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Automatic Content Analysis of Media Framing by Text Mining Techniques

机译：利用文本挖掘技术对媒体框架的自动内容分析

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摘要

Political-related news is one of the most popular topics in various media platforms. When news is produced through a process of selection and rephrase by reporters and media firms, reporters' personal political leaning and personal opinions may influence the process, important messages may inevitably loss. In Taiwan, the Parliamentary Library of Legislative Yuan website provides detailed contents about activities happening in the Legislative Yuan, including such contents as transcripts and video recordings of interpellation, conference speech, interim and legislation proposals. Although there is a complete record of information provided online, but the quantity of the legislative documents are far too much for citizens to make sense of. It is imperative that better organized information released to the public would facilitate readers to reduce the cognitive loads in understanding what issues have been discussed by legislators and reported by the media. To minimize the gap between legislative documents and the general public, this study proposes a text mining mechanism to automatically cluster legislative and news documents to identify media frames, and then represents the proportion of each frame corresponding to information sources. The automatic clustering system can determine media frames with the minimum amount of human interference. The results of interviews show that the information system proposed in this study is able to provide political domain experts hard evidences of media framing, and assist the public to discover media framing phenomenon, which are the major contributions of this research.
机译：与政治有关的新闻是各种媒体平台上最受欢迎的话题之一。当记者和媒体公司通过选择和重新措辞的过程制作新闻时，记者的个人政治倾向和个人见解可能会影响新闻发布过程，因此重要的信息不可避免地会丢失。在台湾，立法院国会图书馆的网站提供了有关立法院活动的详细内容，其中包括谈话内容的录音笔录和录像，会议讲话，临时提案和立法建议。尽管在线提供了完整的信息记录，但是立法文件的数量对于公民来说实在太多了。当务之急是，更好地向公众发布有组织的信息将有助于读者减少理解立法者讨论并由媒体报道的问题时的认知负担。为了最大程度地减少立法文件与公众之间的差距，本研究提出了一种文本挖掘机制，用于自动将立法文件和新闻文件聚类以识别媒体框架，然后代表每个框架对应信息源的比例。自动聚类系统可以确定人为干扰最少的媒体帧。访谈结果表明，本研究提出的信息系统能够为政治领域的专家提供媒体构架的确凿证据，并协助公众发现媒体构架现象，这是本研究的主要贡献。

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