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Journal articles on the topic 'Public opinion'

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Published: 4 June 2021
Last updated: 31 July 2024

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1

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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2

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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3

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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4

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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5

Seoane, Julio. "Opinion pública : Public opinion." EUNOMÍA. Revista en Cultura de la Legalidad, no. 17 (September 27, 2019): 235. http://dx.doi.org/10.20318/eunomia.2019.5028.

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Resumen: Se recorre la historia de la noción de opinión pública en cinco etapas que van desde su presentación en el XVIII con la Ilustración a los nuevos modos de los social media, pasando por la institución de la opinión pública en la prensa liberal del XIX, las cuestiones de la manipulación de finales del XIX y principios del XX y su condición de lugar de la democracia en la segunda mitad del XX. Palabras clave: público, prensa, mass media, sondeos. Abstract: This work try to show the history of public opinion in five stages ranging from its presentation in the XVIII with the Enlightenment to its new configuration with our social media, through the institution of public opinion in the liberal press of the nineteenth century, the issues of manipulation of the late nineteenth and early twentieth centuries and its status as a place of democracy in the second half of the twentieth. Keywords: public, press, mass media, polls.
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6

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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7

Smith, Tom W., Carroll J. Glynn, Susan Herbst, Garrett J. O'Keefe, and Robert Y. Shapiro. "Public Opinion." Contemporary Sociology 29, no. 5 (September 2000): 735. http://dx.doi.org/10.2307/2655255.

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8

Narain, Kunwar, and John Vater. "Public Opinion." Ploughshares 45, no. 2 (2019): 116–20. http://dx.doi.org/10.1353/plo.2019.0061.

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9

Holden, A. "Public opinion." British Dental Journal 214, no. 8 (April 2013): 383–85. http://dx.doi.org/10.1038/sj.bdj.2013.377.

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10

Tait, Joyce. "Public opinion." Bio/Technology 12, no. 11 (November 1994): 1048. http://dx.doi.org/10.1038/nbt1194-1048a.

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11

Schenelaars, Piet. "Public opinion." Bio/Technology 12, no. 11 (November 1994): 1048–49. http://dx.doi.org/10.1038/nbt1194-1048b.

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12

Scheufele, D. A. "Perceptions of 'Public Opinion' and 'Public' Opinion Expression." International Journal of Public Opinion Research 13, no. 1 (March 1, 2001): 25–44. http://dx.doi.org/10.1093/ijpor/13.1.25.

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13

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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14

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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15

Jerre, Kristina. "Public Opinion on Appropriate Sentences – which Public, which Opinion?" European Journal on Criminal Policy and Research 19, no. 1 (June 5, 2012): 31–45. http://dx.doi.org/10.1007/s10610-012-9176-0.

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16

Price, V., and P. Neijens. "OPINION QUALITY IN PUBLIC OPINION RESEARCH." International Journal of Public Opinion Research 9, no. 4 (December 1, 1997): 336–60. http://dx.doi.org/10.1093/ijpor/9.4.336.

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17

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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18

Binstock, R. H. "Public Opinion Versus Public Rhetoric." Gerontologist 32, no. 4 (August 1, 1992): 563. http://dx.doi.org/10.1093/geront/32.4.563.

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19

Rose, Richard. "Public Opinion Surveys." Problems of Post-Communism 54, no. 1 (February 2007): 47. http://dx.doi.org/10.2753/ppc1075-8216540105.

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20

Julliard, Jacques. "Foule, public, opinion." Mil neuf cent 28, no. 1 (2010): 7. http://dx.doi.org/10.3917/mnc.028.0007.

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21

Moughrabi, Fouad. "American Public Opinion." Journal of Palestine Studies 18, no. 2 (January 1, 1989): 127–29. http://dx.doi.org/10.2307/2537639.

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22

Peretz, Don. "Israeli Public Opinion." Journal of Palestine Studies 26, no. 3 (1997): 98–99. http://dx.doi.org/10.2307/2538164.

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23

Egan, Patrick J., David M. Konisky, and Megan Mullin. "Ascendant Public Opinion." Public Opinion Quarterly 86, no. 1 (February 18, 2022): 134–48. http://dx.doi.org/10.1093/poq/nfab071.

