internet-based media the acceptance of information becomes more similar and individual differences, especially age and education, are not to be an obstacle in adjusting existing public opinion.Keywords: age, education, change.org, perception, public opinion.
ABSTRAKSeiring dengan perkembangan teknologi dan media massa, Change.org muncul dalam bentuk situs yang menjadi media pembentukan opini publik, penggalangan opini dilakukan melalui kampanye yang berusaha meminta dukungan terhadap opini publik yang dimunculkan. Penelitian ini bertujuan mencari apakah usia dan Pendidikan berpengaruh terhadap pembentukan persepsi dan opini publik melalui media Change.org. Penelitian ini merupakan penelitian survey yang bersifat eksplanatif, dengan sampel sejumlah 200 orang dari pengguna Change.org dengan pengambilan sample menggunakan teknik cluster sampling bertahap dari populasi di area DKI Jakarta. Analisis data menggunakan Structural Equation Modeling (SEM). Hasilnya menyatakan bahwa usia dan pendidikan tidak berpengaruh terhadap pembentukan persepsi dan juga opini publik. Hal ini menunjukkan dengan adanya media berbasis internet penerimaan informasi menjadi lebih seragam dan perbedaan individu khususnya usia dan pendidikan tidak menjadi kendala dalam penyesuaian opini publik yang ada.Kata kunci: change.org, opini publik, pendidikan, persepsi, usia
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Rajy Ramakrishnan Preemy, Lt. "Public Health Care in Kerala: An Analysis of Public Opinion." International Journal of Science and Research (IJSR) 12, no. 1 (January 5, 2023): 466–68. http://dx.doi.org/10.21275/sr23109144625.
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Anderson, Christopher J., and Jason D. Hecht. "The preference for Europe: Public opinion about European integration since 1952." European Union Politics 19, no. 4 (August 9, 2018): 617–38. http://dx.doi.org/10.1177/1465116518792306.
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To determine how public opinion matters for the politics of European integration, we need to know what Europeans say about Europe. Yet, despite a proliferation of analyses of public support for Europe, fundamental questions remain. First, does aggregate opinion reflect a single preference for Europe? Second, is the content of opinions similar across countries? Third, have opinions about Europe become more structured over time? Finally, what are the long-term dynamics in opinions about Europe? To answer these questions, we construct a new dataset of historical public opinion since 1952 in France, Germany, Italy, and the United Kingdom. Over the long run, aggregate opinion toward Europe reflects one dominant underlying dimension and its content is similar across countries. We examine the trends in support for Europe.
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Glynn, Carroll J., and Ronald E. Ostman. "Public Opinion about Public Opinion." Journalism Quarterly 65, no. 2 (June 1988): 299–306. http://dx.doi.org/10.1177/107769908806500206.
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Manfredi, Ren, Andrea Guazzini, Carla Anne Roos, Tom Postmes, and Namkje Koudenburg. "Private-Public Opinion Discrepancy." PLOS ONE 15, no. 11 (November 25, 2020): e0242148. http://dx.doi.org/10.1371/journal.pone.0242148.
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In many Western societies there are rising concerns about increasing polarization in public debate. However, statistics on private attitudes paint a different picture: the average attitudes in societies are more moderate and remain rather stable over time. The present paper presents an agent-based model of how such discrepancies between public opinion and private attitudes develop at the scale of micro-societies. Based on social psychological theorizing, the model distinguishes between two types of agents: a) those seeking to gain or maintain a good reputation and status, and b) those seeking to promote group harmony by reaching consensus. We characterized these different types of agents by different decision rules for either voicing their opinion or remaining silent, based on the behavior of their proximal network. Results of the model simulations show that even when the private attitudes of the agents are held constant, publicly expressed opinions can oscillate and (depending on the reputational concerns of individual actors) situations can occur in which minorities as well as majorities are silenced. We conclude that the macro-level consequences of micro-level decisions to either voice an opinion or remain silent provide a foundation for better understanding how public opinions are shaped. Moreover, we discuss the conditions under which public opinion could be considered a good representation of private attitudes in a society.
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Bastos, Marco Toledo. "Public Opinion Revisited: The propagation of opinions in digital networks." Journal of Arab & Muslim Media Research 4, no. 2 (March 20, 2012): 185–201. http://dx.doi.org/10.1386/jammr.4.2-3.185_1.
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Glynn, Carroll J. "Perceptions of others' opinions as a component of public opinion." Social Science Research 18, no. 1 (March 1989): 53–69. http://dx.doi.org/10.1016/0049-089x(89)90003-3.
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Mikalauskas, Arvydas. "Mero institucija Lietuvoje: gyventojų lūkesčių tyrimas." Culture & Society 7, no. 1 (2016): 135–58. http://dx.doi.org/10.7220/2335-8777.7.1.7.
