How can web services that depend on user generated content discern fake social engagement activities by spammers from legitimate ones? In this paper, we focus on the social site of YouTube and the problem of identifying bad actors posting inorganic contents and inflating the count of social engagement metrics. We propose an effective method, Leas (Local Expansion at Scale), and show how the fak...

In this paper, we propose a new framework to annotating subtitled YouTube EDU media fragments using textual features such as exert all the basic portions extracted from the web-based natural language processors of in relation to subtitles and temporal features such as duration of the media fragments where proper entities are spotted. We've created the SY-E-MFSE (Subtitled YouTube EDU Media...

Social media Web sites such as YouTube offer activists unique opportunities to reach out to new audiences through a variety of diverse appeals. Yet the rules of engagement on social media should depend on the structures, goals, and characteristics of the movements engaging in this outreach. To explore how differences in social movements translate into online activism, we employ a paired case st...

BACKGROUND YouTube is one of the largest social networking websites, allowing users to upload and view video content that provides entertainment and conveys many messages, including those related to health conditions, such as concussion. However, little is known about the content of videos relating to concussion. OBJECTIVE To identify and classify the content of concussion-related videos avai...

There is an explosion of youth subscriptions to original content-media-sharing Web sites such as YouTube. These Web sites combine media production and distribution with social networking features, making them an ideal place to create, connect, collaborate, and circulate. By encouraging youth to become media creators and social networkers, new media platforms such as YouTube offer a participator...

Object tracking is an area of active research in Computer Vision. Tracking is a challenging problem, fundamentally due to the loss of information caused by the projection of a 3D scene on a 2D image. In this project, we are interested in tracking objects in YouTube videos, which are very diverse and have high variation in terms of changes in illumination, scale of objects, viewpoint, intra clas...

Background: An increasing amount of health education resources for patients and professionals are distributed via social media channels. For example, thousands of health education videos are disseminated via YouTube. Often, tags are assigned by the disseminator. However, the lack of use of standardized terminologies in those tags and the presence of misleading videos make it particularly hard t...

There have been great changes in medical education environment during the 20th century due to advances in biological sciences, increasing demands from health services (Bleakley et al., 2011; Cooke et al., 2006), and in the past two decades dynamic development of information and communication technologies (ICT) (Masic et al., 2011). They have increased the efficiency of learning and promoted the...