scholarly journals A Study on the Decision-Making of Effective S/W Education based on Opinion Mining Analysis

2018 ◽  
Vol 7 (4.16) ◽  
pp. 5-9
Author(s):  
Ji-Hoon Seo ◽  
Ji-Hoon Seo ◽  
Nam-Hun Park ◽  
Kil-Hong Joo
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Opinion Mining ◽  
Ministry Of Education ◽  
Education Policies ◽  
The Public ◽  
Evaluation Functions ◽  
Effective Policy ◽  
Policy Agendas ◽  
Set Up

The Currently, along with the advent of the web 2.0 era, due to the continuous expansion of social media service infrastructures, the shares of conventional public opinion evaluation functions have been gradually shifting from the existing mass media to social media. This phe-nomenon is attributable to the two-way communication and convenience unique to social media and social media are now in charge of an axis of public opinion evaluation standards. In particular, since diverse interests conflict in education policies and countless conflicts of opinions occur in the process of setting up policy agendas, in establishing education policies, accurately analyzing reputations among the public, who are the targets of education policies, in order to set up effective policy agendas, is the most important issue. Therefore, in this study, the resultant values of huge unstructured data on the positive and negative reputations of past policy agendas related to the mandatory software education that has been organized as a regular curriculum of middle/high schools from 2018 in Korea, which have been addressed by the Ministry of Education, the Ministry of Science, ICT and Future Planning, and the Korea Foundation for the Advancement of Science and Creativity, felt and judged by the general public on social media such as blogs and Twitter and on online media including portal news were visualized through opinion mining analysis techniques to derive more effective software education related policy agendas. In addition, based on the foregoing, a Korean style software education system that fits circumstances was constructed and the system is expected to become an important measure that provides guidelines for setting mid/long-term road maps for the fostering of creative and convergent talented persons equipped with international competitiveness and software education in Korea.  

scholarly journals Social media and sentiment in bioenergy consultation

2016 ◽  
Vol 10 (1) ◽  
pp. 87-98 ◽  
Author(s):  
Victoria Uren ◽  
Daniel Wright ◽  
James Scott ◽  
Yulan He ◽  
Hassan Saif
Keyword(s):  
Social Media ◽  
New Media ◽  
Sentiment Analysis ◽  
Opinion Mining ◽  
Public Consultation ◽  
Short Paper ◽  
Consultation Process ◽  
Content Type ◽  
The Public ◽  
The Uk

Purpose – This paper aims to address the following challenge: the push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organizations towards energy development projects. Design/methodology/approach – This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised and illustrated using a sample of tweets containing the term “bioenergy”. Findings – Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable methodology, which bioenergy companies should be using to measure public opinion in the consultation process. Preliminary analysis shows promising results. Research limitations/implications – Analysis is preliminary and based on a small dataset. It is intended only to illustrate the potential of sentiment analysis and not to draw general conclusions about the bioenergy sector. Social implications – Social media have the potential to open access to the consultation process and help bioenergy companies to make use of waste for energy developments. Originality/value – Opinion mining, though established in marketing and political analysis, is not yet systematically applied as a planning consultation tool. This is a missed opportunity.

Profiling the Users of High Influence on Social Media in the Context of Public Events

2021 ◽  
Vol 32 (2) ◽  
pp. 36-49
Author(s):  
Lu An ◽  
Junyang Hu ◽  
Manting Xu ◽  
Gang Li ◽  
Chuanming Yu
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Emergency Management ◽  
Emotional Support ◽  
Opinion Leader ◽  
Negative Effects ◽  
The Public ◽  
Public Events ◽  
Social Media Platforms ◽  
Influential Users

The highly influential users on social media platforms may lead the public opinion about public events and have positive or negative effects on the later evolution of events. Identifying highly influential users on social media is of great significance for the management of public opinion in the context of public events. In this study, the highly influential users of social media are divided into three types (i.e., topic initiator, opinion leader, and opinion reverser). A method of profiling highly influential users is proposed based on topic consistency and emotional support. The event of “Jiankui He Editing the Infants' Genes” was investigated. The three types of users were identified, and their opinion differences and dynamic evolution were revealed. The comprehensive profiles of highly influential users were constructed. The findings can help emergency management departments master the focus of attention and emotional attitudes of the key users and provide the method and data support for opinion management and decision-making of public events.

