scholarly journals Social Media Analytics: A Case Study of Singapore General Election 2020

2020 ◽  
Author(s):  
Sebastian Zhi Tao Khoo ◽  
Leong Hock Ho ◽  
Ee Hong Lee ◽  
Danston Kheng Boon Goh ◽  
Zehao Zhang ◽  
...  
Keyword(s):  
Social Media ◽  
General Election ◽  
Social Media Analytics

scholarly journals ELECTION INFORMATION CAMPAIGN AND THE PERCEPTION OF CAMPAIGN PROPS IN THE BEGINNER ELECTION

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Harisman Harisman ◽  
Guntur Freddy Prisanto ◽  
Niken Febrina Ernungtyas
Keyword(s):  
Social Media ◽  
Information Seeking ◽  
Information Dissemination ◽  
Information Source ◽  
General Election ◽  
Data Collection Technique ◽  
Search For Information ◽  
First Time ◽  
Massive Information

The 2019 simultaneous general election formed discourse in society with massive information seeking, rapid information dissemination and discussions related to the general election. Before the election starts, every candidate has the opportunity to campaign. The campaign is an opportunity that is always given to pairs of presidential and legislative candidates. This study aims to describe the search for information about elections by first-time voters and their perceptions regarding campaign props. This study uses a qualitative approach using a case study strategy. The data collection technique used in-depth interviews with four first-time voters who live in Depok, West Java. Based on the results of coding and thematic analysis that has been carried out, there are four main themes that have emerged regarding the search for election information among first-time voters. The four main themes are political engagement, banners as campaign props, social media and information seeking. This study concludes that early voters use social media and campaign props as information source for the election decision.

scholarly journals Information Seeking Behaviour of Senior High School Student on General Election in Indonesia

2015 ◽  
Vol 1 (2) ◽  
pp. 150
Author(s):  
Margareta Aulia Rahman
Keyword(s):  
High School ◽  
Qualitative Research ◽  
Social Media ◽  
Political Parties ◽  
Information Seeking ◽  
Senior High School ◽  
General Election ◽  
Promotion Strategy ◽  
Election Commission

The development of information technology affects students in searching and finding information, particularly information regarding the General Election. Theexplosion of information on mass media about the elections resulted impact (both positive and negative) to the potential voters. Nowadays, media plays role as a tool for political parties to lead public opinion to support their parties. Based on the data provided by General Election Commission (KPU) in 2014, 20% of voters were identified as students (teens). This is a qualitative research with case study methodwhich aims to gain insight about interpretation, understanding, perceptions and feelings of teenage voters’ behavior in searching and finding information about general election in Indonesia year 2014. The data were collected by conducting interview and observation. Informants (six persons) in this study were students, aged 17-18 years, who studying in government senior high school in Depok. The results of this study indicates that informants using social media to keep update about general election. Besides, they also gain information from their parents and close friends. Unfortunatelly, they were not able to identify which information which are correct or not, so they rely on people around them to make sure whether they did right decision. Therefore, this study also suggest that KPU needs to develop promotion strategy that suitable for teens about general election.

Deep Learning in Social Media Analysis

2021 ◽  
pp. 164-194
Author(s):  
Vaishali Yogesh Baviskar ◽  
Rachna Yogesh Sable
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Media Analysis ◽  
Network Services ◽  
Social Media Analytics ◽  
Learning Approaches ◽  
Election Result ◽  
The Social ◽  
Social Network Services

Social media analytics keep on collecting the information from different media platforms and then calculating the statistical data. Twitter is one of the social network services which has ample amount of data where many users used post significant amounts of data on a regular basis. Handling such a large amount of data using traditional tools and technologies is very complicated. One of the solutions to this problem is the use of machine learning and deep learning approaches. In this chapter, the authors present a case study showing the use of Twitter data for predicting the election result of the political parties.

Application of social media analytics: a case of analyzing online hotel reviews

2017 ◽  
Vol 41 (7) ◽  
pp. 921-935 ◽  
Author(s):  
Wu He ◽  
Xin Tian ◽  
Ran Tao ◽  
Weidong Zhang ◽  
Gongjun Yan ◽  
...  
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Social Media Analytics ◽  
Social Media Data ◽  
Content Type ◽  
Customer Reviews ◽  
Analysis Techniques ◽  
Online Customer Reviews ◽  
Media Data

Purpose Online customer reviews could shed light into their experience, opinions, feelings, and concerns. To gain valuable knowledge about customers, it becomes increasingly important for businesses to collect, monitor, analyze, summarize, and visualize online customer reviews posted on social media platforms such as online forums. However, analyzing social media data is challenging due to the vast increase of social media data. The purpose of this paper is to present an approach of using natural language preprocessing, text mining and sentiment analysis techniques to analyze online customer reviews related to various hotels through a case study. Design/methodology/approach This paper presents a tested approach of using natural language preprocessing, text mining, and sentiment analysis techniques to analyze online textual content. The value of the proposed approach was demonstrated through a case study using online hotel reviews. Findings The study found that the overall review star rating correlates pretty well with the sentiment scores for both the title and the full content of the online customer review. The case study also revealed that both extremely satisfied and extremely dissatisfied hotel customers share a common interest in the five categories: food, location, rooms, service, and staff. Originality/value This study analyzed the online reviews from English-speaking hotel customers in China to understand their preferred hotel attributes, main concerns or demands. This study also provides a feasible approach and a case study as an example to help enterprises more effectively apply social media analytics in practice.

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