• Title, Summary, Keyword: Twitter

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Twitter Crawling System

  • Ganiev, Saydiolim;Nasridinov, Aziz;Byun, Jeong-Yong
    • Journal of Multimedia Information System
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    • v.2 no.3
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    • pp.287-294
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    • 2015
  • We are living in epoch of information when Internet touches all aspects of our lives. Therefore, it provides a plenty of services each of which benefits people in different ways. Electronic Mail (E-mail), File Transfer Protocol (FTP), Voice/Video Communication, Search Engines are bright examples of Internet services. Between them Social Network Services (SNS) continuously gain its popularity over the past years. Most popular SNSs like Facebook, Weibo and Twitter generate millions of data every minute. Twitter is one of SNS which allows its users post short instant messages. They, 100 million, posted 340 million tweets per day (2012)[1]. Often big amount of data contains lots of noisy data which can be defined as uninteresting and unclassifiable data. However, researchers can take advantage of such huge information in order to analyze and extract meaningful and interesting features. The way to collect SNS data as well as tweets is handled by crawlers. Twitter crawler has recently emerged as a great tool to crawl Twitter data as well as tweets. In this project, we develop Twitter Crawler system which enables us to extract Twitter data. We implemented our system in Java language along with MySQL. We use Twitter4J which is a java library for communicating with Twitter API. The application, first, connects to Twitter API, then retrieves tweets, and stores them into database. We also develop crawling strategies to efficiently extract tweets in terms of time and amount.

Analysis of the Questioning Pattern of Students in Mobile Learning: with focus on Twitter Application (모바일러닝에서 학생들의 질문패턴 분석: 트위터활용 중심)

  • Ha, Il-Kyu;Ha, Sung-Yong;Kim, Chong-Gun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1224-1230
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    • 2014
  • Because Twitter provides an easy way to reweet and reply to other user's tweets, it is used to delivery our opinion to others and get useful information from followers as a useful tool. Recently, there have been many attempts to use Twitter in many application area. Especially, Twitter has been tried to use in education area. Twitter service can be used in educational environments as a communication tool between professor and students and among students without restriction on space and time. Twitter service has good possibility of applying, but there have not been many studies that prove the effectiveness and possibility of the tool as a useful educational tool through experimental studies. In this study, Twitter is used as a tool of the question-and- answer session of the university students during a semester. And the activities are investigated and analyzed. As the results of the analysis, if we do not force the use of Twitter, Twitter utilization of students is low. Thus, we show that Twitter has the potential for educational utilizing, but the aggressive efforts between professor and students are needed to show such effects.

The Effects of Task Value, Twitter Self-efficacy, and Social Presence on Learning Satisfaction on Twitter Discussion (트위터(Twitter)를 활용한 토론학습에서 과제가치, 트위터효능감과 사회적 실재감이 학습만족도에 미치는 영향)

  • Lee, Jeong-Min;Yoon, Na-Ra
    • Journal of The Korean Association of Information Education
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    • v.16 no.1
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    • pp.51-60
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    • 2012
  • The purpose of this study was to investigate how task value, twitter self-efficacy, and social presence affect learning satisfaction on twitter discussion. In addition, this study examined the mediating effects of social presence. Participants were 46 undergraduate students in A university in Seoul, Korea. They responded the following surveys: task value, twitter self-efficacy, social presence, and learning satisfaction. Baron & Kenny (1986)'s mediation analysis approach with correlation and multiple regression analyses were applied to this study. Findings showed the significant effects of task value, twitter self-efficacy, and social presence on satisfaction on twitter discussion. In addition, social presence mediated task value, twitter self-efficacy, and satisfaction. These results suggest that the twitter discussion should be designed to accommodate different learners characteristics such as task value and twitter self-efficacy and promote greater social presence between learners.

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Who are Dominant Communicators on Twitter? A Study of Korean Twitter Users

  • Cho, Seong Eun;Park, Han Woo
    • International Journal of Contents
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    • v.9 no.1
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    • pp.49-59
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    • 2013
  • This study explores how Twitter users perceive their socio-communication attitudes as well as those who users follow. From the theoretical perspective of communication styles in interpersonal communication, this study focuses on the positions and roles of users and their partners in Twitter conversations by conducting a survey and a content analysis. The results demonstrate that the respondents tended to perceive their communication attitudes to be more passive on Twitter than in the real world. In addition, they tended to perceive that their most trusted followees were more likely to show dominant communication attitudes than they did. These results indicate that ordinary users are more likely to play a role as listeners than as speakers on Twitter while entrusting several trusted users with the role of a dominant communicator and that their perception of their own and their followees' communication styles tends to influence their actual behavior on Twitter.

Strength Map of Presidential Candidates 2019 in Indonesia Based on a NodeXL Analysis of Big Data from Twitter

  • Suratnoaji, Catur;Arianto, Irwan Dwi;Sumardjijati, Sumardjijati
    • Asian Journal for Public Opinion Research
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    • v.6 no.1
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    • pp.31-38
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    • 2018
  • Leading up to the 2019 presidential election in Indonesia, campaigns have emerged through social media, particularly Twitter, using various hashtags, such as #2019GantiPresiden (2019 Change President) and #TetapJokowi (Always Jokowi). This paper tries to understand the presidential candidates' power map in forming opinions and influencing voter behavior by analyzing Twitter from August 6, 2018 to September 15, 2018, just before the beginning of the official campaign period, by searching for the keyword "pemilihan presiden RI Tahun 2019" (RI presidential election in 2019). According to our NodeXL's analysis, there were 1,650 active Twitter users talking about the 2019 presidential election. The 1,650 Twitter users have formed a communication network of 46,750 relationships formed from messages in the form of tweets, comments, and retweets. Our analysis found that those mentioning "pilihan presiden 2019" form large communication networks around four clusters: one for each of the two candidates (Jokowi and Prabowo) and two for opinion leaders who are undecided about the election (Gus Mus and Mas Piyu). GusMus is a religious leader, as an official of the PBNU Rais Syuriah (an Islamic organization) and has a large following both on and off Twitter. "MasPiyu" is an unidentified Twitter user; he only has a large following on Twitter, but does not have support offline.

