scholarly journals Searching for General Model of Conspiracy Theories and Its Implication for Public Health Policy: Analysis of the Impacts of Political, Psychological, Structural Factors on Conspiracy Beliefs about the COVID-19 Pandemic

2020 ◽  
Vol 18 (1) ◽  
pp. 266 ◽  
Author(s):  
Seoyong Kim ◽  
Sunhee Kim
Keyword(s):  
Health Status ◽  
Perceived Control ◽  
Perceived Risk ◽  
Large Scale ◽  
Structural Factors ◽  
Quality Of Information ◽  
Conspiracy Theories ◽  
Conspiracy Beliefs ◽  
The Government

Along with the spread of the COVID-19 pandemic, beliefs in conspiracy theories are spreading within and across countries. This study aims to analyze predictors of beliefs in conspiracy theories. Because previous studies have emphasized only specific political, psychological, or structural factors or variables, this study constructs an integrated analytical model that includes all three factors. We analyze data from a large-scale survey of Koreans (N = 1525) and find several results. First, political, psychological, and structural factors influence beliefs in conspiracy theories. Second, when we examine the specific influences of the variables, we find that authoritarianism, support for minority parties, religiosity, trust in SNS (social networking services), perceived risk, anxiety, negative emotions, blame attribution, the quantity of information, health status, and health after COVID-19, all positively influence beliefs in conspiracy theories. Conversely, support for President Moon Jae-In’s government, Christianity, trust in the government, perceived control, analytic thinking, knowledge, the quality of information, and gender, all negatively impact these beliefs. Among the predictors, the quality of information, health status, support for President Moon Jae-In’s government, perceived risk, and anxiety have the most decisive impacts on beliefs in conspiracy theories.

Surveying the Ashes: Experience from the 2007 Peloponnese Wildfires Six Months after the Disaster

2011 ◽  
Vol 26 (2) ◽  
pp. 79-89 ◽  
Author(s):  
Vasiliki Papanikolaou ◽  
Gloria R Leon ◽  
John Kyriopoulos ◽  
Jeffrey Levett ◽  
Eleftherios Pallis
Keyword(s):  
Health Status ◽  
Group Living ◽  
Total Sample ◽  
Psychological Status ◽  
Control Group ◽  
Subjective Perception ◽  
The Government ◽  
Perception Of Health ◽  
Positive Effect

AbstractIntroduction: Major disasters disrupt the infrastructure of communities and have lasting psychological, economic, and environmental effects on the affected areas. The psychological status and community effects of the devastating 2007 wildfires on the Peloponnese Peninsula of Greece were assessed six months following the disaster.Methods:Adult inhabitants, 18–65 years of age, living in villages affected by the wildfires were selected randomly and compared with a demographically similar group living in neighboring villages that were unaffected by the fires. Regions were chosen based on the extent of fire damage in that area. There were 409 participants in the fire group, and 391 in the control group. Participants completed a questionnaire that included the SCL-90-R symptom checklist, a subjective perception of health status, and a series of items assessing views about current problems, personal values, and trust in different institutions.Results:The fire group scored significantly higher on psychological distress compared to the control group. Both groups viewed their health status in the previous year as better than at the present time. There were few significant differences between groups in the designation of regional problems, attitudes, and values. In the total sample, 41.6% listed unemployment, and 15.0% listed poverty as the most important problem in their region. The Church was indicated as the most trusted institution by 36.7% of the group and the Government by 13.3%. A total of 30.2% did not have a trusted institution.Conclusions:The hardiness and resilience of the fire-impacted group was evident. However, an improvement in economic conditions is needed to maintain the health and enhance the quality of life of the population living in the Peloponnese region. This improvement likely would have a positive effect on the attitude of trust in government institutions.

