scholarly journals On the Development of an Information System for Monitoring User Opinion and its Role for the Public

2021 ◽  
Author(s):  
Vladislav Karyukin ◽  
Galimkair Mutanov ◽  
Zhanl Mamykova ◽  
Gulnar Nassimova ◽  
Saule Torekul ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Information System ◽  
English Language ◽  
Negative Attitude ◽  
Machine Learning Algorithms ◽  
The Public ◽  
Social Analytics ◽  
The Government ◽  
Media Monitoring

Abstract Social media services and analytics platforms are rapidly growing. A large number of various events happen mostly every day, and the role of social media monitoring tools is also increasing. Social networks are widely used for managing and promoting brands and different services. Thus, most popular social analytics platforms aim for business purposes while monitoring various social, economic, and political problems remains underrepresented and not covered by thorough research. Moreover, most of them focus on resource-rich languages such as the English language, whereas texts and comments in other low-resource languages such as the Russian and Kazakh languages in social media are not represented well enough. So, this work is devoted to developing and applying the information system called the OMSystem for analyzing users’ opinions on news portals, blogs, and social networks in Kazakhstan. The system uses sentiment dictionaries of the Russian and Kazakh languages and machine learning algorithms to determine the sentiment of social media texts. The whole structure and functionalities of the system are also presented. In the experimental part, the system’s monitoring of the healthcare, political and social aspects of the most relevant topics connected with the vaccination against the coronavirus disease are thoroughly observed and analyzed. The analysis allowed discovering the public social mood in the cities of Almaty and Nur-Sultan and other large regional cities of Kazakhstan. The system’s study included two extensive periods: 10-01-2021 to 30-05-2021 and 01-07-2021 to 12-08-2021. In the obtained results, people’s mood and attitude to the Government’s policies and actions were studied by such social network indicators as the level of topic discussion activity in society, the level of interest in the topic in society, and the mood level of society. These indicators calculated by the OMSystem allowed careful identification of alarming factors of the public (negative attitude to the government regulations, vaccination policies, trust to vaccination, etc.) and assessment of the social mood.

scholarly journals DESIGN AND DEVELOPEMENT OF TRENDYINSIGHT APPLICATION SOFTWARE FOR LOCATION BASED SOCIAL MEDIA TRENDING

2018 ◽  
Vol XLII-5 ◽  
pp. 809-812
Author(s):  
S. S. Kumar ◽  
S. Reddy ◽  
S. Saran ◽  
S. Kocaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Low Cost ◽  
Application Software ◽  
The Public ◽  
Current Location ◽  
Public Data ◽  
Customer Services ◽  
The Government

<p><strong>Abstract.</strong> With as many as one third of population have become social media users exchanging information, thanks to low cost smart phones availability and social messaging platforms like Facebook, Twitter, WhatsApp, Instagram etc., TrendyInsight will play a major role on listening the public concern on local or regional issues bothering them for the government authorities to learn and prepare the remedial action. Similarly, businesses of consumer industries will be benefited from TrendyInsight for better customer services.</p><p><i>TrendyInsight</i> – an application software designed and developed to work in iOS platform to capture trending topics from various social networks websites based on user location and present it in graphically on map. The application utilizes the uniqueness of each social network data through Application Program Interface (API) requests based on the trend. The application eliminates the need of user login to access the public data of these social networks. The application provides other experience enhancement features like showing user’s current location, updating the trending data every interval of time, searching for custom location, getting data for any custom hashtag, and settings tab to customize the type of data to be received from the social network APIs. The application was built on Swift 4 and deployment target operating system is iOS 11.</p>

Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ahmad Mir ◽  
Sevukan Rathinam ◽  
Sumeer Gul
Keyword(s):  
Social Media ◽  
Public Perception ◽  
English Language ◽  
Social Issues ◽  
Application Programming Interface ◽  
Content Type ◽  
The Public ◽  
Public Reaction ◽  
Types Of Information ◽  
The Impact

PurposeTwitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global pandemic and is discussed worldwide. Social media is an instant platform to deliberate various dimensions of COVID-19. The purpose of the study is to explore and analyze the public sentiments related to COVID-19 vaccines across the Twitter messages (positive, neutral, and negative) and the impact tweets make across digital social circles.Design/methodology/approachTo fetch the vaccine-related posts, a manual examination of randomly selected 500 tweets was carried out to identify the popular hashtags relevant to the vaccine conversation. It was found that the hashtags “covid19vaccine” and “coronavirusvaccine” were the two popular hashtags used to discuss the communications related to COVID-19 vaccines. 23,575 global tweets available in public domain were retrieved through “Twitter Application Programming Interface” (API), using “Orange Software”, an open-source machine learning, data visualization and data mining toolkit. The study was confined to the tweets posted in English language only. The default data cleaning and preprocessing techniques available in the “Orange Software” were applied to the dataset, which include “transformation”, “tokenization” and “filtering”. The “Valence Aware Dictionary for sEntiment Reasoning” (VADER) tool was used for classification of tweets to determine the tweet sentiments (positive, neutral and negative) as well as the degree of sentiments (compound score also known as sentiment score). To assess the influence/impact of tweets account wise (verified and unverified) and sentiment wise (positive, neutral, and negative), the retweets and likes, which offer a sort of reward or acknowledgment of tweets, were used.FindingsA gradual decline in the number of tweets over the time is observed. Majority (11,205; 47.52%) of tweets express positive sentiments, followed by neutral (7,948; 33.71%) and negative sentiments (4,422; 18.75%), respectively. The study also signifies a substantial difference between the impact of tweets tweeted by verified and unverified users. The tweets related to verified users have a higher impact both in terms of retweets (65.91%) and likes (84.62%) compared to the tweets tweeted by unverified users. Tweets expressing positive sentiments have the highest impact both in terms of likes (mean = 10.48) and retweets (mean = 3.07) compared to those that express neutral or negative sentiments.Research limitations/implicationsThe main limitation of the study is that the sentiments of the people expressed over one single social platform, that is, Twitter have been studied which cannot generalize the global public perceptions. There can be a variation in the results when the datasets from other social media platforms will be studied.Practical implicationsThe study will help to know the people's sentiments and beliefs toward the COVID-19 vaccines. Sentiments that people hold about the COVID-19 vaccines are studied, which will help health policymakers understand the polarity (positive, negative, and neutral) of the tweets and thus see the public reaction and reflect the types of information people are exposed to about vaccines. The study can aid the health sectors to intensify positive messages and eliminate negative messages for an enhanced vaccination uptake. The research can also help design more operative vaccine-advocating communication by customizing messages using the obtained knowledge from the sentiments and opinions about the vaccines.Originality/valueThe paper focuses on an essential aspect of COVID-19 vaccines and how people express themselves (positively, neutrally and negatively) on Twitter.

scholarly journals THE ROLE OF INSTAGRAM AS AN INFORMATION DELIVERANCE TO THE CITIZEN BY THE PUBLIC RELATIONS OF SALATIGA CITY GOVERNMENT

2019 ◽  
Vol 2 (2) ◽  
pp. 111
Author(s):  
Silvia Widya Kusumaningtyas ◽  
Zon Vanel
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Active Role ◽  
City Government ◽  
Online Information ◽  
The Public ◽  
Information Media ◽  
Government Public Relations ◽  
The Government

<span lang="IN">Social media is one type of new media that facilitates the process of communication among human. Social media makes it easy for users to communicate and share information in a wider range. At present, not only people use Instagram, but the government also needs to keep up with the time to participate in using Instagram as an online information media. Public Relations of the Salatiga Government is one of the public relations departments that uses Instagram as an online information media to provide information needed by the community.<br /> This research aimed to find out how the content of the information was<span>  </span>and how the role of instagram was as an information deliverance to the citizen by the public relations of Salatiga. Through qualitative methods research, data is collected by means of interviews and observations. The results showed that the Salatiga <span> </span>Government Public Relations Instagram account had a role to increase brand awareness, connect many people and as a source of information/ business promotion.Public Relations of the Salatiga Government considers that Instagram plays an active role in conveying information to the public. This is seen from the many positive responses received by the Salatiga City Government Public Relations during managing Instagram as a modern information deliverance.<span>     </span></span>

Who is Setting Emotions? A Comparative Study on Emotion Diffusion in Social Media among Public, Government and Media during the COVID-19 Pandemic in China (Preprint)

2021 ◽  
Author(s):  
Shuhuan Zhou ◽  
Yi Wang
Keyword(s):  
Social Media ◽  
Information Exchange ◽  
Positive Emotions ◽  
Negative Emotions ◽  
Chinese Government ◽  
The Public ◽  
The Media ◽  
The Government ◽  
The Impact ◽  
Time Point