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Abstract Here we document an under-studied but important phenomenon that we call ascendant public opinion, which emerges when a new concern is framed as an instance of a broader issue and gains ascendancy over that issue in the public’s mind. We focus on the ever-increasing role climate change has come to play over the past three decades in shaping how Americans think about broader environmental concerns. We show that news coverage of the environment has focused increasingly on climate change over time, while climate change concurrently has come to dominate all other environmental problems in the strength of its association with general environmental concern in opinion surveys. Panel studies provide evidence that the growing correlation between attitudes on climate change and the environment is predominantly due to the impact of the former on the latter. These developments have been consequential: we estimate that Americans’ level of concern about the environment is now both more elevated and more polarized along party lines than if climate change did not occupy its dominant place on the environmental agenda. Climate change is likely just one example of how ascendant public opinion can have important consequences for politics and policy.
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24

O’Doherty, Kieran C. "Deliberative public opinion." History of the Human Sciences 30, no. 4 (September 26, 2017): 124–45. http://dx.doi.org/10.1177/0952695117722718.

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Generally, public opinion is measured via polls or survey instruments, with a majority of responses in a particular direction taken to indicate the presence of a given ‘public opinion’. However, discursive psychological and related scholarship has shown that the ontological status of both individual opinion and public opinion is highly suspect. In the first part of this article I draw on this body of work to demonstrate that there is currently no meaningful theoretical foundation for the construct of public opinion as it is typically measured in surveys, polls, or focus groups. I then argue that there is a particular sense in which the construct of public opinion does make sense. In deliberative democratic forums participants engage in dialogue with the aim of coming to collective positions on particular issues. Here I draw on examples of deliberative democratic forums conducted on the social and ethical implications of science and technology. Conversation between participants in deliberative democratic forums is ideally characterized by individuals becoming informed about the issues being discussed, respectful interactions between participants, individuals being open to changing their positions, and a convergence towards collective positions in the interest of formulating civic solutions. The end-product of deliberation on a given issue might thus be termed a deliberative public opinion. ‘Deliberative public opinion’ is neither a cognitive nor an aggregate construct, but rather a socio-historical product. Criteria for its legitimacy rely on the inclusiveness of diversity of perspectives and the degree to which collective positions are defensible to a larger society.
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25

Luyben, Karel Ch A. M., and David J. Bennett. "More public opinion." Nature Biotechnology 12, no. 12 (December 1994): 1313. http://dx.doi.org/10.1038/nbt1294-1313a.

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26

Burrell, Barbara. "Constructing Public Opinion." Social Science Journal 39, no. 2 (June 1, 2002): 312–14. http://dx.doi.org/10.1016/s0362-3319(02)00174-x.

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27

Cook, Fay Lomax, Jason Barabas, and Benjamin I. Page. "Invoking Public Opinion." Public Opinion Quarterly 66, no. 2 (2002): 235–64. http://dx.doi.org/10.1086/340025.

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28

GOLDZIHER, IGNÁCZ. "MUHAMMADAN PUBLIC OPINION." Journal of Semitic Studies XXXVIII, no. 1 (1993): 97–133. http://dx.doi.org/10.1093/jss/xxxviii.1.97.

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29

Armstrong, J. Scott, and William Buchanan. "Public opinion quarterly." International Journal of Forecasting 4, no. 1 (January 1988): 162–64. http://dx.doi.org/10.1016/0169-2070(88)90018-0.

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30

Armstrong, J. Scott, and James B. Lemert. "Public opinion quarterly." International Journal of Forecasting 4, no. 1 (January 1988): 165–66. http://dx.doi.org/10.1016/0169-2070(88)90020-9.

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31

Armstrong, J. Scott, and Steven J. Rosenstone. "Public opinion quarterly." International Journal of Forecasting 4, no. 1 (January 1988): 166–67. http://dx.doi.org/10.1016/0169-2070(88)90021-0.

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32

Armstrong, J. Scott, and Jacob Shamir. "Public opinion quarterly." International Journal of Forecasting 4, no. 1 (January 1988): 167. http://dx.doi.org/10.1016/0169-2070(88)90022-2.

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33

Armstrong, J. Scott. "Public opinion quarterly." International Journal of Forecasting 8, no. 2 (October 1992): 279. http://dx.doi.org/10.1016/0169-2070(92)90129-w.