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Zhou, Qingqing, and Ming Jing. "Multidimensional mining of public opinion in emergency events." Electronic Library 38, no. 3 (July 4, 2020): 545–60. http://dx.doi.org/10.1108/el-12-2019-0276.
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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.
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Fahrur Rozi, Imam, Dika Rizky Yunianto, Mustika Mentari, Awan Setiawan, Rudy Ariyanto, and Indrazno Siradjuddin. "Geo-Sentiment Analysis as a Location-Based Opinion Analysis System on Public Opinion Data about Governor Candidates." International Journal of Engineering & Technology 7, no. 4.44 (December 1, 2018): 110. http://dx.doi.org/10.14419/ijet.v7i4.44.26873.
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Ahead of governor elections, there were a lot of news and opinions related to the candidates through social media. The candidates could map the positive public opinions as their political supports that need to be strengthened, and the negative opinions that need for correction. To map those opinions, it is necessary for an opinion classification system from textual opinions. It became the focus of this research. The system was designed to work on textual opinions in Bahasa since the proposed case study was the opinion of East Java governor candidates mainly written in Bahasa. Classification method that was used to classify the opinions in this system, is Naive Bayes Classifier (NBC). The opinions would be classified into 2 classes, negative and positive opinion. The classified opinions then grouped by region. It would make users easier to map the opinion in each region. The visualization became more user-friendly since the count of classified opinion displayed as a pie chart on a geographical mode or a map. After testing on the classification results, the accuracy value that we got was 78%. It indicated that NBC could perform very well as a simple text classification method with a good result.
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Oppermann, Kai, and Alexander Höse. "Public Opinion and the Development of the European Security and Defence Policy." European Foreign Affairs Review 12, Issue 2 (June 1, 2007): 149–67. http://dx.doi.org/10.54648/eerr2007015.
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This article argues that public opinion will become an increasingly significant constraint on European-level decision-making with regard to implementing and further developing the ESDP. The thesis is based on a theoretical concept that identifies two necessary preconditions for public opinion to impact upon governmental foreign policies, namely the public salience of foreign policy issues and the public’s opportunity structures to influence foreign policy decision-making. Any initiative to put into practice or extend the ESDP will have to be pursued in a political environment in which both preconditions will generally be met. First, the ESDP’s actions and aspirations touch upon issues that are of great salience to European publics. Second, European publics are provided with ample channels of influence to constrain European integration in this field via their respective national governments. Thus, the prospects of further developing the ESDP will depend increasingly on supportive public opinions in EU Member States.
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Maassen, G. H. "AN APPLICATION OF STRUCTURAL EQUATION MODELING IN PUBLIC OPINION RESEARCH: CONCEPTUALIZING PUBLIC AND OPINIONS." International Journal of Public Opinion Research 9, no. 2 (June 1, 1997): 146–69. http://dx.doi.org/10.1093/ijpor/9.2.146.
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DRUCKMAN, JAMES N., JORDAN FEIN, and THOMAS J. LEEPER. "A Source of Bias in Public Opinion Stability." American Political Science Review 106, no. 2 (May 2012): 430–54. http://dx.doi.org/10.1017/s0003055412000123.
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A long acknowledged but seldom addressed problem with political communication experiments concerns the use of captive participants. Study participants rarely have the opportunity to choose information themselves, instead receiving whatever information the experimenter provides. We relax this assumption in the context of an over-time framing experiment focused on opinions about health care policy. Our results dramatically deviate from extant understandings of over-time communication effects. Allowing individuals to choose information themselves—a common situation on many political issues—leads to the preeminence of early frames and the rejection of later frames. Instead of opinion decay, we find dogmatic adherence to opinions formed in response to the first frame to which participants were exposed (i.e., staunch opinion stability). The effects match those that occur when early frames are repeated multiple times. The results suggest that opinion stability may often reflect biased information seeking. Moreover, the findings have implications for a range of topics including the micro–macro disconnect in studies of public opinion, political polarization, normative evaluations of public opinion, the role of inequality considerations in the debate about health care, and, perhaps most importantly, the design of experimental studies of public opinion.
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Sauter, Theresa, and Axel Bruns. "Tweeting the TV Event, Creating ‘Public Sphericules’: AD HOC Engagement with SBS's Go Back to Where You Came from — Season 2." Media International Australia 152, no. 1 (August 2014): 5–15. http://dx.doi.org/10.1177/1329878x1415200103.
