scholarly journals Disease surveillance in Indonesia through Twitter posts

2020 ◽  
Vol 18 (3) ◽  
Author(s):  
Mirna Adriani ◽  
Fatimah Azzahro ◽  
Achmad Nizar Hidayanto
Keyword(s):  
Social Media ◽  
Disease Surveillance ◽  
Disease Emergence ◽  
Government Officials ◽  
Epidemic Disease ◽  
Social Media Data ◽  
Named Entity ◽  
Using Data ◽  
Short Time ◽  
Media Data

Social media data has become popular resources for various research topic such as public health. One of the popular research directions is to use social media data to detect if there is an epidemic disease emerging in a certain area. This paper presents a framework for mapping the emergence of disease in Indonesia using data from Twitter. The framework is built upon several methods which consist of classification using SVM, clustering using K-Means, and a named-entity recognizer to extract location names. Our research successfully identifies tweets indicating disease emergence and generates a relatively accurate map visualization. Thus, we believe that using Twitter may help Indonesia government officials to get an overview of the spread of disease in Indonesia in a relatively short time.

scholarly journals Analysis of the Intensity of Communication and Coordination of Government Officials on Twitter Social Media during the Covid-19 Handling in Indonesia

2021 ◽  
Vol 10 (3) ◽  
pp. 319
Author(s):  
Muslimin Machmud ◽  
Bambang Irawan ◽  
Kisman Karinda ◽  
Joko Susilo ◽  
. Salahudin
Keyword(s):  
Social Media ◽  
Policy Implementation ◽  
Local Governments ◽  
Qualitative Content Analysis ◽  
Analysis Approach ◽  
Online Media ◽  
Government Officials ◽  
Social Media Data ◽  
Communication And Coordination ◽  
Media Data

The aim of this study is to explain government officials’ communication and coordination intensity on twitter social media while handling the Covid-19 pandemic in Indonesia. This research uses a qualitative content analysis approach towards the official Indonesian government official’s account. The result showed a developed communication and intensive coordination between President Jokowi and the team, in attempt to properly accelerate the handling process. Furthermore, this activity was also achieved with a number of governors. The presidency aimed to build the commitment of central and local government officials, and jointly support the policy implementation to properly manage Covid-19. These communication and coordination activities positively impacted on the high attention of local governments to accelerate the handling in a number of regions. However, the study limitations include the use of Twitter social media data, characterized by the inability to reveal performance of government officials. Therefore, subsequent research is expected to adopt a triangulation analysis approach to data on twitter social media, online media, official government reports, and information from trends in Indonesian cases.   Received: 7 August 2020 / Accepted: 11 February 2021 / Published: 10 May 2021

scholarly journals Mining on Social Media Data: To Determine the Personality of Unrevealed Person

2019 ◽  
Vol 8 (4) ◽  
pp. 8574-8577
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Information Mining ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Network Discovery ◽  
The Social ◽  
Mining Methods ◽  
Using Data ◽  
Media Data

The unavoidable utilization of online networking like Facebook is giving exceptional measures of social information. Information mining methods have been broadly used to separate learning from such information. The character of the person is predicted whether he is good or not by using data mining techniques from user self-made data. Mining methods are being broadly using to separate learning from such information, main examples for them are network discovery and slant investigation. Notwithstanding, there is still a lot of room to investigate as far as the occasion information (i.e., occasions with timestamps, for example, posting an inquiry, altering an article in Wikipedia, and remarking on a tweet. These occasions react users' personal conduct standards and working forms in the social media websites.

scholarly journals Systematic Review on the Suspicious Profiles Detection on Online Social Media Data

2017 ◽  
Vol 10 (3) ◽  
pp. 644-652
Author(s):  
Asha Asha ◽  
Dr. Balkishan
Keyword(s):  
Systematic Review ◽  
Data Mining ◽  
Social Media ◽  
Law Enforcement ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Online Social Media ◽  
Using Data ◽  
Media Data ◽  
Mining Tools

Escalating crimes on digital facet alarms the law enforcement bodies to keep a gaze on online activities which involve massive amount of data. This will raise a need to detect suspicious activities on online available social media data by optimizing investigations using data mining tools. This paper intends to throw some light on the data mining techniques which are designed and developed for closely examining social media data for suspicious activities and profiles in different domains. Additionally, this study will categorize the techniques under various groups highlighting their important features, challenges and application realm.

scholarly journals A Multi-task Approach for Named Entity Recognition in Social Media Data

2017 ◽  
Author(s):  
Gustavo Aguilar ◽  
Suraj Maharjan ◽  
Adrian Pastor López Monroy ◽  
Thamar Solorio
Keyword(s):  
Social Media ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Social Media Data ◽  
Named Entity ◽  
Media Data
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