The career of radiography: information on the web

2006 ◽  
Vol 6 (1) ◽  
pp. 25-33 ◽  
Author(s):  
E. Glennie ◽  
A. Kirby
Keyword(s):  
The Internet ◽  
High Quality ◽  
Quality Of Information ◽  
Staff Shortage ◽  
Search Terms ◽  
Good Score ◽  
The Government ◽  
Diagnostic Radiography ◽  
The Web

Purpose: To establish whether or not the quantity and quality of information available on the internet about the career of diagnostic radiography is of a good or satisfactory standard.Methods: Four search engines with four different search terms were used and the top twenty hits for each group were read. The applicable sites were scored to determine the quality of each site.Results: Only 12% (37) of the 320 sites read were applicable. Out of the 37 there were 4 sites that gained a good score from the scoring sheet and therefore were classed as high quality, but 21 out of 37 sites did gain half marks or over.Conclusions: In conclusion, the quantity and quality of sites about the career of radiography was not of a satisfactory standard and more attention from both the government and professional bodies is needed if the profession is to gain attention and the staff shortage problem is to be solved.

scholarly journals PENGELOMPOKAN PERSENTASE BUTA HURUF UMUR 15-44 MENURUT PROVINSI MENGGUNAKAN ALGORITMA K-MEANS

2020 ◽  
Vol 7 (3) ◽  
pp. 230
Author(s):  
Saifullah Saifullah ◽  
Nani Hidayati
Keyword(s):  
Data Mining ◽  
Human Resources ◽  
Data Clustering ◽  
Large Scale ◽  
Market Basket ◽  
Large Scale Data ◽  
The Government ◽  
Large Scale Data Processing ◽  
Scale Data

<p><em>Data Mining is a method that is often needed in large-scale data processing, so data mining has important access to the fields of life including industry, finance, weather, science and technology. In data mining techniques there are methods that can be used, namely classification, clustering, regression, variable selection, and market basket analysis. Illiteracy is one of the factors that hinder the quality of human resources. One of the basic things that must be fulfilled to improve the quality of human resources is the eradication of illiteracy among the community. The purpose of this study is to determine the clustering of illiterate communities based on provinces in Indonesia. The results of the study are illiterate data clustering according to the age proportion of 15-44 namely 1 high group node, low group has 27 nodes, and medium group 6 nodes. The results of this study become input for the government to determine illiteracy eradication policies in Indonesia based on provinces.</em></p><p><strong>Kata Kunci</strong>: <em>Illiterate</em><em>, Data mining, K-Means Clustering</em></p><p><em>Data Mining termasuk metode yang sering dibutuhkan dalam pengolahan data berskala besar, maka data mining mempunyai akses penting pada bidang kehidupan diantaranya yaitu bidang industri, bidang keuangan, cuaca, ilmu dan teknologi. Pada teknik data mining terdapat metode-metode yang dapat digunakan yaitu klasifikasi, clustering, regresi, seleksi variabel, dan market basket analisis. Buta huruf merupakan salah satu faktor yang menghambat kualitas sumber daya manusia. Salah satu hal mendasar yang harus dipenuhi untuk meningkatkan kualitas sumber daya manusia adalah pemberantasan buta huruf di kalangan masyarakat</em><em> </em><em>Adapun tujuan penelitian ini adalah menetukan clustering masyarakat buta huruf</em><em> berdasarkan propinsi di Indonesia</em><em>.</em><em> </em><em>Hasil dari penelitian adalah data clustering buta huruf menurut propisi umur 15-44 yaitu</em><em> 1 node</em><em> kelompok tinggi</em><em>,  kelompok rendah memiliki 27 node</em><em>, dan kelompok  sedang  6 node. Ha</em><em>sil penelitian ini menjadi bahan masukan kepada pemerintah untuk menentukan kebijakan</em><em> </em><em>pemberantasan buta huruf di Indonesia berdasarakn propinsi</em><em>.</em></p><p><strong>Kata Kunci</strong>: Buta Huruf, Data mining, <em>K-Means Clustering</em><em></em></p>

scholarly journals Technology Advancement : Implementation of Real Time Mode in Higher Education Examination System

2019 ◽  
pp. 317-327
Author(s):  
Pravin Pandit Shinkar ◽  
Dr. Bechoo Lal
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Learning Opportunities ◽  
Ict In Education ◽  
Examination System ◽  
Real Time Mode ◽  
Research Article ◽  
Technology Advancement ◽  
The Government

