• Title, Summary, Keyword: 리트윗

Search Result 27, Processing Time 0.027 seconds

What Makes Twitterers Retweet on Twitter? Exploring the Roles of Intrinsic/Extrinsic Motivation and Social Capital (왜 트위터러들은 리트윗하는가? 내외적 동기와 사회적 자본의 역할 탐색)

  • Lee, Sungjoon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.15 no.6
    • /
    • pp.3499-3511
    • /
    • 2014
  • This study examined what determinants affect the intention of retweeting on Twitter from the perspectives of motivations and social psychology. The primary theoretical foundations are the theory of reasoned action (TRA), motivation theory and social capital theory. An online survey was administrated to collect the data. The data collected was analyzed using the structural equation model (SEM). The findings showed that both the attitude toward the retweeting behavior and subjective norm have significant effects on the intention to retweet. The results also showed that the attitude toward the retweeting behaviors was influenced by the individual intrinsic motivation and the norm of reciprocity. Social trust also had a significant influence on the intention to retweet. This study discusses the implications of these findings.

SmartRetweet : A Study on Method of the Efficient Propagation of Location-Based News Feed (스마트 리트윗 : 위치기반 관심정보의 효율적인 전파방법에 대한 연구)

  • Jeong, Do-Seong;Cho, Dae-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.16 no.5
    • /
    • pp.960-966
    • /
    • 2012
  • It is prevalent to gather the location information from GPS, WiFi and etc, and therefore LBSNS (Location-Based SNS) has increased rapidly (such as location-augmented Twitter services). The message created from LBSNS include the specific area of interests which the message is created in or mentions. It is easy to propagate the location-based information of LBSNS by adapting the retweet function which is efficient way to propagate the message in tweeter. In this paper, we have defined the smart retweet as a automatic retweet function for efficient propagating the messages which is geo-tagging the location of interests. We have designed the smart retweet system based on the tweeter system. The user could specify the area of interests and build the social networking among the users which have interested in common area. The smart retweet system have been implemented by mesh-up services based on Open-API of trweeter and google map. It is expected that the smart retweet service proposed in this paper makes easy sharing of the location-based interesting information.

An Efficient Dynamic Workload Balancing Strategy (리트윗 행위의 동기, 이유와 가치: 요인 분석)

  • Kim, Hyo D.
    • Journal of the Korea Society of Computer and Information
    • /
    • v.19 no.11
    • /
    • pp.137-147
    • /
    • 2014
  • The study aims at exploring motivation, rationale, and values in twitter users' retweet behavior. It proposes that diffusion of message is based on the complex interactional relationships among attributes of original message, user's rationale, and values. Based on a pilot study, we constructed a total of 34 questions asking message attributes, motivation, and values of retweeting. Then, twitter users participated in an online survey, in which they evaluate their own 5 retweet messages based on the constructed questions(5 messages ${\times}$ 34 questions = 170). Then, a factor analysis is done in order to see the dimensions of the concepts in retweet behavior; and understand how message attributes, motivations, and values are inter-related with each other. The main factors extracted were: (1) public fairness, (2) fun and playfulness, (3) communal help, (4) news and information, etc. Factor 2 and 4 show the traditional journalism characteristics; while factor 1 and 3 do alternative journalistic values. The latter may work as a rectifying factors for traditional journalism; however, backfiring mechanism for group polarization. In addition, (1) users' internal identities, (2) communal unity and (3) belongness were identified as rationales and values for retweet behavior.

Message Attributes, Consequences, and Values in Retweet Behavior : Based on Laddering Method (메시지 특성, 행위의 결과, 추구 가치에 기반한 리트윗 행위 : 래더링 기법을 이용한 탐색적 연구)

  • Kim, Hyo
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.3
    • /
    • pp.131-140
    • /
    • 2013
  • Assuming that roles of traditional mass media are also shown in Twitter services, the study aims at exploring Twitter users' motives and rationales in re-tweet behavior. Based on the laddering interview method, the study gathers data on (1) message attributes (what kinds of messages do you re-tweet?); (2) consequences (what kinds of consequences are you expecting when you re-tweet?); and (3) values (what are the ultimate values in your re-tweet behavior?). The most repetitive value occurring in participants' retweet was feeling "sympathy" and "sharing" rationales. For such rationales, participants oftentimes utilize messages with "agenda" and "information" that are relative to themselves. Messages with "helping" to help others also frequently showed up in their retweet rationales. Known as liberalists' rationales, "communal consciousness", and "calling for others' action" are also shown, but not as frequent as "feeling sympathy and sharing. A total of 48 items from the analyses were used in a subsequent study as variables to identify factors (dimensions) of retweet motivation.

Extracting Core Events Based on Timeline and Retweet Analysis in Twitter Corpus (트위터 문서에서 시간 및 리트윗 분석을 통한 핵심 사건 추출)

  • Tsolmon, Bayar;Lee, Kyung-Soon
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.1 no.1
    • /
    • pp.69-74
    • /
    • 2012
  • Many internet users attempt to focus on the issues which have posted on social network services in a very short time. When some social big issue or event occurred, it will affect the number of comments and retweet on that day in twitter. In this paper, we propose the method of extracting core events based on timeline analysis, sentiment feature and retweet information in twitter data. To validate our method, we have compared the methods using only the frequency of words, word frequency with sentiment analysis, using only chi-square method and using sentiment analysis with chi-square method. For justification of the proposed approach, we have evaluated accuracy of correct answers in top 10 results. The proposed method achieved 94.9% performance. The experimental results show that the proposed method is effective for extracting core events in twitter corpus.

