• 제목/요약/키워드: Twitter

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Twitter Crawling System

  • Ganiev, Saydiolim;Nasridinov, Aziz;Byun, Jeong-Yong
    • Journal of Multimedia Information System
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    • 제2권3호
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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.

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

  • 이정민;윤나라
    • 정보교육학회논문지
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    • 제16권1호
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    • pp.51-60
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    • 2012
  • 본 연구는 트위터를 활용한 토론학습에서 고려해야 할 지침을 얻고자, 과제가치, 트위터효능감, 사회적 실재감이 학습만족도에 미치는 영향과 사회적 실재감의 매개효과를 분석하였다. 이를 위해 2010학년도 2학기에 서울에 소재한 A대학교에 한 강좌를 수강한 학습자 46명을 대상으로 약 3주 동안 트위터에서 토론수업을 진행하여, 과제가치, 트위터효능감, 사회적 실재감, 토론학습만족도 자료를 수집하였다. 자료분석 방법으로는 상관분석, 회귀분석과 매개분석을 실시하였다. 그 결과, 과제가치, 트위터효능감, 사회적 실재감은 학습만족도에 유의미한 영향을 미치는 요인으로 확인되었으며, 사회적 실재감은 과제가치와 트위터효능감이 학습만족도를 예측하는 데 있어 매개역할을 하는 것으로 나타났다. 이와 같은 결과는 트위터를 활용한 토론학습에서 학습만족도를 높이기 위해서는 과제가치와 트위터효능감 향상을 위한 학습과정 설계 전략이 필요하며, 이와 더불어 사회적 실재감을 촉진시켜줄 수 있는 학습환경 설계가 필요함을 시사한다. 또한, 트위터 학습 관련 연구는 아직 초기단계로, 향후 트위터를 활용한 학습환경에서 만족도나 성취도 등의 학습성과를 높이는 변인을 규명하는 연구가 지속적으로 수행되어야겠다.

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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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    • 제9권1호
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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.

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

  • 선세영;이주현;정예진;이승희
    • 패션비즈니스
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    • 제15권1호
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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.

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

  • 이재남;변유진;한재민
    • 한국IT서비스학회지
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    • 제10권4호
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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.

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

  • 장재영
    • 한국인터넷방송통신학회논문지
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    • 제14권5호
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    • pp.189-196
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    • 2014
  • 최근 들어 트위터와 같은 SNS 환경에서 검색의 필요성이 증가하고 있다. 트위터 검색을 지원하기 위해서는 다량으로 검색된 문서를 주제별로 분류하는 클러스터링 기법이 필요하다. 하지만 트위터의 특성상 단순한 클러스터링 기술을 그대로 적용하기에는 많은 제약이 따른다. 본 논문에서는 이를 극복하기 위해 트위터 환경에 적합한 클러스터링 기법을 제안한다. 제안된 기법에서는 한글 위키피디아를 이용하여 각 트위터 문서에 대한 특징 벡터를 보강하고 각 특징들의 가중치를 재계산하는 방법을 이용하였다. 또한 한글 트위터 문서를 대상으로 실험을 실시하고 기존 기법과의 성능 비교를 통해서 제안된 기법의 유용성을 증명하였다.

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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    • 제7권4호
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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.

Analysis and Implications of Twitter Data during the 2012 Election

  • 윤홍원
    • 한국산업정보학회논문지
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    • 제19권6호
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    • pp.7-13
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    • 2014
  • Twitter is a microblogging service that allows users to post short messages on a variety of topics in real-time. In this work, we analyze Twitter messages posted during the 2012 elections and find those implications. This study uses Twitter messages related to the 2012 South Korean presidential campaign. The three main candidates are represented by the abbreviations A, M, and P. According to the statistical analysis, the number of tweets and re-tweets for candidate P was relatively stable over the entire campaign period. Candidate P had the highest percentage of terms related to elections pledges, and candidates A and M were judged to be a little bit poorer with respect to campaign promises. The positive terms ratio for candidate P was higher than those for the other two candidates. The negative terms ratio in the Twitter messages of P was considerably smaller than those of candidates A and M. After considering all these results, it is suggested cautiously that Twitter messages posted during an election campaign could be correlated with the outcome of the election.

Crossing the "Great Fire Wall": A Study with Grounded Theory Examining How China Uses Twitter as a New Battlefield for Public Diplomacy

  • Guo, Jing
    • Journal of Public Diplomacy
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    • 제1권2호
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    • pp.49-74
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    • 2021
  • In this paper, I applied grounded theory in exploring how Twitter became the battlefield for China's public diplomacy campaign. China's new move to global social media platforms, such as Twitter and Facebook, has been a controversial strategy in public diplomacy. This study analyzes Chinese Foreign Spokesperson Zhao Lijian's Twitter posts and comments. It models China's recent diplomatic move to Twitter as a "war of words" model, with features including "leadership," "polarization," and "aggression," while exerting possible effects as "resistance," "hatred," and "sarcasm" to the global community. Our findings show that by failing to gage public opinion and promote the country's positive image, China's current digital diplomacy strategy reflected by Zhao Lijian's tweets has instead constructed a polarized political public sphere, contradictory to the country's promoted "shared human destiny." The "war of words" model extends our understanding of China's new digital diplomacy move as a hybrid of state propaganda and self-performance. Such a strategy could spread hate speech and accelerate political polarization in cyberspace, despite improvements to China's homogenous network building on Twitter.

Students' Experience in Using Twitter for Online Learning: Social-Affective and Cognitive Perspectives

  • CHOI, Hyungshin;KWON, Soungyoun
    • Educational Technology International
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    • 제13권1호
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    • pp.175-205
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    • 2012
  • The current study investigated whether SNS such as Twitter can be an assisting tool to compensate the limitations of online learning from social-affective and cognitive perspectives. Such limitations include low level of motivation to participate, feeling of isolation, rare exchanges of ideas and feedback from peers or instructors. This paper reports findings from a research study on the use of Twitter in online learning in Higher Education. Survey and subsequent interviews were conducted to examine students' perceptions about the cognitive and social-affective aspects of their participation in Twitter activities. Some of the challenges and potentials in integrating Twitter into online course are also addressed. It can be concluded that Twitter contributes not only to building close relationships among peers and instructors but also to opening a communication channel that can extend cognitive potentials.