In this research article the researcher emphasized thetas move into the 21st century, many factors are bringing strong forces to bear on the adoption of ICTs in education and contemporary trends suggest will soon see large scale changes in the way education is planned and delivered as a consequence of the opportunities and affordances of ICT. It is believed that the use of ICT in education can increase access to learning opportunities. It can help to enhance the quality of education with advanced teaching methods, improve learning outcomes and enable reform or better management of education systems. By employing ICT in teacher training can save a lot of money of the Government. Moreover a lot of qualitative improvement can be seen as resource persons for the training can be best of the world. By employing ICT in administration can help in solving the problem of Absenteeism of students and teachers. Good quality content is one of the major issue and directly affects the standards of education and quality. By overcoming the certain challenges involved in the process of education can help a lot in this side. Conclusively a lot of quality improvement is possible after careful and planned implementation of ICT in education examination System with the help of real time mode.

scholarly journals PENGAWASAN OMBUDSMAN TERHADAP PENYELENGGARAAN PELAYANAN PUBLIK PADA MASA PANDEMI CORONA VIRUS DISEASE 2019 (COVID-19)

2021 ◽  
Vol 6 (1) ◽  
pp. 1-20
Author(s):  
Inggit Akim
Keyword(s):  
Large Scale ◽  
Public Services ◽  
Virus Disease ◽  
Conceptual Approach ◽  
Work From Home ◽  
Corona Virus ◽  
Social Restriction ◽  
The Republic ◽  
The Government

ABSTRACTSupervise the government as the provider of public services to carry out their duties and authorities under applicable regulations. Large-Scale Social Restrictions are restrictions on certain activities in an area suspected of being infected with Corona Virus Disease 2019 (COVID-19), which causes the quality of public services to be disrupted. The Ombudsman has the task of supervising the implementation of shared services organized by state or government officials and private or individual bodies assigned the task of providing services according to minimum service standards as a benchmark for service delivery and assessing the quality of services to the community. The research method used is normative juridical research with a conceptual approach (Statute Approach).The results of this study are large-scale social restriction policies through the Mayor of Tarakan Regulation Number 17 of 2020, restrictions on activities outside the house such as the implementation of learning at schools and/or other educational institutions, Work From Home (WFH), religious movements in houses of worship, activities in public places, social and cultural activities and Mandatory rapid tests for those using Sea and Air transportation modes, and providing social assistance to communities affected by COVID-19. Ombudsman's supervision of public services during the COVID-19 pandemic in Tarakan City, namely by conducting coordination and control and cooperation with state and private officials as well as community or individual organizations, opening an Online Complaint Post for COVID-19 Affected Persons. Also, conduct unannounced checks to improve public services in the City of Tarakan. Based on the supervision, the receipt of reports on suspicion of maladministration and the Ombudsman's investigation results are subject to examination. Suppose it is proven that it has committed maladministration in public services, the Ombudsman of the Republic of Indonesia can take corrective action and provide recommendations/suggestions to state administrators to improve the quality of public services. Keywords: Surveillance; Ombudsman; Public Service; COVID-19 Pandemic

scholarly journals Partnership Model for Optimizing the Use of Village Funds

2021 ◽  
Vol 7 (2) ◽  
pp. 1-15
Author(s):  
Mukhtar Sarman
Keyword(s):  
Rural Communities ◽  
Human Resources ◽  
Rural Areas ◽  
Large Scale ◽  
Field Research ◽  
Secondary Data ◽  
Partnership Model ◽  
Self Reliance ◽  
The Government

Since 2015, the Government has allocated village development funds in the form of Village Fund policies of IDR 20.7 trillion, then in 2016 it increased to IDR 46.9 trillion, and continues to increase in the following years. However, based on field research in a number of regions in Indonesia, it turns out that the use of Village Funds is not optimal, some of which have been proven wrongly targeted, not transparent in use, and not accountable in reporting. The aspect of planning activities and the quality of human resources implementing policies and coordination between parties that should play a role are still a major problem. The PPP (Public-Private Partnership) model is actually intended for the development of large-scale projects, such as the construction of highways or seaports and airports. But by taking the substance of cooperation from the parties that each have strengths, the PPP model (and its variants) may be applicable in the use of Village Funds. Using secondary data analysts, the following article discusses the theoretical aspects of the advantages of the PPP model. This model is juxtaposed with cases of success in building the economic self-reliance of rural communities with the help of private parties and academics. It is assumed that the partnership model can be an alternative solution to further optimize the use of Village Funds in order to reduce poverty in rural areas.  