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34

West, Peter W. "Public school opinion." Manufacturing Engineer 70, no. 4 (1991): 11. http://dx.doi.org/10.1049/me:19910072.

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35

Du, Xu, Matthew Kowalski, Aparna S. Varde, Gerard de Melo, and Robert W. Taylor. "Public opinion matters." ACM SIGWEB Newsletter, Autumn (February 13, 2020): 1–15. http://dx.doi.org/10.1145/3352683.3352688.

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36

Steiner, Linda, and John Zaller. "Public opinion paradigms." Critical Studies in Mass Communication 11, no. 3 (September 1994): 274–87. http://dx.doi.org/10.1080/15295039409366902.

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37

Schiff, Frederick. "Public opinion paradigms." Critical Studies in Mass Communication 11, no. 3 (September 1994): 287–97. http://dx.doi.org/10.1080/15295039409366903.

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38

Saferstein, Barry. "Public opinion paradigms." Critical Studies in Mass Communication 11, no. 3 (September 1994): 298–314. http://dx.doi.org/10.1080/15295039409366904.

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39

Gournay, Sam. "Considering public opinion." British Journal of Healthcare Management 17, no. 12 (December 2011): 569. http://dx.doi.org/10.12968/bjhc.2011.17.12.569.

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40

Fitzgerald, Thomas. "Public opinion sampling." Society 39, no. 6 (September 2002): 53–59. http://dx.doi.org/10.1007/s12115-002-1005-5.

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41

Lippmann, Walter. "Public Opinion : Stereotypes." Questions de communication, no. 44 (December 31, 2023): 287–300. http://dx.doi.org/10.4000/questionsdecommunication.33368.

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42

Suh, Young Jo. ""Public opinion and Politics : Niklas Luhmann’s Theory of Public Opinion"." Journal of Public Policy Studies 36, no. 1 (June 30, 2019): 175–205. http://dx.doi.org/10.33471/ila.36.1.8.

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43

Xu, Zhengzhi, Zi Ye, Haiyang Ye, Lijia Zhu, Ke Lu, Hong Quan, Jun Wang, Shanchuan Gu, Shangfeng Zhang, and Guodao Zhang. "Public Opinion Evolution Law and Sentiment Analysis of Campus Online Public Opinion Events." Journal of Advanced Computational Intelligence and Intelligent Informatics 28, no. 4 (July 20, 2024): 990–1004. http://dx.doi.org/10.20965/jaciii.2024.p0990.

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In the context of the new era, teachers and students in colleges and universities, as well as the general public, rely more on the Internet and social media to obtain news, express their opinions, and share information, and the dissemination of public opinion events in colleges and universities is not only related to the physical and mental health of teachers and students but also to the reform and development of colleges and universities. In this study, we took campus public opinion events as the main research object in which we selected three recent campus public opinion events to be analyzed. The public opinion data used in the research was collected from Weibo social media platforms. Firstly, we analyzed the dissemination cycle and regional dissemination patterns of a college food safety public opinion hot event through the popularity and regional distribution of public opinion data, thus revealing its formation and evolution patterns. Secondly, the LDA topic mining method is used to mine the themes of the three hot public opinion events, and then analyze the hot factors of the dissemination of each public opinion event from the massive public opinion data. This is crucial for the management department to grasp the dynamics of public opinion. Then, we used the SKEP sentiment classification method to analyze the emotional factors of the public opinion data of the three events to obtain the overall public opinion sentiment situation of the events. Finally, based on the characteristics of time, region, and gender, the evolution and diffusion rules of public topics and emotional distribution under different types of events are analyzed. The precision of the analyses associated with this paper may be limited to the effects of current mainstream as well as state-of-the-art analytical models. The analysis methods and conclusions in this paper provide a scientific theoretical basis and improvement measures for campus public opinion management, which helps to enhance the level of campus public opinion management and safeguard campus stability and public order.
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44

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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45

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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46

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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47

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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48

Engueleguele, M. "Public Opinion and Opinion Polls in Cameroon." International Social Science Journal 53, no. 169 (September 2001): 475–87. http://dx.doi.org/10.1111/1468-2451.00337.

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49

Glynn, Carroll J. "Public Opinion as a Normative Opinion Process." Annals of the International Communication Association 20, no. 1 (January 1997): 157–83. http://dx.doi.org/10.1080/23808985.1997.11678941.

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50

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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