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This article uses the example of the mediatisation of Season 2 of the Australian documentary-cum-reality TV series Go Back to Where You Came From, and the associated #GoBackSBS Twitter feed, to investigate how public opinions are shaped, reshaped and expressed in new hybrid media ecologies. We explore how social media tools like Twitter can support the efforts of a TV production; provide spaces through which the public can engage ad hoc with a public event, be informed, shape their opinions and share them with others; and thus open up new possibilities for public discourse to occur. We suggest that new online public sphericules are emerging that provide spaces within which publics can engage with the cultural social and political realities with which they are confronted. In this way, we highlight the importance of mundane communication to the shaping and constant reshaping of public opinion.
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Zhang, Yi, Chen Wu, and Fei Liu. "Exploration of Attitude Change Theory in Online Public Opinion Guidance." E3S Web of Conferences 253 (2021): 03018. http://dx.doi.org/10.1051/e3sconf/202125303018.
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Online public opinion is the representation of social public opinion on the internet space and a direct reflection of social public opinion. The essence of network public opinion guidance is to influence and change the attitude of Internet users through a series of strategies, so as to effectively control the influence trend and scope of public opinion. How netizen’s opinions change and how to facilitate those changes are at the core of online public opinion control and guidance.
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Ingham, Sean, and Ines Levin. "Can Deliberative Minipublics Influence Public Opinion? Theory and Experimental Evidence." Political Research Quarterly 71, no. 3 (February 19, 2018): 654–67. http://dx.doi.org/10.1177/1065912918755508.
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Deliberative minipublics are small groups of citizens who deliberate together about a policy issue and convey their conclusions to decision makers. Theorists have argued that deliberative minipublics can give observers evidence about counterfactual, “enlightened” public opinion—what the people would think about an issue if they had the opportunity to deliberate with their fellow citizens. If the conclusions of a deliberative minipublic are received in this spirit and members of the public revise their opinions upon learning them, then deliberative minipublics could be a means of bringing actual public opinion into closer conformity with counterfactual, enlightened public opinion. We formalize a model of this theory and report the results of a survey experiment designed to test its predictions. The experiment produced evidence that learning the conclusions of a deliberative minipublic influenced respondents’ policy opinions, bringing them into closer conformity with the opinions of the participants in the deliberative minipublic.
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Liu, Anning. "The Crowd: Study on the Guidance Strategies of University Network Public Opinions." BCP Social Sciences & Humanities 17 (May 10, 2022): 377–84. http://dx.doi.org/10.54691/bcpssh.v17i.679.
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Group psychology is a crucial factor influencing the occurrence and development of network public opinions in universities. Based on the "Theory of Crowds", this study selects the "Tianjin University's Lockdown Management" as a typical case in the phenomenon of "Management Through Zhihu". In this way, the research starts from four stages -- focus, formation, climax and dissolution of public opinions, returns to look at the psychological motivation of the subjects, analyzes the role of group psychological factors such as blindly following the crowd, the law not punishing numerous offenders, leader guidance and emotional contagion in promoting the formation of university network public opinion crisis behind the phenomenon of "Management Through Zhihu". Based on that, this study proposes that to strengthen the guidance of university network public opinions in the new era, four specific aspects need to be further highlighted: mastering the characteristics of group psychological communication is the basis; giving full play to the role of public opinion leaders is the key; innovative network public opinion guidance mode is the guarantee; and emphasizing the education of network public opinion subjects is the fundamental solution.
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Van Leuven, James K., and Michael D. Slater. "How Publics, Public Relations, and the Media Shape the Public Opinion Process." Public Relations Research Annual 3, no. 1-4 (January 1991): 165–78. http://dx.doi.org/10.1207/s1532754xjprr0301-4_8.
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Yin, Fulian, Jinxia Wang, Xinyi Jiang, Yanjing Huang, Qianyi Yang, and Jianhong Wu. "Modeling and analyzing an opinion network dynamics considering the environmental factor." Mathematical Biosciences and Engineering 20, no. 9 (2023): 16866–85. http://dx.doi.org/10.3934/mbe.2023752.
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<abstract> <p>With the development of Internet technology, social media has gradually become an important platform where users can express opinions about hot events. Research on the mechanism of public opinion evolution is beneficial to guide the trend of opinions, making users' opinions change in a positive direction or reach a consensus among controversial crowds. To design effective strategies for public opinion management, we propose a dynamic opinion network susceptible-forwarding-immune model considering environmental factors (NET-OE-SFI), which divides the forwarding nodes into two types: support and opposition based on the real data of users. The NET-OE-SFI model introduces environmental factors from infectious diseases into the study of network information transmission, which aims to explore the evolution law of users' opinions affected by the environment. We attempt to combine the complex media environmental factors in social networks with users' opinion information to study the influence of environmental factors on the evolution of public opinion. Data fitting of real information transmission data fully demonstrates the validity of this model. We have also made a variety of sensitivity analysis experiments to study the influence of model parameters, contributing to the design of reasonable and effective strategies for public opinion guidance.</p> </abstract>
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N, Vishal, and Dr Sreeya B. "Public Opinion on Change in Reservation Policy." International Journal of Psychosocial Rehabilitation 24, no. 04 (February 28, 2020): 2878–84. http://dx.doi.org/10.37200/ijpr/v24i4/pr201398.