scholarly journals The Challenges of Using Citizen Reporting to Improve Public Services: A Field Experiment on Solid Waste Services in Uganda

2020 ◽  
Author(s):  
Mark T Buntaine ◽  
Patrick Hunnicutt ◽  
Polycarp Komakech
Keyword(s):  
Field Experiment ◽  
Solid Waste ◽  
Information And Communication Technologies ◽  
Large Scale ◽  
Public Services ◽  
Municipal Government ◽  
Search Costs ◽  
Large Scale Field ◽  
The Government

Abstract Governments around the world are investing in technologies that allow citizens to participate in the coproduction of public services by providing monitoring and feedback, but there is little evidence about how these initiatives affect the quality of public services. We implemented a large-scale field experiment that involved organizing 50 citizen reporters in each of 100 neighborhoods across Kampala, Uganda, to provide weekly reports to the municipal government about the delivery of solid waste services via an SMS-messaging platform, resulting in 23,856 reports during the 9-month study period. Citizen reporting did not reduce informal waste accumulation as targeted, which would indicate improvements to formal services. Using our observations as participants in the development and deployment of the reporting platform and interviews with staff at the government agency receiving the citizen reports, we show how the public generated inconsistent information that did not fit existing decision-making processes. We generalize lessons from this field experiment by explaining how coproduction involving information sharing through information and communication technologies is likely to affect public services based on the alignment of citizen-produced data with the information problems managers face; the search costs of detecting public services failures; the quality of citizen-produced data; and the operating costs of citizen-reporting platforms.

How Can E-Vendors Create Trust in B2C and C2C Contexts?

2018 ◽  
pp. 1390-1412
Author(s):  
Sonia San-Martín ◽  
Carmen Camarero
Keyword(s):  
Perceived Risk ◽  
Signaling Theory ◽  
Consumer Trust ◽  
Quality Of Information ◽  
Multigroup Analysis ◽  
Competitive Prices

One of the most important and the most difficult challenges in the context of an online as opposed to an offline purchase is how to generate consumer trust. It is likely that the signals that generate trust will differ in online C2C auctions from online B2C purchasing through other Websites. This chapter follows signaling theory and presents a model that attempts to capture the effects of Website signals and perceived risk on consumer trust and draws comparisons between C2C and B2C online contexts using multigroup analysis. Using information collected from a sample of online buyers, results show that vendors should stress the quality of information given to the client on C2C Websites, the offer of a wide variety of competitive prices, and the guarantee of meeting deadlines, whereas in the case of B2C sites there seem to be a series of factors that create trust in a balanced way.

How Can E-Vendors Create Trust in B2C and C2C Contexts?

2014 ◽  
pp. 72-92 ◽  
Author(s):  
Sonia San-Martín ◽  
Carmen Camarero
Keyword(s):  
Perceived Risk ◽  
Signaling Theory ◽  
Consumer Trust ◽  
Quality Of Information ◽  
Multigroup Analysis ◽  
Competitive Prices

One of the most important and the most difficult challenges in the context of an online as opposed to an offline purchase is how to generate consumer trust. It is likely that the signals that generate trust will differ in online C2C auctions from online B2C purchasing through other Websites. This chapter follows signaling theory and presents a model that attempts to capture the effects of Website signals and perceived risk on consumer trust and draws comparisons between C2C and B2C online contexts using multigroup analysis. Using information collected from a sample of online buyers, results show that vendors should stress the quality of information given to the client on C2C Websites, the offer of a wide variety of competitive prices, and the guarantee of meeting deadlines, whereas in the case of B2C sites there seem to be a series of factors that create trust in a balanced way.

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