E-Government Regimes

2011 ◽  
pp. 3846-3856
Author(s):  
Francesco Amoretti

The internationalization of the reform movement is changing the ways in which governments operate throughout the world (Kettl, 2000). The ICT revolution is fast spreading its reach from private enterprises to bureaucratic agencies. As a result, electronic government (e-government) is both encouraging reform and, in itself, is a way of reinventing traditional structures and procedures and improving how the machinery of decision-making works. The scale of e-government developments is the subject of much research on a global perspective (Kamark, 2004). They show different and conflicting theoretical and ideological paradigms, but very little effort has been made to formulate a framework to define the e-government regimes that emerge in different political and institutional contexts. Since the characteristics of the World Wide Web (WWW) become the parameters from which to evaluate the public organizations and their capacity to innovating in regard to technology policy, the dominant vision of e-government emphasizes service delivery. As Forlano said (2004, p. 35) “the case studies ... bring to life common classification of e-government stages … ,” not to a typology focused on political and institutional features. In this way, a crucial point is underestimated; namely, that the restructuring of the administrative apparatuses because of the WWW is a political choice, and does not take place in a institutional and ideological vacuum, which at the end of the day expresses its nature, whether democratic or otherwise (Barber, 1999).

Author(s):  
F. Amoretti

The internationalization of the reform movement is changing the ways in which governments operate throughout the world (Kettl, 2000). The ICT revolution is fast spreading its reach from private enterprises to bureaucratic agencies. As a result, electronic government (e-government) is both encouraging reform and, in itself, is a way of reinventing traditional structures and procedures and improving how the machinery of decision-making works. The scale of e-government developments is the subject of much research on a global perspective (Kamark, 2004). They show different and conflicting theoretical and ideological paradigms, but very little effort has been made to formulate a framework to define the e-government regimes that emerge in different political and institutional contexts. Since the characteristics of the World Wide Web (WWW) become the parameters from which to evaluate the public organizations and their capacity to innovating in regard to technology policy, the dominant vision of e-government emphasizes service delivery. As Forlano said (2004, p. 35) “the case studies ... bring to life common classification of e-government stages … ,” not to a typology focused on political and institutional features. In this way, a crucial point is underestimated; namely, that the restructuring of the administrative apparatuses because of the WWW is a political choice, and does not take place in a institutional and ideological vacuum, which at the end of the day expresses its nature, whether democratic or otherwise (Barber, 1999).


2020 ◽  
Vol 73 (4) ◽  
pp. 95-102
Author(s):  
Andriy Danylevskyi ◽  
◽  
Yuliya Danylevska ◽  

The public danger of illegal drug trafficking, drug addiction and related phenomena is obvious; therefore the world community is making significant efforts to counter these phenomena, because only through joint efforts it is possible to ensure an effective counteraction to drug trafficking. For this purpose, states adopt a significant number of international normative legal acts. The issues of countering the illegal drug trafficking, psychotropic substances, their analogues and precursors are considered both within the framework of general documents on combating crime, and in special acts. Taking into account the European integration course of Ukraine, the expansion of international cooperation in the sphere of combating the illegal drug trafficking drugs, psychotropic substances, their analogues and precursors, the following issues should be marked as ones of great importance: observance by Ukraine of its international legal obligations; integration into the world system of counteracting drug trafficking; bringing national legislation in line with the provisions of international regulatory legal acts. This article is devoted to the outlined questions. In particular, the provisions of the national legislation in the sphere of illegal drug trafficking, psychotropic substances, their analogues and precursors are analyzed, and the compliance of domestic norms with international regulatory legal acts in the sphere of combating illegal drug trafficking is concluded. The classification of international regulatory legal acts in the sphere of illegal drug trafficking in dependence to the authority that issued them is given. On the basis of the conducted analysis, the author suggests ways to further improvement of the domestic criminal legislation in the sphere of combating drug trafficking. In particular, it is proposed to criminalize the sowing and cultivation of any kind of narcotic drugs, as well as to partially revise the punishment for certain drug crimes.


Over the few years the world has seen a surge in fake news and some people are even calling it an epidemic. Misleading false articles are sold as news items over social media, whatsapp etc where no proper barrier is set to check the authenticity of posts. And not only articles but news items also contain images which are doctored to mislead the public or cause sabotage. Hence a proper barrier to check for authenticity of images related to news items is absolutely necessary. And hence classification of images(related to news items) on the basis of authenticity is imminent. This paper discusses the possibilities of identifying fake images using machine learning techniques. This is an introduction into fake news detection using the latest evolving neural network models


