scholarly journals Peculiarities of Ukrainians’ Approval of Decentralization Reform

2021 ◽  
Vol 11 (4) ◽  
pp. 104
Author(s):  
Marta Dmytryshyn ◽  
Roman Dmytryshyn ◽  
Valentyna Yakubiv ◽  
Andriy Zagorodnyuk
Keyword(s):  
Public Opinion ◽  
Government Reform ◽  
Sociological Research ◽  
Comfort Zone ◽  
Opinion Analysis ◽  
Taxonomic Analysis ◽  
Public Approval ◽  
Decentralization Reform ◽  
The Impact

Every countrywide reform can always have specific opponents and fans as the changes make people leave their comfort zone. As an example, we have chosen a Ukrainian decentralization reform. Although this local self-government reform can be considered the most successful in our country, the attitude of Ukrainians to the changes has not always been unambiguous. Using taxonomic analysis, the paper calculates the integrated indicator of public approval of decentralization reform in Ukraine based on sociological research for 2015–2020. We have described the features of conducting surveys in different periods and identified the reasons for the emergence of such an attitude to the reform. We have also calculated the weights of the impact of each primary indicator on the integrated indicator, which helped us identify the weaknesses and strengths of the reform in public opinion Furthermore, the analysis allowed us to reveal and substantiate a set of problems in implementing decentralization reform in Ukraine, and the causes and solutions were worked out for each problem. Finally, we have made a generalized algorithm for the application of the experience of public opinion analysis in planning and carrying out reforms.

Text-Preprocessing Model Youtube Comments in Indonesian

2020 ◽  
Vol 4 (4) ◽  
pp. 648-654
Author(s):  
Siti Khomsah ◽  
Agus Sasmito Aribowo
Keyword(s):  
Public Opinion ◽  
Sentiment Analysis ◽  
Text Processing ◽  
Government Policies ◽  
Opinion Analysis ◽  
Internet Users ◽  
Main Challenge ◽  
Text Preprocessing ◽  
The Impact ◽  
Better Than

YouTube is the most widely used in Indonesia, and it’s reaching 88% of internet users in Indonesia. YouTube’s comments in Indonesian languages produced by users has increased massively, and we can use those datasets to elaborate on the polarization of public opinion on government policies. The main challenge in opinion analysis is preprocessing, especially normalize noise like stop words and slang words. This research aims to contrive several preprocessing model for processing the YouTube commentary dataset, then seeing the effect for the accuracy of the sentiment analysis. The types of preprocessing used include Indonesian text processing standards, deleting stop words and subjects or objects, and changing slang according to the Indonesian Dictionary (KBBI). Four preprocessing scenarios are designed to see the impact of each type of preprocessing toward the accuracy of the model. The investigation uses two features, unigram and combination of unigram-bigram. Count-Vectorizer and TF-IDF-Vectorizer are used to extract valuable features. The experimentation shows the use of unigram better than a combination of unigram and bigram features. The transformation of the slang word to standart word raises the accuracy of the model. Removing the stop words also contributes to increasing accuracy. In conclusion, the combination of preprocessing, which consists of standard preprocessing, stop-words removal, converting of Indonesian slang to common word based on Indonesian Dictionary (KBBI), raises accuracy to almost 3.5% on unigram feature.

Public space of the trustworthiness of sociological knowledge: The case of electoral research

2020 ◽  
pp. 13-22
Author(s):  
OLEKSANDR STEGNII
Keyword(s):  
Public Space ◽  
Research Process ◽  
Negative Influence ◽  
Election Campaign ◽  
Sociological Research ◽  
Good Tool ◽  
Sociological Knowledge ◽  
The Public ◽  
Approval Ratings ◽  
The Impact