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Chauca Amado, Lorena. "Construcción de redes de opinión pública en la web 2.0." Correspondencias & Análisis, no. 2 (November 1, 2013): 13–40. http://dx.doi.org/10.24265/cian.2012.n2.01.
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Tsiklashvili, Natela, Tamila Turmanidze, and Tamar Beridze. "Women’s role in organizations and public opinion." Problems and Perspectives in Management 17, no. 2 (July 1, 2019): 510–17. http://dx.doi.org/10.21511/ppm.17(2).2019.39.
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Georgia still faces urgent problems of women employment, level of raising women’s qualification and restricted career opportunities. It impacts economic indicators as well. Proceeding from the topicality of the problem, the goal of the research is to study the attitude towards the role of women in present-day organizations, applying complex methods of information gathering and analysis, quantitative methods of research.The conducted research and analysis of outcomes led to the conclusion that, despite progressive changes in the state and society attitude towards gender equality, still there are many controversial issues. It is a typical situation for many countries. Although women represent half of the able-bodied population worldwide, their portion in GDP is only 37%. It indicates that full utilization of women’s potential is not or cannot be accomplished. It is significant to identify the hindering reasons.The research results show that the hindering factors of women’s self-realization and career advancement in Georgia are: 61% – family, 27% – education/less qualification, 25% – stereotypes, 34% – inflexible work schedule and inconvenient conditions. The authors think that, in order for the state to make maximum utilization of women’s resources as a valuable economic and political asset, it is necessary that government work out efficient ways to create convenient conditions for women. At the same time, all companies must have labor management strategy that can bring success if all aspects of women’s work in each component will be actively applied.
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Xiong, Jie, Gouri A. Domnic Jacob, and Jian Gong Xiong. "Risk Management of Negative Online Public Opinion in a Tertiary Hospital Based on the Kaiser Model." American Journal of Health Behavior 47, no. 1 (February 28, 2023): 165–72. http://dx.doi.org/10.5993/ajhb.47.1.17.
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Objectives: In this study, we analyzed negative online public opinion in tertiary hospitals and evaluated corresponding risk by applying the Kaiser Model. Methods: Through data and expert group discussion, combined with the hospital's actual negative online public opinion management, we determined the opinions posing higher risk. The hospital's risk questionnaire for negative opinion was designed based on the Kaiser Model. The whole hospital staff was then trained and investigated. An Excel worksheet was used for statistical analysis and risk calculation.Results: According to the ranking of risk value, the top 5 negative online public opinions were drug supply and demand, in-hospital parking, handling of public health emergencies, the service attitude of hospital guidance staff, and interpretation of medical insurance policies. Conclusion: The hospital needs to revise and improve the emergency response plan for negative online public opinion based on the analysis results and reports of opinion risks. This is helpful for strengthening hospital-level emergency training, improving the hospital's ability to manage negative opinion risks, and promoting the hospital to become passive about negative online public opinion.
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Wu, Jian, Yan Chen, Tiantian Gai, Yujia Liu, Yan Li, and Mingshuo Cao. "A New Leader–Follower Public-Opinion Evolution Model for Maritime Transport Incidents: A Case from Suez Canal Blockage." Journal of Marine Science and Engineering 10, no. 12 (December 15, 2022): 2006. http://dx.doi.org/10.3390/jmse10122006.
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The Suez Canal blockage (SCB) event, one of the world’s major transportation arteries, has attracted significant public attention. This article proposes a new leader–follower public-opinion evolution model on the SCB under online social media, which considers two aspects: (1) obtaining public opinion and attitudes about the SCB; and (2) grasping the evolutionary trend in public opinion on the SCB. To identify the sentiment tendency contained in the collected data, a hybrid sentiment analysis algorithm is presented to analyze Chinese and English data, which captures and analyzes public attitudes on the SCB. In addition, then, the opinion leader-identification mechanism algorithm is proposed, which divides leaders into three categories: positive, neutral and negative leaders. Moreover, the Hegselmann–Krause-based opinion leaders–followers opinion evolution model for the SCB event is established, which not only reflects the interaction of opinions among the online public, but also updates the opinions of the online public until it reaches a stable state. Finally, results and analysis for the SCB are discussed.