Case Study of SNS (Social Networks Service) Application on Fashion Corporate - Focused on Twitter - (패션기업의 SNS (Social Network Service) 활용 현황에 대한 사례연구 - Twitter를 중심으로 -)

  • Sun, Se-Young;Lee, Joo-Hyun;Jung, Ye-Jin;Lee, Seung-Hee
    • Journal of Fashion Business
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    • v.15 no.1
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    • pp.158-170
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    • 2011
  • The purpose of this study was to examine how recently fashion corporate did use SNS applications for their product promotion strategies as case studies, and to provide what kinds of SNS marketing strategies would be developed for fashion corporate. Specifically, this study was focused on Twitter among SNS applications. For this study, Internet webs, news paper, articles, and other press work were used for resources. Five fashion corporate such as Buckaroo, MLB, North Faces, Kolon, and ABC Mart were analyzed. As the results, first, fashion corporate used Twitter as the marketing tool for their product promotion. Second, they tried to make an increase the numbers of Twitter follower from their customers. Third, Twitter was used for making higher customer loyalty by fashion corporate through a variety of program such as special events, game, music, or viral marketing. However, there were still some limitations on fashion corporate's Twitter usage, compared to other non-fashion corporate. Thus, fashion corporate needs to provide more creative and unique Twitter marketing strategies. Therefore, based on these results, fashion brand merchandising marketing strategies of fashion products would be provided from this study.

A Study on the Effective Utilization of Social Media in Organizations : A Focus on Twitter (기업의 소셜미디어 활용방안에 대한 연구 : 트위터를 중심으로)

  • Lee, Jae-Nam;Byun, Eu-Jean;Han, Jae-Min
    • Journal of Information Technology Services
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    • v.10 no.4
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    • pp.149-169
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    • 2011
  • As the number of smart phone users increases, many organizations begin to adopt social media rapidly to diversify communication channels with customers. Specifically, twitter, which supports instant and two-way communications between users and between organizations and users, has been adopted by many organizations as an efficient way not only to identify new customers but also to retain existing customers. However, little attention has been given to the issue on how organizations can effectively use twitter to improve customer satisfaction. To explore the issue, this study proposes two major dimensions, customer participation and organization resource utilization, which should be considered in building a utilization strategy for twitter in organizations. We then develop four different combinations along with these dimensions-follow, mention, retweet, and review types. Based on case studies of 27 organizations that use twitter, we evaluate the degrees of customer participation, resource utilization, and customer satisfaction, and examine matching or mismatching of the adoption purpose of twitter and its actual utilization. The study results reveal that organizations in the matching group show higher customer satisfaction that those in the mismatching group. This study sheds new light on twitter research by developing a new conceptual framework and using a case study approach to explore the relationship between the utilization strategy of twitter and customer satisfaction.

Topical Clustering Techniques of Twitter Documents Using Korean Wikipedia (한글 위키피디아를 이용한 트위터 문서의 주제별 클러스터링 기법)

  • Chang, Jae-Young
    • The Journal of The Institute of Internet, Broadcasting and Communication
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    • v.14 no.5
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    • pp.189-196
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    • 2014
  • Recently, the need for retrieving documents is growing in SNS environment such as twitter. For supporting the twitter search, a clustering technique classifying the massively retrieved documents in terms of topics is required. However, due to the nature of twitter, there is a limit in applying previous simple techniques to clustering the twitter documents. To overcome such problem, we propose in this paper a new clustering technique suitable to twitter environment. In proposed method, we augment new terms to feature vectors representing the twitter documents, and recalculate the weights of features using Korean Wikipedia. In addition, we performed the experiments with Korean twitter documents, and proved the usability of proposed method through performance comparison with the previous techniques.

Analysis on Issue Attributions between Twitter and Newspapers (트위터와 신문의 이슈 속성 비교 연구: MBC 파업을 중심으로)

  • Lee, Mina;Park, Chun Il;Moon, Jee Young
    • Journal of Internet Computing and Services
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    • v.15 no.4
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    • pp.43-55
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    • 2014
  • This study investigated how social issues are interpreted and presented in Twitter in comparison to newspapers, considering Twitter functions as the media for information transmission and public opinion formation. this study used one of Twitter's media agenda, MBC strike, and analyzed how Twitter and newspaper deal with the issue of the MBC strike differently. The content analysis was performed to examine the differences. The categories for the content analysis include; message format, information sources, perspectives to be expressed, the frame of human interests, and the frame of cause-assigning. The results found out significant differences between Twitter and newspapers, which are related to essential differences between Twitter and newspaper as communication media.

Altmetrics: Factor Analysis for Assessing the Popularity of Research Articles on Twitter

  • Pandian, Nandhini Devi Soundara;Na, Jin-Cheon;Veeramachaneni, Bhargavi;Boothaladinni, Rashmi Vishwanath
    • Journal of Information Science Theory and Practice
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    • v.7 no.4
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    • pp.33-44
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    • 2019
  • Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.