@article {367,
	title = {Towards Assisted Moderation in Online Healthcare Social Networks: Improving Trust in YouTube Searches},
	journal = {Studies In Health Technology And Informatics},
	volume = {200},
	year = {2014},
	month = {2014},
	pages = {146},
	type = {A2},
	abstract = {<p><span style="font-family: arial, helvetica, clean, sans-serif; font-size: 13px; line-height: 17.9998016357422px;">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.</span></p>
},
	keywords = {Health Social Networks, Moderation, Trust, YouTube},
	issn = {0926-9630},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/24851979},
	author = {Diego Mauricio L{\'o}pez Gutierrez and Bernd Blobel and Daniel Eduardo Ca{\~n}{\'o}n Zu{\~n}iga}
}
