基于语义网络分析的微信公众平台转基因议题研究

A Semantic Network Analysis of Issues about Genetically Modified Food on WeChat Official Account Admin Platform

中文关键词: 转基因食品，微信公众平台，语义网络，科学传播

英文关键词: genetically modified food  WeChat official account admin platform  semantic network  science popularization

中文摘要:

      近年来，食品安全问题成为人们讨论的热点话题，公众关注度日益升温，其中转基因食品问题在世界范围内引起激烈争论。随着网络新媒体的迅猛发展，微博、微信等社交网络新媒体成为人们获取新闻资讯的重要渠道，特别是微信公众平台，作为自媒体热捧的信息发布平台，其关于转基因所涉及到哪些议题成为研究的重心。本研究运用语义网络分析方法对通过微信公众平台采集的824篇有关转基因议题的文章进行分析，探讨其有关转基因食品及作物的内容中所涉及的方面和偏向性，以可视化图像直观呈现其议题内容涉及到的转基因生物安全政策、食品标识政策、转基因食品辨别科普、转基因食品事件披露等多个层面，并针对其若干问题提出了相应的分析建议。

英文摘要:

      Food safety has been a hot button issue and gained extensive attention from the public，among which genetically modified foods（GMFs）cause worldwide intense debate. The wide penetration of new communication technologies，for instance WeChat，makes it wider for news consumption. We want to explore whether the news of GMFs on the WeChat Official Account Admin Platform covers different aspects，conforming to the principle of fair coverage. We collected 824 articles on GMFs from the Platform，conduct semantic network analysis of the news items and represent particular facts and practices. Results indicate that news on the Platform are related to various practices，such as GMF safety regulation，labeling policy，science popularization and disclosure of GMF events and finally we give some suggestions based on the analysis of the problems we found.