BACKGROUND During the COVID-19 outbreak, social media served as the main platform for information exchange, through which the Chinese government, media and public would spread information. At the same time, a variety of emotions interweave, and the public emotions would also be affected by the government and media. OBJECTIVE This study aims to investigate the types, trends and relationships of emotional diffusion in Chinese social media among the public, the government and the media under the pandemic of COVID-19 (December 30,2019, to July 1,2020) . METHODS In this paper, Python 3.7.0 and its data crawling framework Scrapy 1.5.1 are used to write a web crawler program to search for super topics related to COVID-19 on Sina Weibo platform of different keywords . Then, we used emotional lexicon to analyze the types and trends of the public, government and media emotions on social media. Finally cross-lagged regression was applied to build the relationships of different subjects’ emotions. RESULTS The highlights of our study are threefold: (1) The public, the government and the media mainly diffuse positive emotions during the COVID-19 pandemic in China; (2) Emotional diffusion shows a certain change over time, and negative emotions are obvious in the initial phase of the pandemic, with the development of the pandemic, positive emotions surpass negative emotions and remain stable. (3)The impact among the three main emotions with the period as the time point is weak, while the impact of emotion with the day as the time point is relatively obvious. The emotions of the public and the government impact each other, and the media emotions can guide the public emotions. CONCLUSIONS This is the first study of comparing pubic, government and media emotions on the social media during COVID-19 pandemic in China. The pubic, the government and the media mainly diffuse positive emotions during the pandemic. And the government and the media have better effect on short-term emotional guidance. Therefore, when the pandemic suddenly occurs, the government and the media should intervene in time to solve problems and conflicts and diffuse positive and neutral emotions. In this regard, the government and the media can play important roles through social media in the major outbreaks. At the theoretical level, this paper takes China's epidemic environment and social media as the background to provide one of the explanatory perspectives for the spread of emotions on social media. At the some time, because of this special background, it can provide comparison and reference for the research on internet emotions in other countries.

FANTASI KELOMPOK PENDUKUNG PRABOWO DI MEDIA SOSIAL PADA DEBAT PEMILIHAN PRESIDEN INDONESIA 2019

2019 ◽  
Vol 1 (1) ◽  
pp. 47-58
Author(s):  
Laskarko Patria
Keyword(s):  
Social Media ◽  
Support Group ◽  
Analysis Method ◽  
Economic Independence ◽  
Fantasy Theme Analysis ◽  
The Public ◽  
National Economic ◽  
The Government ◽  
Public Audience ◽  
Fantasy Themes

This research uses the theory of Symbolic Convergence, with the Subjective-Interpretive paradigm, with the Qualitative approach, and the Fantasy Theme Analysis method. The object of this research is the public audience/netizens who use Youtube-TVONE social media, during the broadcast of the 2019 Presidential Election Debate (Pilpres). Methods of data collection, using Observation and Documentation techniques. Netizens’ comments on Youtube social media at the time of the Debate show, are data that are the object of research. The research data is in the form of comments from netizens who are considered relevant are support presidential candidate Prabowo Subianto. The purpose of this study is to identify and interpret fantasy themes that appear in comments on Youtube. The results showed that fantasy themes that often appear in netizen’s comments are Leadership and Character. The meaning of the imagination of Prabowo’s support group is that the public wants Prabowo to be president, because he has a good character, honest, courageous, assertive, and has a leadership spirit, so he can regulate and discipline state ofcials and realize national economic independence. Prabowo’s support group was convinced that the president had to be replaced, because he did not have a leadership spirit, and the government was now considered less effective, and not pro-people. 

Implementation of Social Media Concepts for E-Government

2019 ◽  
pp. 1071-1091
Author(s):  
Raimundo Díaz-Díaz ◽  
Daniel Pérez-González
Keyword(s):  
Social Media ◽  
Citizen Participation ◽  
Smart Cities ◽  
City Council ◽  
Political Agenda ◽  
The Public ◽  
Partnership Model ◽  
The Government ◽  
Technological Platform

Some governments have proven social media's potential to generate value through co-creation and citizen participation, and municipalities are increasingly using these tools in order to become smart cities. Nevertheless, few public administrations have taken full advantage of all the possibilities offered by social media and, as a consequence, there is a shortage of case studies published on this topic. By analyzing the case study of the platform Santander City Brain, managed by the City Council of Santander (Spain), the current work contributes to broaden the knowledge on ambitious social media projects implemented by local public administrations for e-Government; therefore, this case can be useful for other public sector's initiatives. The case studied herein proves that virtual social media are effective tools for civil society, as it is able to set the political agenda and influence the framing of political discourse; however, they should not be considered as the main channel for citizen participation. Among the results obtained, the authors have found that several elements are required: the determination and involvement of the government, a designated community manager to follow up with the community of users, the secured privacy of its users, and a technological platform that is easy to use. Additionally, the Public Private Partnership model provides several advantages to the project, such as opening new sources of funding.

