Many researchers in the field of international business have argued that cultural proximity can positively influence bilateral trade. These researchers have attempted to develop proxy measures for cultural proximity, such as language, ethnicity, religion, and trade of cultural goods. However, the conventional measures failed to capture the time-variant characteristics of cultural affinity or di...

The objective of this study was to systematically assess the informational value, intention, source, and bias of videos related to dentistry available on the video-sharing Internet platform YouTube. YouTube (www.youtube.com) was searched for videos related to dentistry, using the system-generated sorts "by relevance" and "most viewed" and two categories (All and Education). Each of the first th...

Medical educators and patients are turning to YouTube to teach and learn about medical conditions. These videos are from authors whose credibility cannot be verified & are not peer reviewed. As a result, studies that have analyzed the educational content of YouTube have reported dismal results. These studies have been unable to exclude videos created by questionable sources and for non-educatio...

The content and quality of medical information available on video sharing websites such as YouTube is not known. We analyzed the source and quality of medical information about Ebola hemorrhagic fever (EHF) disseminated on YouTube and the video characteristics that influence viewer behavior. An inquiry for the search term 'Ebola' was made on YouTube. The first 100 results were arranged in decre...

This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing robust shallow syntactic structures for improving model adaptability. We rely on the tree kernel technology to automatically extract and learn features with better generalization power than bag-of-words. An...

In this paper, we present a spatiotemporal co-location video pattern mining approach with application to robust action retrieval in YouTube videos. First, we introduce an attention shift scheme to detect and partition the focused human actions from YouTube videos, which is based upon the visual saliency [13] modeling together with both the face [35] and body [32] detectors. From the segmented s...

Recent developments in Web technology have changed the way people use the Web. This thesis presents one of the first workload characterizations of YouTube, an extremely popular video sharing Web site. Over a three month period, data was collected on campus YouTube usage, including over 23 million transactions. Statistics on the globally popular videos on YouTube were also collected during this ...

This dissertation concerns the relationship between the liberating potential of an individuals’ use of new media and the various institutional constraints on that. While I aim to explore the emancipatory potential of YouTube, I seek not to lose sight of the cultural, historical and political forces that limit individual use of it. This dissertation examines YouTube from agent, institution and t...

The purpose of the present study is to investigate whether the effectiveness of a new ad on digital channels (YouTube) can be predicted by using neural networks and neuroscience-based metrics (brain response, heart rate variability and eye tracking). Neurophysiological records from 35 participants were exposed to 8 relevant TV Super Bowl commercials. Correlations between neurophysiological-base...