An Ontology-Based Computational Framework for Analyzing Public Opinion Framing in News Media
An Ontology-Based Computational Framework for Analyzing Public Opinion Framing in News Media
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DOI：
10.1109/smc.2013.413
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发表时间：
2013-10
期刊：
影响因子：
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通讯作者：
Fernando Corrales Barboza;Hayeong Jeong;Kiyoshi Kobayashi;Shun Shiramatsu
中科院分区：
文献类型：
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作者：
Fernando Corrales Barboza;Hayeong Jeong;Kiyoshi Kobayashi;Shun Shiramatsu
本研究的目的是通过比较意识形态遥远的新闻媒体来源的报道，开发一个计算框架，用于分析有争议的公共问题的新闻报道框架。由于新闻媒体来源在公众舆论的形成中起着关键作用，它们的报道在公共辩论的动态中也起着重要作用。可以假设，根据相关媒体来源的编辑观点和政治参与者在政治舞台上的立场，政治参与者的公共互动可能会在媒体中受到不同的对待。然而，问题来了，如何衡量这些差异？本研究使用语料库提取技术、SPARQL查询和本体工程，比较了主要政治参与者在基于同一有争议的公共问题的两个意识形态不同的新闻媒体源所建模的话语空间中的位置。
The aim of this study is to develop a computational framework for analyzing the framing of news coverage for controversial public issues by comparing the coverage from ideologically distant news media sources. Because news media sources play a key role in the formation of public opinion, their coverage also plays a major role in the dynamics of the public debates. It can be hypothesized that the public interactions of political players may be treated differently in the media based on the editorial perspective of the media sources in question and the positions that the political players occupy in the political arena. However, the question arises, how can these differences be measured? Using corpus extraction techniques, SPARQL queries, and ontology engineering, this study compares the positions that key political players occupy in discourse spaces that are modeled by two ideologically distant news media sources based on the same controversial public issue.