Multidimensional influencing factors of public opinion information dissemination in social media: Evidence from Weibo dataset

2019 ◽  
Vol 33 (31) ◽  
pp. 1950375 ◽  
Author(s):  
Guanghui Wang ◽  
Yufei Wang ◽  
Kaidi Liu ◽  
Jimei Li
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Information Content ◽  
Influencing Factors ◽  
Network Structure ◽  
Information Dissemination ◽  
Influential Factors ◽  
Channel Network ◽  
The Public ◽  
Information Characteristics

The factors influencing the dissemination of public opinion on social media, the main carrier of public opinion, are diverse, complex and changeable. Existing studies of influential factors of public opinion dissemination focus on the information itself and information sources in the dissemination process, failing to consider the comprehensive influence of multidimensional factors, such as information content, sources and channels. This study takes the identification of multidimensional influential factors of social media information dissemination as the research object and comprehensively sorts out the influencing factors of public opinion. To improve the scientific basis and accuracy of the research, multidimensional factors, including information characteristics, dissemination network structure and user-level attributes, are selected to analyze the effect of influential factors in different dimensions on the dissemination of social media public opinion information using econometric models. Three main conclusions of this paper are as follows: (1) The traditional information characteristics (information content) and information source attributes (user-level factor) are not the only key factors affecting information dissemination, while the information channel (network structure) is worth more consideration. (2) Netizens tend to pay more attention to the psychological and emotional attributes of information when forwarding public opinions. The communication mode in which offline social elites enlighten the public no longer exists; whether a user is a network celebrity or lives in the central area no longer significantly affects public opinion dissemination. (3) The higher the total amount of information users release, the more the information would interfere with the public opinion. This is mainly because users with a higher level of activity may release more invalid information about advertising that has nothing to do with public opinion events.

Corruption and the Public Service Ethos in Mid-Victorian Administration: The Case of Leonard Horner and the Factory Office*

2020 ◽  
Vol 135 (575) ◽  
pp. 860-891
Author(s):  
Ian Cawood
Keyword(s):  
Public Opinion ◽  
Public Service ◽  
Public Support ◽  
Political Corruption ◽  
The Public ◽  
Victorian Britain ◽  
The Press ◽  
The Government ◽  
Set Up ◽  
Changing Attitudes

Abstract While the problem of political corruption in mid-nineteenth century Britain has been much studied, the experience of corrupt behaviour in public bodies, both new and long established, is comparatively neglected. This article takes the example of one of the first inspectorates set up after the Great Reform Act, the Factory Office, to examine the extent of corrupt practices in the British civic state and the means whereby it was addressed. It examines the changing processes of appointment, discipline and promotion, the issues of remuneration and venality, and the relationships between inspectors, workers, factory owners, the government and the wider civil service, and the press and public opinion. The article argues that the changing attitudes of the inspectors, especially those of Leonard Horner, were indicative of a developing ‘public service ethos’ in both bureaucratic and cultural settings and that the work of such unsung administrators was one of the agencies through which corrupt behaviour in the civic structures of Victorian Britain was, with public support, challenged. The article concludes that the endogenous reform of bureaucratic practice achieved by the factory inspectorate may even be of equal significance as that which resulted from the celebrated Northcote–Trevelyan Report of 1854.

Multidimensional mining of public opinion in emergency events

2020 ◽  
Vol 38 (3) ◽  
pp. 545-560
Author(s):  
Qingqing Zhou ◽  
Ming Jing
Keyword(s):  
Public Opinion ◽  
Opinion Mining ◽  
Content Type ◽  
The Public ◽  
Fine Grained ◽  
Multiple Dimensions ◽  
Emergency Event ◽  
Comprehensive Information ◽  
Opinion Expression ◽  
Emergency Events

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.

scholarly journals Can online exemplars trigger a spiral of silence? Examining the effects of exemplar opinions on perceptions of public opinion and speaking out

2016 ◽  
Vol 19 (7) ◽  
pp. 1034-1051 ◽  
Author(s):  
Thomas Zerback ◽  
Nayla Fawzi
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Sphere ◽  
Public Support ◽  
Spiral Of Silence ◽  
The Public ◽  
Speaking Out ◽  
Modern Media ◽  
Media Environments ◽  
The Public Sphere

In modern media environments, social media have fundamentally altered the way how individual opinions find their way into the public sphere. We link spiral of silence theory to exemplification research and investigate the effects of online opinions on peoples’ perceptions of public opinion and willingness to speak out. In an experiment, we can show that a relatively low number of online exemplars considerably influence perceived public support for the eviction of violent immigrants. Moreover, supporters of eviction were less willing to speak out on the issue online and offline when confronted with exemplars contradicting their opinion.

scholarly journals A Study on the Topic-Sentiment Evolution and Diffusion in Time Series of Public Opinion Derived from Emergencies