2021 ◽  
Author(s):  
Joanne Chen Lyu ◽  
Eileen Le Han ◽  
Garving K Luli

BACKGROUND Vaccination is a cornerstone of the prevention of communicable infectious diseases; however, vaccines have traditionally met with public fear and hesitancy, and COVID-19 vaccines are no exception. Social media use has been demonstrated to play a role in the low acceptance of vaccines. OBJECTIVE The aim of this study is to identify the topics and sentiments in the public COVID-19 vaccine–related discussion on social media and discern the salient changes in topics and sentiments over time to better understand the public perceptions, concerns, and emotions that may influence the achievement of herd immunity goals. METHODS Tweets were downloaded from a large-scale COVID-19 Twitter chatter data set from March 11, 2020, the day the World Health Organization declared COVID-19 a pandemic, to January 31, 2021. We used R software to clean the tweets and retain tweets that contained the keywords <i>vaccination</i>, <i>vaccinations</i>, <i>vaccine</i>, <i>vaccines</i>, <i>immunization</i>, <i>vaccinate</i>, and <i>vaccinated</i>. The final data set included in the analysis consisted of 1,499,421 unique tweets from 583,499 different users. We used R to perform latent Dirichlet allocation for topic modeling as well as sentiment and emotion analysis using the National Research Council of Canada Emotion Lexicon. RESULTS Topic modeling of tweets related to COVID-19 vaccines yielded 16 topics, which were grouped into 5 overarching themes. Opinions about vaccination (227,840/1,499,421 tweets, 15.2%) was the most tweeted topic and remained a highly discussed topic during the majority of the period of our examination. Vaccine progress around the world became the most discussed topic around August 11, 2020, when Russia approved the world’s first COVID-19 vaccine. With the advancement of vaccine administration, the topic of instruction on getting vaccines gradually became more salient and became the most discussed topic after the first week of January 2021. Weekly mean sentiment scores showed that despite fluctuations, the sentiment was increasingly positive in general. Emotion analysis further showed that trust was the most predominant emotion, followed by anticipation, fear, sadness, etc. The trust emotion reached its peak on November 9, 2020, when Pfizer announced that its vaccine is 90% effective. CONCLUSIONS Public COVID-19 vaccine–related discussion on Twitter was largely driven by major events about COVID-19 vaccines and mirrored the active news topics in mainstream media. The discussion also demonstrated a global perspective. The increasingly positive sentiment around COVID-19 vaccines and the dominant emotion of trust shown in the social media discussion may imply higher acceptance of COVID-19 vaccines compared with previous vaccines.


2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Daw-Hsin Yang ◽  
Tsair-Wei Chien ◽  
Yu-Tsen Yeh ◽  
Ting-Ya Yang ◽  
Willy Chou ◽  
...  

Abstract Background The COVID-19 pandemic occurred and rapidly spread around the world. Some online dashboards have included essential features on a world map. However, only transforming data into visualizations for countries/regions is insufficient for the public need. This study aims to (1) develop an algorithm for classifying countries/regions into four quadrants inn GSM and (2) design an app for a better understanding of the COVID-19 situation. Methods We downloaded COVID-19 outbreak numbers daily from the Github website, including 189 countries/regions. A four-quadrant diagram was applied to present the classification of each country/region using Google Maps run on dashboards. A novel presentation scheme was used to identify the most struck entities by observing (1) the multiply infection rate (MIR) and (2) the growth trend in the recent 7 days. Four clusters of the COVID-19 outbreak were dynamically classified. An app based on a dashboard aimed at public understanding of the outbreak types and visualizing of the COVID-19 pandemic with Google Maps run on dashboards. The absolute advantage coefficient (AAC) was used to measure the damage hit by COVID-19 referred to the next two countries severely hit by COVID-19. Results We found that the two hypotheses were supported: India (i) is in the increasing status as of April 28, 2021; (ii) has a substantially higher ACC(= 0.81 > 0.70), and (iii) has a substantially higher ACC(= 0.66 < 0.70) as of May 17, 2021. Conclusion Four clusters of the COVID-19 outbreak were dynamically classified online on an app making the public understand the outbreak types of COVID-19 pandemic shown on dashboards. The app with GSM and AAC is recommended for researchers in other disease outbreaks, not just limited to COVID-19.


2021 ◽  
Author(s):  
Daw-Hsin Yang ◽  
Tsair-Wei Chien ◽  
Yu-Tsen Yeh ◽  
Ting-Ya Yang ◽  
Willy Chou ◽  
...  

