• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2007.05a
• /
• pp.138-144
• /
• 2007

Nowadays blogging is emerging as a new way of making a human-to-human relationship by offering personal information and opinion to others or by receiving any responses from them. The blogging activity would be also useful when they are in a movement surrounding lots of objects which are potentially interesting to them. However, immediate response from the objects is not available using legacy blogging systems. This paper, hence, aims to propose a methodology which allows the users to communicate with the objects to get useful information or get served immediately. Our approach is to let the objects act as bloggers, having their own blogs and communicating with each other and even with human.

• Journal of Intelligence and Information Systems
• /
• v.14 no.3
• /
• pp.1-23
• /
• 2008

Nowadays blogging is emerging as a new way of building human-to-human relationship by offering personal information and sharing opinions with others on their own initiatives. These blogging activities would be also useful when people are in a movement surrounding lots of objects, such as products and shops, which are potentially interesting to them. However, immediate response from the objects is not available using legacy blogging systems. This is mainly due to the segregation of the blogging content owners from the objects. This paper, hence, aims to propose a methodology which allows the users to directly communicate with the objects in a timely and context-aware manner, not the object owners, to get useful information or get served immediately. To do so, the concept of artificial bloggers which work on behalf of the objects and eventually the object owners is proposed. The functionalities of u-Blogging are also introduced with prototype system.

• Educational Technology International
• /
• v.23 no.1
• /
• pp.67-96
• /
• 2022

Although blogs have been used in online learning environments with optimistic expectations, the distributed nature of blogs can pose some challenges. Currently, we do not have a robust collection of tested blogging strategies to help students interact more effectively with each other when blogs are used as a primary form of engagement in an online class. Thus, the purpose of the study was to test an early iteration of an instructional blogging strategy, "Featured Student Profiles," which is designed to help students become acquainted with each other better and encourage them to visit and comment on each other's blogs. Sixteen pre-service teachers who were enrolled in an online course in which student blogs are the primary medium of peer interactions, participated in the study. Using a design case approach, seven students participated in interviews and all student blog interactions were analyzed. Thematic analysis was applied to analyze the interview data and identify salient themes of students' blogging experiences overall under the study strategy. The findings indicated that students took the most direct and efficient path they experienced to complete the blog task. Their peer interaction patterns varied, but several shifted from random to targeted relationships as the semester progressed. Although all students perceived the strategy as a positive approach to peer awareness, there was no clear evidence of its effect on student interactions.

• International Commerce and Information Review
• /
• v.7 no.4
• /
• pp.23-36
• /
• 2005

With the rapid development of the Internet, e-business has been entering a new phase. However, there're still some problems to be settled and needs for breakthrough. The paper proposes an innovative approach to e-business models with the aim to resolve the problems. The paper reviews the exiting e-commerce models and points out some of the common weaknesses of the models, and presents the "Business Blogging e-Hub"model for e-business. With the characteristics of all-sided information, multi-dimensional interactivity and trans-model e-commerce platform, the proposed model is created and derived from the integration of the "classical"e-commerce models as B2B, B2C and C2C with the technology and essence of blogging, and is thus sure to meet rapidly changing business needs.

• The Journal of Society for e-Business Studies
• /
• v.15 no.3
• /
• pp.45-61
• /
• 2010

This study investigated the types of intention to use micro-blogging service. In this study, we classified micro-blogging users' motivations using Q methodology which enables measure objectivity with subjective activity like individual thinking and feeling. The results of this study showed that micro-blogging service users' motivationswere classified into four types. Type 1 is 'relationship oriented type' and Type 2 is 'self-expression type.' Type 3 is 'time consumption type' and Type 4 is 'information seeking type.' The findings imply that the characteristics of each user type can be utilized to customize micro-blogging services.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.8
• /
• pp.3005-3027
• /
• 2015