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Aziza, Zahra Nur, and Daniel Yeri Kristiyanto. "Prediction of The Level of Public Trust in Government Policies in the 1st Quarter of The Covid 19 Pandemic using Sentiment Analysis." E3S Web of Conferences 317 (2021): 05013. http://dx.doi.org/10.1051/e3sconf/202131705013.
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The covid-19 pandemic has made changes in society, including Government policy. The policy changes led to mixing responses from the public, namely netizens. Netizen shares their opinion in social media, including Twitter. Their opinion can represent the public’s trust in the Government. Sentiment analysis analyses others’ opinions and categorises them into positive opinions, negative opinions, or neutral opinions. Sentiment analysis can analyze large numbers of opinions so that public opinion can be analyzed quickly. This paper explains how to analyze public trust using sentiment analysis and to use Naïve Bayes classification method to analyze sentiment. The data research was taken from Twitter in the first quarter of the Covid-19 pandemic, with around 3000 tweets. The tweets were related to Covid-19 and the Government from several countries such as the United States, Australia, Ireland, Switzerland, Italy, Philippines, Sri Lanka, Canada, Netherlands, United Kingdom, Germany, and Lebanon. This study aims to determine the level of public trust in the Government in the first quarter of the Covid-19 pandemic. The research result is expected to be used as a reference for the public policy stakeholders to determine future policies.
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Huang, Zihuang, Qing Xu, and Xinyu Wang. "Does Investors’ Online Public Opinion Divergence Increase the Trading Volume? Evidence from the CSI 300 Index Constituents." Journal of Risk and Financial Management 17, no. 8 (July 24, 2024): 316. http://dx.doi.org/10.3390/jrfm17080316.
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We collected online public opinions on the CSI 300 index constituents and investigated the different impacts of online public opinion divergence on trading volume. Here, we find that online public opinions are helpful in improving the trading volume, but the online public opinion divergence of investors reduces the expected trading volume. In particular, non-financial and mid-cap stocks with high levels of discussion are more significantly influenced by online public opinion divergence. Through the classification of investors’ influence levels, we find that the divergence among high-level investors increases the trading volume, while the divergence among low-level investors exacerbates the decrease in trading volume. A reduction in divergence for both levels will have a greater impact. We believe that attention should be paid to regulating and guiding the online public opinions of “newcomers”. This will not only improve the quality of Guba but also contribute to the steady development of the Chinese stock market.
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Adi Yuniarta, Gede, and I. Gusti Ayu Purnamawati. "Key elements of local government transparency in new public governance." Problems and Perspectives in Management 18, no. 4 (November 18, 2020): 96–106. http://dx.doi.org/10.21511/ppm.18(4).2020.09.
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Transparency is a challenge for public administration reforms for now and beyond towards modern and better governance. The economic crisis that occurred has led to a large erosion of public confidence in the effectiveness of government financial management. This study aims to analyze the key elements of local government transparency in new public governance. The research data was obtained through financial reports on local government websites. The sample selection technique used purposive judgment sampling and yielded a total of 262 local governments in Indonesia. The analytical method used is logistic regression analysis. The results showed that key elements, reflected by the local government size and local financial independence ratio, had a significant influence on the implementation of internet financial reporting, while audit opinions do not have a significant effect. This is due to changes in public perception of the quality of audit opinions provided by the Audit Board. This study emphasizes that local governments that receive a fair or unfair audit opinion cannot prove with certainty that the local government has performed good or poor financial management. Audit opinions obtained by local governments do not always facilitate the publication of financial statements on their official websites.
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Ye, Yuanjian, Renjie Zhang, Yiqing Zhao, Yuanyuan Yu, Wenxin Du, and Tinggui Chen. "A Novel Public Opinion Polarization Model Based on BA Network." Systems 10, no. 2 (April 9, 2022): 46. http://dx.doi.org/10.3390/systems10020046.
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At present, the polarization of online public opinion is becoming more frequent, and individuals actively participate in attitude interactions more and more frequently. Thus, online views have become the dominant force in current public opinion. However, the rapid fermentation of polarized public opinion makes it very easy for actual topic views to go to extremes. Significantly, negative information seriously affects the healthy development of the social opinion ecology. Therefore, it is beneficial to maintain national credibility, social peace, and stability by exploring the communication structure of online public opinions, analyzing the logical model of extreme public attitudes, and guiding the communication of public opinions in a timely and reasonable manner. Starting from the J–A model and BA network, this paper explores the specific attributes of individuals and opinion network nodes. By incorporating parameters such as individual conformity and the strength of individual online relationships, we established a model of online group attitude polarization, then conducted simulation experiments on the phenomenon of online opinion polarization. Through simulations, we found that individual conformity and the difference in environmental attitude greatly influence the direction of opinion polarization events. In addition, crowd mentality makes individuals spontaneously choose the side of a particular, extreme view, which makes it easier for polarization to form and reach its peak.
