微信公众平台的转基因新闻报道框架偏向性研究被引量：7

Framing Bias of Genetically Modified Organism(GMO) News on WeChat Official Account Admin Platforms

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摘要转基因议题一直受到媒体与公众的广泛关注,近年来微信公众平台成为新闻消费重要的来源,微信公众平台的转基因新闻报道具有突出的研究价值。在大数据和信息爆炸的时代背景下,本文提出新闻议题框架研究的新思路,主要采用语义网络和bag-of-words模型对微信公众平台转基因新闻报道框架偏向性进行研究。研究发现,中央主流媒体、生活服务媒体与科普类媒体对转基因不同议题框架明显呈现不同的报道偏向性。本文针对媒体报道现状存在的问题提出了建议。 The topic of GMO attracts wide attention from the media and the public. New media, such as the We Chat, hasbecome the important sources for news consumption. Studying the GMO news from We Chat Official Account AdminPlatforms will contribute a lot to the academic research. In the context of big data and information explosion, this paperintroduces the novel method of analyzing the news issue frames, combined with semantic network analysis andbag-of-words model, to explore the framing bias of GMO news on We Chat Official Account Admin Platforms. The paperconcludes that different media, such as media belong to central government, media that focus on the people＇s daily life andsocial events and media that aim for science communication, have their preferences for reporting different frames of GMO.Suggestions are given about the coverage of GMO news according to the study.

作者褚建勋纪娇娇黄晟鹏

机构地区中国科学技术大学科学传播研究与发展中心中国科学技术大学公共事务学院中国科学技术大学科技传播与科技政策系

出处《情报科学》 CSSCI 北大核心 2016年第11期140-145,共6页 Information Science

基金国家自然科学基金项目(71573241)

关键词转基因议题微信公众平台框架理论语义网络分析 bag-of-words模型 issue of GMO We Chat Official Account Admin Platform framing theory semantic network analysis bag-of-words model

分类号 G206.3 [文化科学—传播学]

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参考文献29

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