A Case Study of the Issue detected Analysis on Social Media Big Data (소셜 빅 데이터를 이용한 이슈 감지 사례분석)

  • Song, Eun-Jee;Kang, Min-Shik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • /
    • pp.682-683
    • /
    • 2014
  • 최근 IT업체들은 온라인 상에서 소비자들이 평소에 쏟아내는 의견들을 수집, 축적해서, 원하는 키워드를 중심으로 내용을 분석함으로써, 특정 주제에 대해 어떤 여론이 형성되고 있으며, 여론이 어떻게 전파되고 있는지 경로를 파악할 수 있는 소셜 빅데이터 분석 툴을 경쟁적으로 개발하고 있다. 본 논문에서는 소셜 빅 데이터를 분석함에 있어 이슈를 감지하고 예측하는 기술을 실제 사례에 적용하여 분석한 결과를 고찰해 보고자 한다. 소셜 미디어 데이터 패턴을 비교 분석하고 부정이슈 감지를 위해 부정 여론을 확산시키는데 영향을 미치는 내용과 작성자를 독립변수로 하고, 평균 이슈 도달 시간 및 속도를 종속변수로 정의한다. 부정 여론 형성의 영향력은 트윗수, 리트윗 수를 기준으로 이슈 감지한다. 분석결과 전체 트윗 중 리트윗 메시지가 큰 비중 차지하고 이슈에 대한 버즈가 증가할수록 리트윗 비중이 증가하였으며 크게 확산될 때는 리트윗량이 크게 증가하여 짧은 시간 안에 넓게 확산하였다.

  • PDF

A Design of Smart Retweet Supporting the Efficient Information Transfer (효과적인 정보전달을 지원하는 스마트 리트윗의 설계)

  • Jeong, Do-Seong;Cho, Dae-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • /
    • pp.252-255
    • /
    • 2011
  • Growing demand for smart phones and data communication diminishes the constraints of Twitter and Facebook than a smartphone has become a subject of interest. On the other hand facebook users in their relationships to obtain the consent of the other, twitter is a relatively simple procedure for the information ripple effect is excellent. Twitter is beyond a simple social networking services(SNS) located in one of the popular media and powerful have the upper retweet. Retweet to the top of his sympathy with the ability th send tweets to their subscriber information can spread quickly. In this paper, we propose the smart retweet that system actively extend the existing retweet. In order to realize the smart retweet and additional criteria for determining the destination of the information is required. Based on tweet generated regional or an local information mentioned to tweet, to determine the destination. Smart retweet of the speed and scope of information transmission through the scale is expected.

  • PDF

Twitter and Retweet Context: User Characteristics and Message Attributes of Twitter for PR and Marketing (기업의 홍보 마케팅용 트위터의 리트윗 현황 분석: 이용자 특성과 콘텐츠 속성을 중심으로)

  • Cho, Tae-Jong;Yun, Hae-Jung;Lee, Choong-C.
    • Information Systems Review
    • /
    • v.14 no.1
    • /
    • pp.21-35
    • /
    • 2012
  • The rapid growth and popularity of Twitter have been one of the most influential phenomena in the era of social network system and the mobile internet, which also opens up opportunities for new business strategies; in particular, PR and marketing area. This study analyzed use of Twitter in terms of user characteristics and message attributes. Actual field data from the Twitter for PR and Marketing of a representative Korean IT company (Company "K") was used for this analysis. Research findings show that overall corporate twitter users show passive attitude in retweet behavior. Also, users who have relatively small network size (less than 1,000) are more active in retweet than power twitterians that have big network size(over than 10,000). It is showed that the rate of retweet is higher in the order of recruiting, promotional event, IT information, and general PR message. In the conclusion section, practical implications based on the research finding are thoroughly discussed.

  • PDF

Marketing Strategies using Social Network Analysis : Twitter's Search Network (소셜네트워크 분석을 통한 마케팅 전략 : 트위터의 검색네트워크)

  • Yoo, Byong-Kook;Kim, Soon-Hong
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.5
    • /
    • pp.396-407
    • /
    • 2013
  • The role of influentials to maximize word-of-mouth effect can be seen to be very important. In this paper, we have the perspective of corporate marketing to understand Twitter influentials. We start from the point of view of who can induce eventually most exposure of tweets when he tweets the company's specific marketing messages. From this perspective, we observe both the follower influentials who have many followers and the retweet influentials who induce many retweets by visualizing graphs from network data collected via Twitter Search API. Although some users have small followers they may bring much more exposure than follower influentials if they can induce retweets by follower influentials. On the contrary, some retweet influentials who don't induce retweets by follower influentials may bring very little exposure. This suggests the fact that some small users who can induce retweets by influentials might have more important role than influentials themselves in order to increase the exposure of tweets. These users also are seen to have high centrality measures in the network structure.

Effects of Message Polarity and Type on Word of Mouth through SNS (Social Network Service) (메시지 방향성과 유형이 SNS 구전에 미치는 영향)

  • Lee, Ju-Yang;Jang, Phil-Sik
    • Journal of Digital Convergence
    • /
    • v.11 no.6
    • /
    • pp.129-135
    • /
    • 2013
  • With the increasing use of the SNS, WOM(Word of Mouth) has become an even more powerful and useful resource for consumers and marketers. In this paper, we investigated the effects of message polarity (positive, neutral, negative) and type (factual, evaluative) on WOM through SNS (twitter). A total of 13.4 million twitter messages were collected and 1.0 million retweeted messages were analyzed. The results showed that message orientation, type, URL and hashtag have a significant (<0.01) effect on retweet counts and the interaction between message orientation and other factors were observed. It also observed that message type, URL and hashtag have significant (0.05) relationships with retweet speed.