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Boulianne, Shelley. "Mini-publics and Public Opinion: Two Survey-Based Experiments." Political Studies 66, no. 1 (September 27, 2017): 119–36. http://dx.doi.org/10.1177/0032321717723507.
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In intense forms of public consultations, select groups of citizens, called mini-publics, are given a large amount of information and then asked to deliberate on policy directions and make recommendations. Government officials may refuse to act upon these recommendations, unless they are convinced that the recommendations have wider support in the populace. This article presents the results of two survey-based experiments that assess the impact of mini-publics on the opinions expressed by random digit dialing samples of the general public. The survey-based experiments were conducted in 2013 (n = 400) and in 2014 (n = 400). Being informed about the mini-publics affected support for some policies, but not others. In both studies, respondents who were informed about the mini-publics reported higher levels of political efficacy compared to the condition where respondents were not informed about the mini-public. Hearing about these mini-publics helps to generate a sense of legitimacy in the political system.
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Ristino, Robert J. "Communicating with External Publics: Managing Public Opinion and Behavior." Health Marketing Quarterly 24, no. 3-4 (September 29, 2007): 55–80. http://dx.doi.org/10.1080/07359680802119025.
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RAVEN, JUDITH, PETER ACHTERBERG, ROMKE VAN DER VEEN, and MARA YERKES. "An Institutional Embeddedness of Welfare Opinions? The Link between Public Opinion and Social Policy in the Netherlands (1970–2004)." Journal of Social Policy 40, no. 2 (July 21, 2010): 369–86. http://dx.doi.org/10.1017/s0047279410000577.
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AbstractA major shortcoming in the existing literature on welfare state legitimacy is that it cannot explain when social policy designs follow public preferences and when public opinion follows existing policy designs and why. Scholars examining the influence of public opinion on welfare policies, as well as scholars investigating institutional influences on individual welfare attitudes, find empirical evidence to support both relationships. While a relationship in both directions is plausible, scholars have yet to thoroughly investigate the mutual relationship between these two. Consequently, we still do not know under which circumstances welfare institutions invoke public approval of welfare policies and under which circumstances public opinion drives welfare policy. Taking a quantitative approach to public opinion and welfare state policies in the Netherlands, this paper addresses this issue in an attempt to increase our understanding of welfare state legitimacy. The results show that individual opinions influence relatively new policies, policies which are not yet fully established and where policy designs are still evolving and developing. Social policy, on the other hand, is found to influence individual opinions on established and highly institutionalised policies, but does not influence individual opinions in relatively new areas of social policy.
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Lanchier, N., and N. Taylor. "Galam's bottom-up hierarchical system and public debate model revisited." Advances in Applied Probability 47, no. 3 (September 2015): 668–92. http://dx.doi.org/10.1239/aap/1444308877.
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This paper is concerned with the bottom-up hierarchical system and public debate model proposed by Galam (2008), as well as a spatial version of the public debate model. In all three models, there is a population of individuals who are characterized by one of two competing opinions, say opinion −1 and opinion +1. This population is further divided into groups of common size s. In the bottom-up hierarchical system, each group elects a representative candidate, whereas in the other two models, all the members of each group discuss at random times until they reach a consensus. At each election/discussion, the winning opinion is chosen according to Galam's majority rule: the opinion with the majority of representatives wins when there is a strict majority, while one opinion, say opinion −1, is chosen by default in the case of a tie. For the public debate models we also consider the following natural updating rule that we call proportional rule: the winning opinion is chosen at random with a probability equal to the fraction of its supporters in the group. The three models differ in term of their population structure: in the bottom-up hierarchical system, individuals are located on a finite regular tree, in the nonspatial public debate model, they are located on a complete graph, and in the spatial public debate model, they are located on the d-dimensional regular lattice. For the bottom-up hierarchical system and nonspatial public debate model, Galam studied the probability that a given opinion wins under the majority rule and, assuming that individuals' opinions are initially independent, making the initial number of supporters of a given opinion a binomial random variable. The first objective of this paper is to revisit Galam's result, assuming that the initial number of individuals in favor of a given opinion is a fixed deterministic number. Our analysis reveals phase transitions that are sharper under our assumption than under Galam's assumption, particularly with small population size. The second objective is to determine whether both opinions can coexist at equilibrium for the spatial public debate model under the proportional rule, which depends on the spatial dimension.
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Lanchier, N., and N. Taylor. "Galam's bottom-up hierarchical system and public debate model revisited." Advances in Applied Probability 47, no. 03 (September 2015): 668–92. http://dx.doi.org/10.1017/s0001867800048783.