Abstract Background: The COVID-19 pandemic occurred and rapidly spread around the world. Some online dashboards have included essential features on a world map. However, only transforming data into visualizations for countries/regions is insufficient for the public need. This study aims to (1) develop an algorithm for classifying countries/regions into four quadrants inn GSM and (2) design an app for a better understanding of the COVID-19 situation.Methods: We downloaded COVID-19 outbreak numbers daily from the Github website, including 189 countries/regions. A four-quadrant diagram was applied to present the classification of each country/region using Google Maps run on dashboards. A novel presentation scheme was used to identify the most struck entities by observing (1) the multiply infection rate(MIR) and (2) the growth trend in the recent seven days. Four clusters of the COVID-19 outbreak were dynamically classified. An app based on a dashboard aimed at public understanding of the outbreak types and visualizing of the COVID-19 pandemic with Google Maps run on dashboards. The absolute advantage coefficient(AAC) was used to measure the damage hit by COVID-19 referred to the next two countries severely hit by COVID-19.Results: We found that the two hypotheses were supported: India (i) is in the increasing status as of April 28, 2021, (ii) has a substantially higher ACC(=0.81>0.70), and (iii) has a substantially higher ACC(=0.66<0.70) as of May 17,2021. Conclusion: Four clusters of the COVID-19 outbreak were dynamically classified online on an app making the public understand the outbreak types of COVID-19 pandemic shown on dashboards. The app with GSM and AAC is recommended for researchers in other disease outbreaks, not just limited to COVID-19.


Author(s):  
Khalid Muayad Younus

Consider the size of the government sector constitutes a large proportion of the total economic sectors in most countries of the world، as long as dealing with the sector is not confined to a category only، but prevails to all citizens، residents، institutions and others، as long as this deal is multiple in quality and methods and how to model different electronic procedures as an optimal way for the government to enable them to take care of the interests of the public، individuals and institutions electronically using advanced technology without the need for service applicants to move between government departments. Because the government sector as a signification proportion of the total economic sectors in most countries of the world، and because the public sector is not limited to a specific category without the other but prevail all citizens and residents، institution and other، and from here emerged the role of electronic government as an ideal way for the government to enable them to take care of the interests of the public individuals and institution electronically without the need for the applicant of governance، is good governance of the state to take an active conduct at the state level as a whole.


2003 ◽  
Vol 8 (4) ◽  
pp. 238-251
Author(s):  
Victor F. Petrenko ◽  
Olga V. Mitina ◽  
Kirill A. Bertnikov

The aim of this research was the reconstruction of the system of categories through which Russians perceive the countries of the Commonwealth of Independent States (CIS), Europe, and the world as a whole; to study the implicit model of the geopolitical space; to analyze the stereotypes in the perception of different countries and the superposition of mental geopolitical representations onto the geographic map. The techniques of psychosemantics by Petrenko, originating in the semantic differential of Osgood and Kelly's “repertory grids,” were used as working tools. Multidimensional semantic spaces act as operational models of the structures of consciousness, and the positions of countries in multidimensional space reflect the geopolitical stereotypes of respondents about these countries. Because of the transformation of geopolitical reality representations in mass consciousness, the commonly used classification of countries as socialist, capitalist, and developing is being replaced by other structures. Four invariant factors of the countries' descriptions were identified. They are connected with Economic and Political Well-being, Military Might, Friendliness toward Russia, and Spirituality and the Level of Culture. It seems that the structure has not been explained in adequate detail and is not clearly realized by the individuals. There is an interrelationship between the democratic political structure of a country and its prosperity in the political mentality of Russian respondents. Russian public consciousness painfully strives for a new geopolitical identity and place in the commonwealth of states. It also signifies the country's interest and orientation toward the East in the search for geopolitical partners. The construct system of geopolitical perception also depends on the region of perception.


2009 ◽  
pp. 123-129
Author(s):  
Yu. Golubitsky

The article considers business practices of Moscow small industry in the XIX century, basing upon physiological sketches of N. Polevoy and I. Kokorev, statistical data and the classification of professions are also presented. The author claims that the heroes of the analyzed sketches are the forefathers of Moscow small businesses and shows what a deep similarity their occupations and a way of life bear to the present-day routine existence of small enterprises.


2019 ◽  
Vol 26 (2) ◽  
pp. 227-252
Author(s):  
Deborah Solomon

This essay draws attention to the surprising lack of scholarship on the staging of garden scenes in Shakespeare's oeuvre. In particular, it explores how garden scenes promote collaborative acts of audience agency and present new renditions of the familiar early modern contrast between the public and the private. Too often the mention of Shakespeare's gardens calls to mind literal rather than literary interpretations: the work of garden enthusiasts like Henry Ellacombe, Eleanour Sinclair Rohde, and Caroline Spurgeon, who present their copious gatherings of plant and flower references as proof that Shakespeare was a garden lover, or the many “Shakespeare Gardens” around the world, bringing to life such lists of plant references. This essay instead seeks to locate Shakespeare's garden imagery within a literary tradition more complex than these literalizations of Shakespeare's “flowers” would suggest. To stage a garden during the sixteenth and seventeenth centuries signified much more than a personal affinity for the green world; it served as a way of engaging time-honored literary comparisons between poetic forms, methods of audience interaction, and types of media. Through its metaphoric evocation of the commonplace tradition, in which flowers double as textual cuttings to be picked, revised, judged, and displayed, the staged garden offered a way to dramatize the tensions produced by creative practices involving collaborative composition and audience agency.


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