来源类型
Peer-journal
DOI
https://doi.org/10.1007/s11051-012-1381-8
Tweeting Nano: How Public Discourses about Nanotechnology Develop in Social Media Environments
论文题名译名
推特Nano:关于纳米技术的公共讨论如何在社交媒体环境中发展
出版者
Springer Nature
出版日期
2013
ISSN
1388-0764
EISSN
1572-896X
出版年
2013
卷号
15
期号
1
摘要
The growing popularity of social media as a channel for distributing and debating scientific information raises questions about the types of discourse that surround emerging technologies, such as nanotechnology, in online environments, as well as the different forms of information that audiences encounter when they use these online tools of information sharing. This study maps the landscape surrounding social media traffic about nanotechnology. Specifically, we use computational linguistic software to analyze a census of all English-language nanotechnology-related tweets expressing opinions posted on Twitter between September 1, 2010 and August 31, 2011. Results show that 55 % of tweets expressed certainty and 45 % expressed uncertainty. Twenty-seven percent of tweets expressed optimistic outlooks, 32 % expressed neutral outlooks and 41 % expressed pessimistic outlooks. Tweets were mapped by U.S. state, and our data show that tweets are more likely to originate from states with a federally funded National Nanotechnology Initiative center or network. The trend toward certainty in opinion coupled with the distinct geographic origins of much of the social media traffic on Twitter for nanotechnology-related opinion has significant implications for understanding how key online influencers are debating and positioning the issue of nanotechnology for lay and policy audiences.
中文摘要
社交媒体作为传播和辩论科学信息的渠道越来越受欢迎,这引发了人们对在线环境中围绕纳米技术等新兴技术的话语类型的质疑,以及观众在使用这些在线信息共享工具时遇到的不同形式的信息的质疑。这项研究描绘了围绕纳米技术的社交媒体流量的景观。具体而言,我们使用计算语言学软件来分析2010年9月1日至2011年8月31日期间在推特上发布的所有英语纳米技术相关推文的人口普查。结果显示,55%的推文表达了确定性,45%表达了不确定性。27%的推文表达了乐观的前景,32%的推文表示了中立的前景,41%的推文则表示了悲观的前景。推特是由美国各州绘制的,我们的数据显示,推特更有可能来自有联邦的州
NSTL主题领域
科学与技术
NSTL智库专题
材料
NSTL分类号
21
来源智库
Consortium for Science, Policy, and Outcomes (United States)
获取方式
馆藏
NSTL资源类型
期刊论文
NSTL唯一标识符
JA202305300000014ZX
加工单位 processInst
入库编号
CJ20230609JA000100

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。