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This paper is concerned with the bottom-up hierarchical system and public debate model proposed by Galam (2008), as well as a spatial version of the public debate model. In all three models, there is a population of individuals who are characterized by one of two competing opinions, say opinion −1 and opinion +1. This population is further divided into groups of common size s. In the bottom-up hierarchical system, each group elects a representative candidate, whereas in the other two models, all the members of each group discuss at random times until they reach a consensus. At each election/discussion, the winning opinion is chosen according to Galam's majority rule: the opinion with the majority of representatives wins when there is a strict majority, while one opinion, say opinion −1, is chosen by default in the case of a tie. For the public debate models we also consider the following natural updating rule that we call proportional rule: the winning opinion is chosen at random with a probability equal to the fraction of its supporters in the group. The three models differ in term of their population structure: in the bottom-up hierarchical system, individuals are located on a finite regular tree, in the nonspatial public debate model, they are located on a complete graph, and in the spatial public debate model, they are located on the d-dimensional regular lattice. For the bottom-up hierarchical system and nonspatial public debate model, Galam studied the probability that a given opinion wins under the majority rule and, assuming that individuals' opinions are initially independent, making the initial number of supporters of a given opinion a binomial random variable. The first objective of this paper is to revisit Galam's result, assuming that the initial number of individuals in favor of a given opinion is a fixed deterministic number. Our analysis reveals phase transitions that are sharper under our assumption than under Galam's assumption, particularly with small population size. The second objective is to determine whether both opinions can coexist at equilibrium for the spatial public debate model under the proportional rule, which depends on the spatial dimension.
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Retnoningrum, Dwi, Dea Annisayanti Putri, Indra Budi, Aris Budi Santoso, and Prabu Kresna Putra. "Stance Analysis of Policies Related to Emission Test Obligations using Twitter Social Media Data." Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 12, no. 3 (January 9, 2024): 472–81. http://dx.doi.org/10.23887/janapati.v12i3.69004.
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Social media is currently widely used to disseminate various kinds of information, whether expressing feelings, or opinions. Public opinion is no exception regarding government policies and the implementation of emission tests, which describe the conditions that exist in society. Information on public opinion data obtained through social media in real time can assist the government in evaluating policies and improving the quality of currently implemented policies, particularly evaluating the implementation of emission tests on motorized vehicles. In this research, the application of stance analysis is used to evaluate emission test policies based on public opinion.In addition, this research aims to combine several machine learning methods and feature extraction methods to find the best combination based on accuracy, training time, and prediction time based on emission test policies. The best model based on the level of accuracy is a combination of Decision Tree and BERT, which reaches a value of 66%. Meanwhile, based on training time, the model that has the advantage is the Ridge Classifier with fasttext text representation. Based on prediction time, there are 3 combination models, namely Decision Tree with word2vec, SVM with Word2Vec, and Logistic Regression with fasttext text representation.
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Xu, Shengyu, Jiayu Liu, Kan Chen, and Yuling Yang. "Research on the Communication Path of Public Opinion in University Ideological and Political Network for Big Data Analysis." Journal of Sensors 2022 (July 7, 2022): 1–9. http://dx.doi.org/10.1155/2022/8354909.
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In recent years, with the rapid development of information technology, the Internet has gradually become an interactive platform for people to exchange ideas, collide emotions, spread information, and release emotions. The openness, anonymity, and inclusiveness of the Internet have reduced the obstacles of information dissemination and triggered the conflict of public opinion on the Internet. In addition, students actively express their opinions, attitudes, and feelings on important topics in life and study on the Internet, forming a certain scale of online opinions reflecting students’ unique political attitudes, moral concepts, and values. Because college students are immature physically and mentally and the network environment is full of phenomena, it is easy to arouse their emotional resonance. Therefore, the free and diverse network environment presents new challenges and higher requirements of the times for the stable operation of college network public opinion guidance. Therefore, how to form systematic education in universities combined with ideological and political network public opinions under big data has become an important problem to be solved. Based on this paper presents the communication pattern of network public opinion and model it, namely, the random network public opinion transmission model. By comparing the scope and influence of the two transmission paths of network public opinion, the paper draws the conclusion and strengthens the teaching practice of ideological and political courses. Finally, it is pointed out that the research of the ideological and political network public opinion communication path is a complex digital communication system project, which requires the government, the media, and the schools together to give suggestions in the guidance of the network public opinion.
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Rafi, Mochamad, Nurhayani Saragih, and Sri Wahyuning Astuti. "OPINI PUBLIK MENGENAI ISU “SRI MULYANI MAU ORANG KAYA BAYAR PAJAK LEBIH BANYAK” DALAM MEDIA INSTAGRAM @narasinewsroom." Indonesian Journal of Digital Public Relations (IJDPR) 1, no. 2 (January 27, 2023): 89. http://dx.doi.org/10.25124/ijdpr.v1i2.5517.