Sentiment Analysis in Crisis Situations for Better Connected Government

2021 ◽  
pp. 162-181
Author(s):  
Asdrúbal López Chau ◽  
David Valle-Cruz ◽  
Rodrigo Sandoval-Almazán
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Citizen Participation ◽  
Important Means ◽  
The Government ◽  
Made In ◽  
Crisis Situations

One of the pillars of connected government is citizen centricity: an approach in which citizen participation is essential. In Mexico, social networks are currently one of the most important means by which citizens express their needs and provide opinions to the government. The goal of this chapter is to contribute to citizen centricity by adapting the methodology of sentiment analysis of social media posts to an expanded version for crisis situations. The main difference in this approach from the normally accepted one is that instead of using pre-defined classes (positive and negative) for sentiments, the authors first determined the different data categories and then applied them to the classic process of sentiment analysis. This approach was tested using posts on Mexico's earthquake in 2017. They found that needs, demands, and claims made in the posts reflect sentiments in a better way, and this can help to improve the government-citizen connection.

Chinese Citizenry Social Media Pressures and Public Official Responses

2020 ◽  
pp. 139-181
Author(s):  
James Robert Masterson
Keyword(s):  
Social Media ◽  
Public Domain ◽  
Chinese Government ◽  
Public Official ◽  
Government Officials ◽  
The Public ◽  
Access Information ◽  
The Government ◽  
Use Of Social Media ◽  
High Level

Widespread use of social media in China is a double edged sword: social media offers opportunities for the government to connect with society, gauge the opinion of citizens in the public domain, and allow citizens to voice their anger when necessary by blowing off steam online rather than in the streets. However, social media also allows citizens to access information outside of China much more rapidly and efficiently and to link up and communicate with other citizens much more quickly. Social media allows users to share texts, photos, and files, making it much more difficult for the government to control information and to thwart organizing for political purposes. In some instances, the use of social media has forced the Chinese government to take actions that it otherwise would not have done or to reverse actions or policies already set in place. The goal of this chapter is to illustrate the double-edged sword that social media poses to government officials in China, particularly high-level party officials in Beijing.

scholarly journals Human Sentiment and Activity Recognition in Disaster Situations Using Social Media Images Based on Deep Learning

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7115
Author(s):  
Amin Muhammad Sadiq ◽  
Huynsik Ahn ◽  
Young Bok Choi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Large Scale ◽  
Activity Analysis ◽  
Physical Activities ◽  
Future Research ◽  
Crowd Sourcing ◽  
Emergency Relief ◽  
The Public ◽  
Text Streams

A rapidly increasing growth of social networks and the propensity of users to communicate their physical activities, thoughts, expressions, and viewpoints in text, visual, and audio material have opened up new possibilities and opportunities in sentiment and activity analysis. Although sentiment and activity analysis of text streams has been extensively studied in the literature, it is relatively recent yet challenging to evaluate sentiment and physical activities together from visuals such as photographs and videos. This paper emphasizes human sentiment in a socially crucial field, namely social media disaster/catastrophe analysis, with associated physical activity analysis. We suggest multi-tagging sentiment and associated activity analyzer fused with a a deep human count tracker, a pragmatic technique for multiple object tracking, and count in occluded circumstances with a reduced number of identity switches in disaster-related videos and images. A crowd-sourcing study has been conducted to analyze and annotate human activity and sentiments towards natural disasters and related images in social networks. The crowdsourcing study outcome into a large-scale benchmark dataset with three annotations sets each resolves distinct tasks. The presented analysis and dataset will anchor a baseline for future research in the domain. We believe that the proposed system will contribute to more viable communities by benefiting different stakeholders, such as news broadcasters, emergency relief organizations, and the public in general.

Fear and loathing in the community: sexual offenders and desistance in a climate of risk and ‘extreme othering’

2016 ◽  
Author(s):  
Jacky Burrows
Keyword(s):  
Social Networks ◽  
Sex Offenders ◽  
Sexual Offenders ◽  
Sex Offender ◽  
The Public ◽  
Large Numbers ◽  
Master Status ◽  
The Media ◽  
The Government ◽  
Mainstream Society

This chapter focuses attention on sex offenders who, perhaps more than any other 'type' of offender, have been systematically vilified, demonised, and ostracised from mainstream society. The author argues that, for once, the public, the media, the government, and – worryingly – large numbers of professionals seem to be in agreement that such 'othering' is entirely right and proper in what are seen to be the larger interests of public protection. The author explores the implications of this deeply entrenched culture for ‘would-be desisters’ and suggests ways forward that offer individuals opportunities to uncouple from the ‘master status’ of sex offender and to build positive social networks.

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