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Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems
Meeyoung Cha,Haewoon Kwak,Rodriguez, P.,Yong-Yeol Ahn,Sue Moon IEEE 2009 IEEE/ACM transactions on networking Vol.17 No.5
<P>User generated content (UGC), now with millions of video producers and consumers, is reshaping the way people watch video and TV. In particular, UGC sites are creating new viewing patterns and social interactions, empowering users to be more creative, and generating new business opportunities. Compared to traditional video-on-demand (VoD) systems, UGC services allow users to request videos from a potentially unlimited selection in an asynchronous fashion. To better understand the impact of UGC services, we have analyzed the world's largest UGC VoD system, YouTube, and a popular similar system in Korea, Daum Videos. In this paper, we first empirically show how UGC services are fundamentally different from traditional VoD services. We then analyze the intrinsic statistical properties of UGC popularity distributions and discuss opportunities to leverage the latent demand for niche videos (or the so-called 'the Long Tail' potential), which is not reached today due to information filtering or other system scarcity distortions. Based on traces collected across multiple days, we study the popularity lifetime of UGC videos and the relationship between requests and video age. Finally, we measure the level of content aliasing and illegal content in the system and show the problems aliasing creates in ranking the video popularity accurately. The results presented in this paper are crucial to understanding UGC VoD systems and may have major commercial and technical implications for site administrators and content owners.</P>
The World of Connections and Information Flow in Twitter
Meeyoung Cha,Benevenuto, F.,Haddadi, H.,Gummadi, K. IEEE 2012 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS P Vol.42 No.4
<P>Information propagation in online social networks like Twitter is unique in that word-of-mouth propagation and traditional media sources coexist. We collect a large amount of data from Twitter to compare the relative roles different types of users play in information flow. Using empirical data on the spread of news about major international headlines as well as minor topics, we investigate the relative roles of three types of information spreaders: 1) mass media sources like BBC; 2) grassroots, consisting of ordinary users; and 3) evangelists, consisting of opinion leaders, politicians, celebrities, and local businesses. Mass media sources play a vital role in reaching the majority of the audience in any major topics. Evangelists, however, introduce both major and minor topics to audiences who are further away from the core of the network and would otherwise be unreachable. Grassroots users are relatively passive in helping spread the news, although they account for the 98% of the network. Our results bring insights into what contributes to rapid information propagation at different levels of topic popularity, which we believe are useful to the designers of social search and recommendation engines.</P>
Gabriel Lima,Meeyoung Cha,Chiyoung Cha,Hyeyoung Hwang 한국자료분석학회 2021 Journal of the Korean Data Analysis Society Vol.23 No.3
This study presents survey results of the public’s willingness to get vaccinated against COVID-19 during an early phase of the pandemic and examines factors that could influence vaccine acceptance based on a between-subjects design. A representative quota sample of 572 adults in the US and UK participated in an online survey. First, the participants’ medical use tendencies and initial vaccine acceptance were assessed; then, short vignettes were provided to evaluate their changes in attitude towards COVID-19 vaccines. For data analysis, ANOVA and post hoc pairwise comparisons were used. The participants were more reluctant to vaccinate their children than themselves and the elderly. The use of artificial intelligence (AI) in vaccine development did not influence vaccine acceptance. Vignettes that explicitly stated the high effectiveness of vaccines led to an increase in vaccine acceptance. Our study suggests public policies emphasizing the vaccine effectiveness against the virus could lead to higher vaccination rates. We also discuss the public’s expectations of governments concerning vaccine safety and present a series of implications based on our findings.
Jisun An,Meeyoung Cha,Krishna Gummadi,Jon Crowcroft 한국산업응용수학회 2011 한국산업응용수학회 학술대회 논문집 Vol.6 No.1
We present a preliminary but groundbreaking study of the media landscape of Twitter. We use public data on whom follows who to uncover common behavior in media consumption, the relationship between various classes of media, and the diversity of media content which social links may bring. Our analysis shows that there is a non-negligible amount of indirect media exposure, either through friends who follow particular media sources, or via retweeted messages. We show that the indirect media exposure expands the political diversity of news to which users are exposed to a surprising extent, increasing the range by between 60-98%. These results are valuable because they have not been readily available to traditional media, and they can help predict how we will read news, and how publishers will interact with us in the future.
소셜미디어 유력자의 네트워크 특성 : 한국의 트위터 공동체를 중심으로
이원태(Wontae Lee),차미영(Meeyoung Cha),양해륜(Haeryun Yang) 서울대학교 언론정보연구소 2011 언론정보연구 Vol.48 No.2
본 연구는 최근 트위터와 같은 소셜미디어에서 의제설정, 여론형성 등에 큰 영향력을 발휘하고 있는 새로운 유형의 오피니언 리더, 즉 소셜미디어 유력자들(social media influentials)의 네트워크 특성과 역할을 규명하는 것을 목적으로 한다. 연구결과 한국의 트위터 유력자들은 글로벌 네트워크와는 달리 이용자 상호작용(user interaction)의 측면에서 매우 강력한 네트워크 호혜성을 특징적으로 보여주고 있으며, 이들 트위터 유력자의 영향력도 그들이 보유한 팔로어 규모에 의존하기보다는 적극적인 리트윗(RT)을 매개로 하는 수많은 팔로어들과의 개방적 소통방식에 의해 적극 추동된다는 점을 보여주었다. 특히 ‘매개적 유력자(intermediary influentials)’의 역할에서 보듯이, 강력한 유력자 네트워크의 이면에는 네트워크 구성원들의 추천과 평판에 기반한 쌍방향적인 의사소통이 놓여 있음을 알 수 있다 This study aims to shed light on the network property and roles of social media influentials who are emerging as a new type of opinion leaders in setting the agenda and forming public opinions on online social networking sites such as Twitter. The result shows that the Korean Twitter influentials exhibit very strong reciprocity in terms of topology and user interaction. Their impact on other users relies more on open communication with followers via retweeting (RT) than on how many followers they have. In particular, beneath the surface of the powerful influentials network, intermediary influentials engage in interactive communications with the network members based on peer recommendation and reputation.