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The issue that has been developing in recent times is the issue of the policy of the minister of finance who wants to issue a policy that the rich must pay higher than before, this policy is taken in a step to deal with Indonesia's economic recovery which was previously sluggish due to Covid-19 pandemic. The purpose of this study is to analyze Positive public opinion, negative public opinion, and neutral on the post 'Sri Mulyani Mau Orang Kaya Bayar Pajak Lebih Banyak' in Instagram Media @narasinewsroom Period July 2, 2021 In this study, researchers used the concept of public opinion which has been categorized into opinion positive, negative, and neutral.In this study, the study population took all comments on the post "Sri Mulyani Wants Rich People to Pay More Taxes" on @narasinewsroom Instagram account as many as 526 and the sample in this study was 228 comments. The data collection technique uses random sampling techniques. in testing validity and reliability using reliability between coders using hostly formulas. The results showed that there were 82 positive opinions (36% of comments), negative opinions categories got 86 frequency results (38% of comments) and neutral opinions that got frequency results of 60 (26% comments).
Keywords: public relations, new media, public opinion
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Uthirapathy, Samson Ebenezar, and Domnic Sandanam. "Real-Time Opinion Prediction Method for Emergency Public Events in Social Media Networks Using Opinion Hit Matrix." Revue d'Intelligence Artificielle 34, no. 4 (September 30, 2020): 507–14. http://dx.doi.org/10.18280/ria.340417.
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Modern society has a great influence on social networks which have been used to share user’s opinions and ideologies. Opinions discussed in social media about any emergency public event happenings. However, analyzing the opinion proliferation, producing interesting facts, which helps to enhance public security in emergencies. A lot of approaches are available to analyze the problem but suffer to achieve higher performance. This paper presents a real-time opinion prediction method. It analyzes the influence or hit rate of opinion in any case. This method first generates the network with several nodes where each user has been considered as a node. With the trace of social chat, the method classifies and groups the users under different categories of interest. The interest detection is performed according to the Class Level Post Measure (CLPM) which represents the interest of the user under a specific category. Using the actors identified, the method generates an Opinion Hit Matrix (OHM) based on the events and opinions posted. Using the matrix, the method computes the opinion support measure (OSM) to select a subset of opinions to generate recommendations. The proposed algorithm improves the performance of the recommendation generation.
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Ma, Bin. "A New Kind of Parallel K_NN Network Public Opinion Classification Algorithm Based on Hadoop Platform." Applied Mechanics and Materials 644-650 (September 2014): 2018–21. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2018.
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According to the network public opinion’s characteristics of distributed, massive and heterogeneous, a new kind of network public opinion classification method based on K_ nearest neighbor (K_NN) classification algorithm in Hadoop plateform is studied. The classification ability and execution efficiency of proposed scheme is verified and applied to the network public opinion documents classification test. The results show that the parallel K_NN algorithm can achieve rapid and accurate classification of network public opinion.
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Wahrman, Dror. "“Middle-Class” Domesticity Goes Public: Gender, Class, and Politics from Queen Caroline to Queen Victoria." Journal of British Studies 32, no. 4 (October 1993): 396–432. http://dx.doi.org/10.1086/386041.
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In early 1831, the novelist Edward Bulwer-Lytton contributed a comparative essay to the Edinburgh Review on “the spirit of society” in England and France. A key issue for discussion, of course, was that of fashion. “Our fashion,” stated Bulwer-Lytton, “may indeed be considered the aggregate of the opinions of our women.” The fundamental dichotomy which ran through these pages was that between public and private: “the proper sphere of woman,” Bulwer-Lytton continued, “is private life, and the proper limit to her virtues, the private affections.” And in antithesis to the aggregate opinions of “the domestic class of women”—in his view, the only virtuous kind of women—which constituted fashion, stood “public opinion”; that exclusive masculine realm, that should remain free of “feminine influence.”Some two years later, in his two-volume England and the English, Bulwer-Lytton restated the antithesis between fashion and public opinion, both repeating his earlier formulation and at the same time significantly modifying it. By 1833, his definitions of fashion and opinion ran as follows: “The middle classes interest themselves in grave matters: the aggregate of their sentiments is called OPINION. The great interest themselves in frivolities, and the aggregate of their sentiments is termed FASHION.” Here, Bulwer-Lytton no longer designated fashion as the aggregate of the opinions of women but, instead, as the aggregate of the opinions of the upper classes; and public opinion was no longer the domain of men but, instead, the aggregate of the opinions of the “middle class.”