Kanghak Kim, Geonhyuk Go, Hyun-woo Park, Sangki Han, “Ranking Social News Articles Based on Voter Credibility,” International AAAI Conference on Weblogs and Social Media (ICWSM2010), Washington, DC, Poster Accepted
Posted on 18 March, 2010
Abstract
Given the wide spread of web-based tools and social news media services which are facilitating grassroots journalism, there is a growing interest in selecting credible news content among a huge number of articles. Currently, most of social news services rely on reader votes to select articles for their front pages. However, the fundamental problem is [...]
JS. Ko, KH. Kim, OY. Kweon, JW. Kim, S. Han, “Open Editing Algorithm: Collaborative News Promotion Algorithm based on Users’ Voting History”
Posted on 11 September, 2009
Abstract | In social news services, selecting valuable and credible news contents is one of the most important issues. In traditional journalism, a small number of people called editors can select news in order to ensure that the news is worthwhile. Several services have used to utilize readers voting to find news popular or credible [...]
GiHong Kim, S. Han, “A Study of Online (Digital) Reputation in Blogosphere based on Relationship and Activity”
Posted on 10 September, 2009
Abstract | Reputation, as a part of collective systems of beliefs and opinions about people and things, is an important criterion to judge other people. With the rise of Web 2.0, reputation has gained a superior influence in large-scale online communities (Blog, SNS and etc) – which can be considered as a miniature of offline [...]
Sung Eob Lee, Dong Kwan Son, S. Han, “Qtag : tagging as a means of rating, opinion-expressing, sharing and visualizing”
Posted on 10 September, 2009
Abstract | Collaborative tagging provides exceptional performance in the domains of IF (Information Filtering) and IR (Information Retrieval). Based on various studies regarding the tagging behavior of users, it can be concluded that there is potential for expansion of this domain to the area of ratings. The paper presents Qtag, a qualitative tagging system that [...]
Sung Eob Lee, S. Han, “Qtag: Introducing the Qualitative Tagging System”
Posted on 10 September, 2009
Abstract | Collaborative tagging provides exceptional performance in the domains of IF (Information Filtering) and IR (Information Retrieval). Based on various studies regarding the tagging behavior of users, it can be concluded that there is potential for expansion of this domain to the area of ratings. The paper presents Qtag, a qualitative tagging system that [...]
Young Sik Kim, Kibeom Lee, S. Han, “Study on Collective Memory in the Blogosphere”
Posted on 10 September, 2009
Abstract | With the change to Web2.0 Internet environment and the popularization of blogs, people write various writings freely on the Internet such as daily events, movie reviews, news, etc. Here, we can find writings on personal experiences from the past or on past popular culture. This paper analyzed collective memory through the blogosphere. We define blog [...]
Sung Eob Lee, Taeksoo CHUN, S. Han, “Using Qtag to Extract Dominant Opinion in Very Large-Scale Conversation”
Posted on 10 September, 2009
Abstract | These days VLSC (Very Large-Scale Conversation) is a particular type of online conversation, that is large scale, public, text-based, many-to-many and persistent. The nature of VLSC allows the accumulation of thousands of conversation in a fraction of time, and it often grows out of users’ readable capacity. Therefore, extracting dominant public opinion on VLSC [...]
Suyeon Kim, S. Han, “An Analytical Way to Find Influencers on Social Networks and Validate their Effects in Disseminating Social Games”
Posted on 09 September, 2009
Abstract
As the weight of online social networks (OSNs) which provide powerful means of sharing common interests and communicating has gradually grown up, influencers are also given the great attention. This research proposes and evaluates a methodology for discovering influencers within OSNs. Finding strong influencers out is momentous perspective in success of viral marketing. The methodology [...]
Validation of the Effects of influencers in Social Networks through Disseminating the Facebook Application
Posted on 08 September, 2009
소셜네트워크에서의 인플루언서 영향력 검증에 관한 연구 : 페이스북 어플리케이션 확산을 중심으로
Kim, Su Yeon | 김수연
Abstract This research proposes and evaluates a methodology for discovering influencers within online social networking sites(OSNSs), which provide powerful means of sharing common interests and communicating between users. By using data from Facebook, we validate the effects of influencers extracted by [...]
A New Online Ad Model for UGC Based on Qualitative Social Tagging
Posted on 08 September, 2009
정성적 소셜태깅 기반의 새로운 UGC 광고 모델
Shin, Seung Eui | 신승의
Abstract This research identifies problems with the existing UGC ad model, especially contents based model, moreover, proposes ‘Social Tagging’ and ‘Qtag methodology’ as alternatives to resolve the existing problems. The current UGC ad models have some problems when exposing ads related to customer’s interests or [...]
