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>

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.

Enhancing User Engagement with Elected Officials

2014 ◽  
Vol 5 (3) ◽  
pp. 1-21
Author(s):  
Marc Fudge
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Web Sites ◽  
Local Governments ◽  
Elected Officials ◽  
User Engagement ◽  
The Public ◽  
Network Applications ◽  
Government Web Sites ◽  
The Government

Keenly aware of the growing number of people using social networks to communicate, governments have begun to provide this popular form of communication on their own web sites in an effort to promote engagement among residents and public administrators. Yet despite the growing popularity of social networks on government web sites, it is unclear whether municipalities have begun providing links to social network sites on their homepage that allow users to discuss salient issues directly with elected officials. Furthermore, for cities that do offer this heightened level of engagement, it is unclear if an implementation strategy was followed. This exploratory study examines the factors impacting U.S. local governments to provide social network applications that allow users to communicate directly with elected officials on the government website. The study then explores the benefits and challenges elected officials face when determining the extent of their public communication efforts. Finally, a social network application strategy is developed to assist elected officials when deciding whether or not to use social networks to communicate with the public.

scholarly journals Tracing Public Opinion Propagation and Emotional Evolution Based on Public Emergencies in Social Networks

2018 ◽  
Vol 13 (1) ◽  
pp. 129 ◽  
Author(s):  
Huang Wei-dong ◽  
Wang Qian ◽  
Cao Jie
Keyword(s):  
Social Networks ◽  
Public Opinion ◽  
Social Network ◽  
Analysis Method ◽  
Evolution Mechanism ◽  
Healthy Development ◽  
The Public ◽  
Internet Users ◽  
The Subject ◽  
The Government

Social network has become the main communication platform for public emergencies, and it has also made the public opinion influence spread more widely. How to effectively obtain public opinions from it to guide the healthy development of the society is an important issue that the government and other functional departments are concerned about. However, the interaction and evolution mechanism between the subject and the environment in the public opinion propagation is complicated, and the public and media attention and reaction to the incident are closely linked with the progress of the incident disposal. And public mining corpus has some shortcomings in the distribution of emotional classification. Only the timely update of artificial rules and emotional dictionary resources, it can handle new text data well. In fact, from the perspective of public opinion propagation, this paper built the network matrix between Internet users through the forwarding relationship, and used the social network analysis method and the emotion mining analysis technology to study the interaction and evolution mechanism between the subject and the environment in the public opinion propagation, and it studied the role of users in the emotional propagation of social networks. This paper proposed a sentiment analysis method on the micro-blog platform, which expanded the emotional dictionary and took sentence and emoticon and sentence patterns into account, which improved the accuracy of positive and negative classifications and emotional polarity analysis of the micro-blog.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

2020 ◽  
pp. 1-5
Author(s):  
Meghan Lynch ◽  
Irena Knezevic ◽  
Kennedy Laborde Ryan
Keyword(s):  
Social Media ◽  
Low Cost ◽  
Online News ◽  
News Article ◽  
Discussion Forums ◽  
Research And Practice ◽  
The Public ◽  
Related Data ◽  
Social Media Platforms ◽  
Article Comment

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.

Pembangunan Web Service Data Masyarakat Menggunakan REST API dengan Access Token

2018 ◽  
Vol 10 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Muhammad Iqbal Perkasa ◽  
Eko Budi Setiawan
Keyword(s):  
Web Service ◽  
Job Search ◽  
Population Data ◽  
The Public ◽  
Public Data ◽  
Community Data ◽  
The Government ◽  
Rest Api ◽  
Service Application ◽  
Service Data

Data is one of the most important things in this information and information technology era that evolving now. Currently, the government still has not used the public data maximally for administrative purposes. Utilization of this big population data is the creation of a web service application system with REST API where this data will be open and accessible to those who have access. One of the institutions that use this service is the Manpower and Transmigration Service where this system can make the Dinas staff more efficient to create and register job search cards using available community data. This application is able to provide and facilitate many parties, such as data administrators to monitor data usage, registration employee in input data, and people able to register independently. Index Terms—Web service, API, Rest api, People data

scholarly journals Esham, the Origin of Sukuk for Facing the Crisis: Historical Experience

2021 ◽  
Vol 10 (1) ◽  
pp. 45
Author(s):  
Khairunnisa Musari
Keyword(s):  
Lower Cost ◽  
Low Cost ◽  
Foreign Debt ◽  
Historical Experience ◽  
The Public ◽  
Goods And Services ◽  
The Past ◽  
State Budgets ◽  
The Difference ◽  
The Government

Pandemic brings a crisis. This makes world leaders have to work hard and smartly in managing state budgets. During the heyday of Islam, Muslims also faced crises. Given that time the power of Islam mastered many areas of the world, it can be assumed that the crisis that occurred in the past was a global crisis as it is happening today. The difference is the crisis that occurred at the time because of losing the war. This paper tries to describe the historical experience of the esham, one of the fiscal instruments in the Islamic world that helped the Ottoman Empire overcome the crisis. Esham has mobilized low-cost funds from the public in a relatively concise time. Esham served as a better choice than looking for foreign debt. As the origin of sukuk, esham has simpler structure so that can be used as an alternative to sukuk with a lower cost. To deal with a crisis, esham may intervene in the economy. Esham funds to the real sector in turn will help the government drive the economy as well as control prices in the market for goods and services. Therefore, esham has the potential in facing the crisis.

scholarly journals I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13971-13972
Author(s):  
Yang Qi ◽  
Farseev Aleksandr ◽  
Filchenkov Andrey
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Model Performance ◽  
User Profiling ◽  
Personalized Recommendation ◽  
Modal Data ◽  
Social Media Networks ◽  
The Impact

Nowadays, social networks play a crucial role in human everyday life and no longer purely associated with spare time spending. In fact, instant communication with friends and colleagues has become an essential component of our daily interaction giving a raise of multiple new social network types emergence. By participating in such networks, individuals generate a multitude of data points that describe their activities from different perspectives and, for example, can be further used for applications such as personalized recommendation or user profiling. However, the impact of the different social media networks on machine learning model performance has not been studied comprehensively yet. Particularly, the literature on modeling multi-modal data from multiple social networks is relatively sparse, which had inspired us to take a deeper dive into the topic in this preliminary study. Specifically, in this work, we will study the performance of different machine learning models when being learned on multi-modal data from different social networks. Our initial experimental results reveal that social network choice impacts the performance and the proper selection of data source is crucial.

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>

scholarly journals RE-ENGINEERING OF SMART CITY'S BUSINESS PROCESSES BASED ON SOCIAL NETWORKS AND INTERNET OF THINGS

2018 ◽  
Vol 16 (3) ◽  
pp. 275
Author(s):  
Emir Ugljanin ◽  
Dragan Stojanović ◽  
Ejub Kajan ◽  
Zakaria Maamar
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Internet Of Things ◽  
Smart City ◽  
Business Processes ◽  
Smart Cities ◽  
Successful Management ◽  
Complete Integration ◽  
Social Actions

This paper reports our experience with developing a Business-2-Social (B2S) platform that provides necessary support to all this platform’s constituents, namely business processes, social media (e.g., social network), and Internet of Things (IoT). This platform is exemplified with smart cities whose successful management requires a complete integration of IoT and social media capabilities into the business processes implementing user services. To ensure a successful integration, social actions, that a smart city would allow citizens execute, are analyzed in terms of impact of these smart city’s business processes. Reactions to these actions are tracked and then analyzed to improve user services.

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