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Meng Cai ◽  
Han Luo ◽  
Ying Cui
Keyword(s):  
Public Health ◽  
Social Media ◽  
Time Series ◽  
Public Opinion ◽  
Public Health Emergency ◽  
Classification Model ◽  
Temporal Networks ◽  
Public Opinions ◽  
The Public ◽  
And Diffusion

With the development of the Internet, social media has become an important platform for people to deal with emergencies and share information. When a public health emergency occurs, the public can understand the topics of the event and perceive the sentiments of others through social media, thus building a cooperative communication network. In this study, we took the public health emergency as the main research object and the natural disaster, accident, and social security event as the secondary research object and further revealed the law of the formation and evolution of public opinion through the analysis on temporal networks of topics and sentiments in social media platforms. Firstly, we identified the derived topics by constructing the topic model and used the sentiment classification model to divide the text sentiments of the derived topics into two types: positive sentiment and negative sentiment. Then, the ARIMA time series model was used to fit and predict the evolution and diffusion rules of topics and sentiments derived from public opinions on temporal networks. It was found that the evolution law of derived public opinions had similarities and differences in various types of emergencies and was closely related to government measures and media reports. The related research provides a foundation for the management of network public opinion and the realization of better emergency effects.

scholarly journals PROGRAM PENYULUHAN PENGENALAN PERAN SUMBU SEBAGAI PENGIKAT PERKEMBANGAN FISIK KAWASAN BAGI MASYARAKAT PERKOTAAN

2021 ◽  
Vol 1 (1) ◽  
pp. 28-32
Author(s):  
Edhi Prasetya ◽  
Agus S Sadana ◽  
Ashri Prawesti, ST, M.SiP ◽  
Diptya Anggita, ST, MT ◽  
Swambodo M. Adi, ST, M.Ars. ◽  
...  
Keyword(s):  
Social Media ◽  
Urban Communities ◽  
Community Service ◽  
Learning Process ◽  
Ministry Of Education ◽  
The Public ◽  
Online Social Media ◽  
Service Activity ◽  
The City ◽  
Heritage Area

Community service, is the mandate from the Ministry of Education and Culture, to close the distance between the world of education and the daily life of the community, this activity is a manifestation of the implementation of Community Service activities based on the scientific expertise of Architecture. The implementation of this community service activity is in the form of an introduction aimed at various groups in urban communities, conveyed online through Instagram social media. The purpose of this outreach implementation activity is to provide knowledge to the public about the importance of the values ​​of the imaginary axis of the heritage area as the city identity. The implementation of this counseling is related to the material and learning process in the KOKA (Kuliah dan Observasi Kajian Arsitektur) course which has been routinely programmed in each lecture process. On this occasion, which was still in a pandemic condition, the exposure of counseling materials related to the KOKA learning process was transferred in the form of online material exposure through Instagram online social media. As an embodiment, on this occasion the material preparation was carried out based on the direction of the Lecturer Team by involving the student team to produce the online poster. With the implementation of online, the exposure material will continue to be conveyed to the target community automatically since the material is broadcast.

scholarly journals Public Opinion Mining on Social Media

IJARCCE ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 934-937
Author(s):  
Reema D ◽  
J Nagesh Babu
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Opinion Mining

scholarly journals Psychological Analysis of Jokowi’s First 100 Days and Nawacita from Text in Twitter

2018 ◽  
Vol 21 (3) ◽  
pp. 173
Author(s):  
Indro Adinugroho ◽  
Smitha Sjahputri ◽  
Judotens Budiarto ◽  
Roby Muhamad
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Human Behavior ◽  
Strategic Plan ◽  
Political Issues ◽  
Public Response ◽  
The Public ◽  
Psychological Analysis ◽  
Valence And Arousal ◽  
Negative Sentiment

In recent days, the public often uses social media such as Twitter for delivering critics; appreciation and campaign related to Government and political issues. The existence of Twitter is changing human behavior rapidly. This study aims to identify Twitter as a medium to generate public opinion concerning two political issues, the 7th Indonesian President first 100 days and public response towards his strategic plan, Nawacita. Method applied in this study is a combination of contemporary research instruments that combines technology and psychology. In this study, the authors examined conversation on Twitter by using Tracker and Algoritma Kata (AK, words algorithm). Tracker is used to collecting conversation on twitter regarding Jokowi’s first 100 days and Nawacita, whereas AK is applied to identify valence and arousal in each tweet collected by Tracker. The finding shows the domination of positive tweets in every week. However, there is a moment where the number of positive tweets was close to negative tweets. In Nawacita issue, law reformation and enforcement was the issue that has highest negative sentiment among others.

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