The paper analyses specific features of sociological data circulation in a public space during an election campaign. The basic components of this kind of space with regard to sociological research are political actors (who put themselves up for the election), voters and agents. The latter refer to professional groups whose corporate interests are directly related to the impact on the election process. Sociologists can also be seen as agents of the electoral process when experts in the field of electoral sociology are becoming intermingled with manipulators without a proper professional background and publications in this field. In a public space where an electoral race is unfolding, empirical sociological research becomes the main form of obtaining sociological knowledge, and it is primarily conducted to measure approval ratings. Electoral research serves as an example of combining the theoretical and empirical components of sociological knowledge, as well as its professional and public dimensions. Provided that sociologists meet all the professional requirements, electoral research can be used as a good tool for evaluating the trustworthiness of results reflecting the people’s expression of will. Being producers of sociological knowledge, sociologists act in two different capacities during an election campaign: as analysts and as pollsters. Therefore, it is essential that the duties and areas of responsibility for professional sociologists should be separated from those of pollsters. Another thing that needs to be noted is the negative influence that political strategists exert on the trustworthiness of survey findings which are going to be released to the public. Using the case of approval ratings as an illustration, the author analyses the most common techniques aimed at misrepresenting and distorting sociological data in the public space. Particular attention is given to the markers that can detect bogus polling companies, systemic violations during the research process and data falsification.

Features and tendencies of budgetary provision of Zaporizhzhya region development in the conditions of budget decentralization

2019 ◽  
pp. 88-97
Author(s):  
Iryna Storonyanska ◽  
Liliya Benovska
Keyword(s):  
Comparative Analysis ◽  
Regional Development ◽  
State Budget ◽  
Regional Center ◽  
The Social ◽  
Graphical Visualization ◽  
Social And Economic Development ◽  
Decentralization Reform ◽  
Regional Development Strategies ◽  
The Impact

The purpose of the article is to study trends and identify problems of budgetary provision of the development of Zaporizhzhia region in the context of budgetary decentralization reform. Methods of systematic and comparative analysis, graphical visualization, generalization and statistical methods were used for the study. The article examines the impact of decentralization reform on the financial provision of social and economic development of administrative and territorial units of Zaporizhzhia region. The comparative analysis of the budgetary provision of the development of Zaporizhzhya region and other regions of the Central region is conducted. The article describes the trends and problems of Zaporizhzhya region development. The following positive trends were revealed: increase of revenues to local budgets of the region; reduction of transfer dependence of the region on the state budget; formation of high-taxation CTCs. The negative tendencies of development were: increase of differentiation of financial provision of the development of the regional center and other administrative and territorial units, reduction of the growth rate of revenues to the development budget of Zaporizhzhia region. Attention is drawn to the fact that under the conditions of decentralization reform and administrative and territorial reform, consolidated territorial communities are actively being formed in the Zaporizhzhya region, most of them with high financial capacity, which testifies to the high potential of regional development. The article analyzes the regional target programs of Zaporizhzhia region and clarifies the possibilities of their integration with the Action Plans for implementation of the Regional Development Strategies. The dominance of the social component over the development of regional target programs and low level of implementation of a number of programs are emphasized.

Public Opinion in Israel: The Sociodemographic Nexus

2019 ◽  
Author(s):  
Tamar Hermann
Keyword(s):  
Public Opinion ◽  
The State ◽  
The Political ◽  
Strategic Issues ◽  
National Consensus ◽  
Deep Disagreements ◽  
Political Right ◽  
The Impact

In Israel, as in many other countries, the impact of public opinion on national policymaking has increased dramatically over the last few decades. In fact, public opinion has practically developed into one of the prime political inputs in Israel. This chapter argues that this increased impact, which could have contributed to improving the Israeli democracy, is in fact often undermined by the increasing overlapping of the main cleavages within Israel: between the political Right and Left, between Jews and Arabs, and between religious and secular Israelis. This extreme overlapping has severely eroded the national consensus and accelerated the emergence of deep disagreements in public opinion over strategic issues, such as the nature of the state (Jewish? Democratic?), the main challenges facing the nation (including the best way of dealing with the protracted Israeli–Palestinian conflict), and the desired collective future.

scholarly journals A Public Opinion Analysis System Based on Emotion Analysis in Linyi

2021 ◽  
Vol 1757 (1) ◽  
pp. 012116
Author(s):  
Jiaqian Zhou ◽  
Jihou Wang ◽  
Qintao Li ◽  
Yulian Wen ◽  
Yan Zhang ◽  
...  
Keyword(s):  
Public Opinion ◽  
Emotion Analysis ◽  
Opinion Analysis ◽  
Analysis System

