YouTube traffic is bursty. These bursts trigger packet losses and stress router queues, causing TCP’s congestion-control algorithm to kick in. In this paper, we introduce Trickle, a server-side mechanism that uses TCP to rate limit YouTube video streaming. Trickle paces the video stream by placing an upper bound on TCP’s congestion window as a function of the streaming rate and the round-trip t...

Scholars continue to debate the social functions of YouTube as an online platform; some pointing to emergence of community [21] while others describing it as an asocial extension of a television screen [7]. This paper argues for three types of participation online: passive, active and interactive. Focusing on one particular YouTube site, the authors engage in a multi-method exploration of the c...

Social networks and the propagation of content within social networks have received an extensive attention during the past few years. Social network content propagation is believed to depend on the similarity of users as well as on the existence of friends in the social network. Our former investigation of the YouTube social network showed that strangers (non-friends and non-followers) play a m...

Large amounts of jihadi video content on YouTube along with the vast array of relational data that can be gathered opens up innovative avenues for exploration of the support base for political violence. This exploratory study analyses the online supporters of jihad-promoting video content on YouTube, focusing on those posting and commenting upon martyr-promoting material from Iraq. Findings sug...

BACKGROUND Infant vaccinations are necessary for public health, but are painful, causing distress to the infant and caregivers. Breastfeeding and sucrose effectively reduce infants' pain during vaccinations, and these strategies are recommended in health care provider (HCP)-targeted education and vaccination pain guidelines. However studies show these strategies are infrequently used. YouTube i...

Based on Rogers’s innovation diffusion model, we investigate how electronic word-of-mouth (eWOM) through different types of social media impacts movie sales across the different phases of movie screening. We collected eWOM information on movies from February to October 2012 from Twitter, Yahoo!Movies, YouTube, and blogs on a daily basis. The results indicate that Twitter is relatively influenti...

In this paper, we propose a novel spatio-temporal feature which is useful for feature-fusion-based action recognition with Multiple Kernel Learning (MKL). The proposed spatio-temporal feature is based on moving SURF interest points grouped by Delaunay triangulation and on their motion over time. Since this local spatio-temporal feature has different characteristics from holistic appearance feat...

The aim of this paper is to analyse whether the Eurozone companies use Youtube, the main purposes of its usage, their activity and online practices, as well as the factors influencing both channel ́s activity and visibility of the uploaded videos. Our study shows that 44% of the explored companies have an official Youtube channel, mostly used for promotional and marketing purposes, with an avera...

Due to its status as the most popular video sharing platform, YouTube plays an important role in the online strategy of extreme right groups, where it is often used to host associated content such as music and other propaganda. In this paper, we develop a categorization suitable for the analysis of extreme right channels found on YouTube. By combining this with an NMF-based topic modelling meth...

We describe a semi-automated system to assist law enforcement and intelligence agencies dealing with cyber-crime related to promotion of hate and radicalization on the Internet. The focus of this work is on mining YouTube to discover hate videos, users and virtual hidden communities. Finding precise information on YouTube is a challenging task because of the huge size of the YouTube repository ...