Cañon Daniel E, Lopez Diego M, Blobel Bernd
Telematics Engineering Research Group, University of Cauca, Colombia.
Medical Faculty, University of Regensburg, Germany.
Stud Health Technol Inform. 2014;200:146-52.
Moderation of content in online Health Social Networks (HSN) is critical because information is not only published and produced by experts or health professionals, but also by users of that information. The objective of this paper is to propose a semi-automatic moderation Web Service for assessing the quality (trustworthiness) of health-related videos published on the YouTube social network. The service is relevant for moderators or community managers, who get enabled to control the quality of videos published on their online HSN sites. The HealthTrust metric was selected as the metric to be implemented in the service in order to support the assessment of trustworthiness of videos in Online HSN. The service is a RESTful service which can be integrated into open source Virtual Social Network Platforms, therefore improving trust in the process of searching and publishing content extracted from YouTube. A preliminary pilot evaluation in a simple use case demonstrated that the relevance of videos retrieved using the moderation service was higher compared to the relevance of the videos retrieved using the YouTube search engine.
在线健康社交网络（HSN）中的内容审核至关重要，因为信息不仅由专家或健康专业人士发布和提供，也由该信息的用户发布。本文的目的是提出一种半自动审核网络服务，用于评估在YouTube社交网络上发布的与健康相关视频的质量（可信度）。该服务对审核人员或社区管理人员很有用，他们能够控制在其在线HSN网站上发布的视频质量。选择HealthTrust指标作为要在该服务中实施的指标，以支持对在线HSN中视频可信度的评估。该服务是一种RESTful服务，可集成到开源虚拟社交网络平台中，从而提高在搜索和发布从YouTube提取的内容过程中的信任度。在一个简单用例中的初步试点评估表明，使用审核服务检索到的视频相关性比使用YouTube搜索引擎检索到的视频相关性更高。