Spam has become one of the top threats of micro-blogging networks as the representations of rumor spreading, advertisement abusing and malware distribution. With the increasing popularity of micro-blogging, the problems will exacerbate. Prior detection tools are either designed for specific types of spams or not robust enough. Spammers may escape easily from being detected by adjusting their behaviors. In this paper, we present a novel model to quantitatively evaluate information diffusion in micro-blogging networks. Under this model, we found that spam posts differ wildly from the non-spam ones. First, the propagations of non-spam posts mostly result from their followers, but those of spam posts are mainly from strangers. Second, the non-spam posts relatively last longer than the spam posts. Besides, the non-spam posts always get their first reposts/comments much sooner than the spam posts. With the features defined in our model, we propose an RBF-based approach to detect spams. Different from the previous works, in which the features are extracted from individual profiles or contents, the diffusion features are not determined by any single user but the crowd. Thus, our method is more robust because any single user's behavior changes will not affect the effectiveness. Besides, although the spams vary in types and forms, they're propagated in the same way, so our method is effective for all types of spams. With the real data crawled from the leading micro-blogging services of China, we are able to evaluate the effectiveness of our model. The experiment results show that our model can achieve high accuracy both in precision and recall.

• Journal of Digital Contents Society
• /
• v.15 no.1
• /
• pp.29-38
• /
• 2014

The purpose of this study is to analyze story generation model of blogging. This study considers the structural factors like RSS, Trackback of the blog that generate stories. RSS pushes stories and this makes 'Story Unit'. By contrast, Trackback pulls stories and this makes 'Story extension'. By applying the concept of C. S. Peirce's "interpretant" for analysis process of story generation, story transformation, and story circulation on a blog, this study examines the meaning that each process create. This study suggests the process of story generation model on blogging as an integrated symbol and presents the model in storytelling perspective.

• Asia pacific journal of information systems
• /
• v.15 no.4
• /
• pp.89-107
• /
• 2005

As new information technology(IT) adoption continues to produce many investment opportunities, imperfectly informed IT managers keep trying to acquire credible external signals to update their knowledge on new technologies. Such learning processes usually help them to reach better IT adoption decisions. In some cases, however, the opposite of the goal is achieved. Most IT managers quickly converge to the same adoption decision independent of their private information. Interestingly, such information cascade is the outcome of each individual decision maker's rational choice. A technology acceptance model(TAM) is adopted that has been widely used to predict the end-user's acceptance of a new technology. A model with individual charact-eristics and information cascade variables is constructed to explain user's intention in adopting blogging. The model is empirically tested with surveyed data. The results show that individual characteristics and information cascades have significant impacts in the case of blogging.

• International Journal of Costume and Fashion
• /
• v.13 no.1
• /
• pp.1-10
• /
• 2013

This study examines existing literature and uses case studies to identify the scope of fashion blogging and the evolving role of the personal style bloggers in the fashion business. Information on six popular personal style bloggers has been gathered to demonstrate the evolving business of these bloggers and their scope of operations that are relevant to fashion. The case of these six bloggers were drawn from popular media publications such as CNN, Wall Street Journal (WSJ), Time, Women's Wear Daily (WWD) and The New York Times. The case study of these six bloggers reveals that these personal style bloggers have used their reach and influence on the blog audience to procure and access business opportunities to grow their enterprise. The findings indicate that affiliation, partnership or collaboration with brands or established designers adds more value to a personal style bloggers resume. However, the findings also indicate that the popular fashion bloggers provide a new opportunity for marketing and promoting fashion brands and products to the younger generation.

• Journal of Korea Game Society
• /
• v.12 no.3
• /
• pp.77-86
• /
• 2012

In recent years, micro-blogging services such as 'Twitter' and 'Me2day' have rapidly become major social networking services. However, it is difficult to grasp the relationship between a user and his/her friends in these micro-blogging services because they simply list messages between them in chronological order. In this paper, we propose a visual analytics system that can help the user intuitively understand relationships with their friends on micro-blogging services by enabling them to analyze the messages quantitatively, qualitatively and temporally. In the visual analytics system, we also present a tool to provide the user with valuable advices after classifying the changing relation patterns with his/her friends, which in turn contributes to improving relationships with friends. The proposed system was successfully implemented as smartphone applications to show its potential to be a tool for analyses and improvement of social relations in micro-blogging services.