THE PUBLIC’S UNDERSTANDING OF “EVOLUTION” AS SEEN THROUGH ONLINE SPACES

Hyoung-Yong Park, Hae-Ae Seo
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Abstract

Evolution is a central concept that unifies all areas of life sciences. Despite longstanding scientific efforts in science education, the public's scientific awareness of evolution still needs to improve. Furthermore, teaching evolution is subject to recurring controversy. This study aimed to investigate the gap between public understanding of evolution seen through online spaces and contents in a school curriculum and explore its reasons. A content analysis was conducted using data mining on a major online portal in Korea. It examined the characteristics of creating and consuming content on evolution through the online portal service based on analyzing the number of posts related to biological evolution and active participants. It also discussed the feasibility of automatic document classification to distinguish between scientific understanding and non-scientific beliefs on the evolution and related online circulating contents. The results show that there are tactics for public exposure and dissemination of creationism through online discussions. Keywords: automated classification, machine learning, network analysis, public understanding of evolution
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从网络空间看公众对“进化”的理解
进化是一个中心概念,它统一了生命科学的所有领域。尽管在科学教育方面进行了长期的科学努力,但公众对进化论的科学意识仍有待提高。此外,教授进化论是一个反复出现的争议话题。本研究旨在调查公众透过网路空间与学校课程内容对进化论的理解之间的差距,并探讨其原因。利用数据挖掘技术对韩国某大型门户网站进行了内容分析。通过分析生物进化相关文章的数量和活跃的参与者,调查了通过门户网站制作和消费生物进化相关内容的特点。本文还讨论了自动文档分类的可行性,以区分对进化论和相关在线流通内容的科学理解和非科学信仰。结果表明,通过网络讨论,神创论的公众曝光和传播是有策略的。关键词:自动分类,机器学习,网络分析,公众对进化的理解
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