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首页> 外文期刊>Journal of Technology in Human Services >Mark My Words: The Design of an Innovative Methodology to Detect and Analyze Interpersonal Health Conversations in Web and Social Media
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Mark My Words: The Design of an Innovative Methodology to Detect and Analyze Interpersonal Health Conversations in Web and Social Media

机译:标记我的话:检测和分析网络和社交媒体中人际健康对话的创新方法的设计

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Internet technology in which social media play a central role offers new opportunities for health communication. The Center for Media & Health (CMH) in the Netherlands in collaboration with the University of Twente developed a methodology called Mark My Words (MMW) to detect and monitor interpersonal conversations on social media. The MMW methodology is based on the concept of “markers” and on data analysis via text mining techniques. MMW is applied in an innovative web-based entertainment-education series called SndBites. This article describes the design of this new research methodology and shares the methodological advantages and challenges.View full textDownload full textKEYWORDScomputer-mediated communication (CMC), entertainment-education, health communication, media research, social media, text and data mining techniquesRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/15228835.2012.743394
机译:社交媒体在其中发挥核心作用的互联网技术为健康交流提供了新的机会。荷兰媒体与健康中心(CMH)与特温特大学合作开发了一种称为“标记我的语言”(MMW)的方法,用于检测和监视社交媒体上的人际对话。 MMW方法论基于“标记”的概念以及通过文本挖掘技术进行的数据分析。 MMW被应用在名为SndBite的创新性基于网络的娱乐教育系列中。本文介绍了这种新的研究方法的设计,并分享了方法学上的优势和挑战。查看全文下载全文关键字计算机介导的通信(CMC),娱乐教育,健康传播,媒体研究,社交媒体,文本和数据挖掘技术相关的var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/15228835.2012.743394

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