Double, triple or quadruple hits? Exploring the impact of cybercrime on victims in the Netherlands

2021 ◽  
pp. 026975802110106
Author(s):  
Raoul Notté ◽  
E.R. Leukfeldt ◽  
Marijke Malsch
Keyword(s):  
Public Opinion ◽  
Literature Review ◽  
The Netherlands ◽  
Public Discourse ◽  
Moral Judgments ◽  
Victim Blaming ◽  
High Prevalence ◽  
Different Types ◽  
The Impact ◽  
Insight Into

This article explores the impact of online crime victimisation. A literature review and 41 interviews – 19 with victims and 22 with experts – were carried out to gain insight into this. The interviews show that most impacts of online offences correspond to the impacts of traditional offline offences. There are also differences with offline crime victimisation. Several forms of impact seem to be specific to victims of online crime: the substantial scale and visibility of victimhood, victimisation that does not stop in time, the interwovenness of online and offline, and victim blaming. Victims suffer from double, triple or even quadruple hits; it is the accumulation of different types of impact, enforced by the limitlessness in time and space, which makes online crime victimisation so extremely invasive. Furthermore, the characteristics of online crime victimisation greatly complicate the fight against and prevention of online crime. Finally, the high prevalence of cybercrime victimisation combined with the severe impact of these crimes seems contradictory with public opinion – and associated moral judgments – on victims. Further research into the dominant public discourse on victimisation and how this affects the functioning of the police and victim support would be valuable.

Regaining Control? The Political Impact of Policy Responses to Refugee Crises

2021 ◽  
pp. 1-34
Author(s):  
Omer Solodoch
Keyword(s):  
Public Opinion ◽  
Causal Effect ◽  
Political Trust ◽  
Sampling Period ◽  
The Political ◽  
Government Control ◽  
Policy Responses ◽  
Immigration And Asylum ◽  
Border Controls ◽  
The Impact

Abstract In response to the political turmoil surrounding the recent refugee crisis, destination countries swiftly implemented new immigration and asylum policies. Are such countercrisis policies effective in mitigating political instability by reducing anti-immigrant backlash and support for radical-right parties? The present study exploits two surveys that were coincidentally fielded during significant policy changes, sampling respondents right before and immediately after the change. I employ a regression discontinuity design to identify the short-term causal effect of the policy change on public opinion within a narrow window of the sampling period. The findings show that both Swedish border controls and the EU–Turkey agreement significantly reduced public opposition to immigration in Sweden and Germany, respectively. In Germany, support for the AfD party also decreased following the new policy. Public opinion time trends suggest that the policy effects were short lived in Sweden but durable in Germany. These effects are similar across different levels of proximity to the border and are accompanied by increasing political trust and a sense of government control over the situation. The findings have implications for understanding the impact of border controls on international public opinion, as well as for assessing the electoral effect of policy responses to global refugee crises.

Study on the Operation Model of Colleges Network Learning Propaganda and Public Opinion Guidance Based on the Internet

2013 ◽  
Vol 380-384 ◽  
pp. 2104-2108
Author(s):  
Chen Liang Li ◽  
Ming Xia Zhu
Keyword(s):  
Public Opinion ◽  
Information Science ◽  
Internet Technology ◽  
The Internet ◽  
C Language ◽  
Network Learning ◽  
Maximum Value ◽  
Network Transmission ◽  
The Impact ◽  
Important Significance

With the development of computer information science and technology, Internet has a large number of network propaganda and public opinion page every day. Through the network micro message and the micro-blog forwarding, network propaganda and public opinion have the impact on the development and stability of colleges, so the study network propaganda and public opinion has important significance for the development of colleges. Under this background, based on the computer Internet technology, the Internet erection of network propaganda guidance mode are analyzed, and compared with the fuzzy minimum production tree theory and the C language software, the network construction is verified. Finally the iterative process of finding the network transmission is relatively stable, after 800 iterative steps, numerical is slowly increasing, in which the maximum value is about 0.0001. The seven school propaganda is been as the minimum spanning of tree main network, its sum of weighted has been up to 1606.

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