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Not Your Father’s Turing Test 不是你父亲的图灵测试
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/lyny2964
Deborah Poskanzer
A review of Machines Like Me by Ian McEwan, Klara and the Sun by Kazuo Ishiguro, and The Employees by Olga Ravn (translated by Martin Aitken).
伊恩·麦克尤恩的《像我一样的机器》、石黑一雄的《克拉拉与太阳》和奥尔加·拉文的《雇员》(马丁·艾特肯翻译)。
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引用次数: 0
In Finland, We Make Each Schoolchild a Scientist 在芬兰,我们让每个学生都成为科学家
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/fexx4401
K. Kivinen
Teaching research skills and encouraging inquiry from the earliest ages can build social resilience to misleading information.
从小教授研究技能和鼓励探究可以增强社会对误导信息的抵御能力。
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引用次数: 0
A Next-Generation Strategy for American Science 美国科学的下一代战略
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/wahk4750
F. Lucas
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引用次数: 0
Symbionts: Contemporary Artists and the Biosphere 共生:当代艺术家与生物圈
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/ushh2310
Crystal Z Campbell
The Symbionts exhibit represents a new generation of bioartists who are interested in exploring what it means to be interdependent or collaborative within a system.
Symbionts展览代表了新一代的生物化学家,他们有兴趣探索在一个系统中相互依存或合作意味着什么。
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引用次数: 1
Finding the “I” in Interdisciplinarity 在跨学科中寻找“我”
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/neum7550
Annie Patrick
When I was assigned to a federally funded project to revolutionize engineering education at Virginia Tech, I thought being an effective scholar meant shunning my unconventional background. Instead, I had to embrace it.
当我被分配到一个由联邦政府资助的项目中,该项目旨在革新弗吉尼亚理工大学的工程教育时,我以为要成为一名高效的学者,就意味着要避开我的非常规背景。相反,我不得不接受它。
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引用次数: 0
Misunderstanding Misinformation 误解错误信息
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/zaud1691
C. Wardle
An obsession with gauging accuracy of individual posts is misguided. To strengthen information ecosystems, focus on narratives and why people share what they do.
痴迷于衡量单个帖子的准确性是错误的。为了加强信息生态系统,重点关注叙述以及人们为什么分享他们所做的事情。
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引用次数: 4
How Science Gets Drawn Into Global Conspiracy Narratives 科学如何被卷入全球阴谋叙事
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/pozr1536
M. Tuters, Tom Willaert, Trisha Meyer
A few short years ago, mRNA (messenger ribonucleic acid) was the subject of fundamental research, but it is now known as the basis for COVID-19 vaccines. At the same time, the concept has become linked—particularly on social media—to global conspiracy theories attributing nefarious motives to people associated with science. How did this happen? In our work, we use social media data to track evolving narratives empirically. By analyzing the terms that have become associated with mRNA on Twitter since early 2020, we have gained insight into how seemingly innocuous scientific concepts acquire sinister connotations through association. Understanding how this process occurs can be helpful in determining which countermeasures might be effective. Hashtags are key to this analysis. Used to cross-link social media posts, hashtags generally consist of a word preceded by a pound symbol: #mRNA, for example. Hashtags make such concepts easier to find because they can be easily searched. By observing how hashtags co-occur over time, we learn how ideas are linked to each other on social media. This approach is useful for understanding the ways in which disparate concepts become related to evolving narratives. To find out how the term mRNA became connected to farflung conspiracy theories, we collected a sample of 87,000 tweets containing the hashtag #mRNA over the three-year period from early 2020 to the end of 2022. This allowed us to look at how mRNA was juxtaposed with other ideas on social media over that time. Our analysis looks at time continuously, but we’ve found it helpful to take “slices” from the dataset to highlight the way the narrative took shape and then shifted over time. We looked at where #mRNA occurred next to other hashtags, which gives a sense of how the term became connected to other ideas. We presented this data visually, displaying the connections as a network where each node represents a different hashtag and each edge represents the number of times two hashtags co-occur in our dataset. Starting with tweets using the hashtag #mRNA, this method allows us to see how sometimes unexpected semantic networks of associations can develop around ideas. Although co-occurring hashtags should not be taken as representing general discussions about mRNA, their changing patterns over time may offer insights into how issues may be hijacked and misinformation spread. In our first sample, from early 2020, the hashtags cooccurring with #mRNA were largely scientific or financial, reflecting prepandemic views. To make this network graph more readable, we “cleaned” the data, systematically removing all hashtag nodes above and below certain thresholds determined by number of connections. The distance between nodes indicates how often terms are used together in posts, and the size of the text reflects the sum of its connections. Thus, larger text shows terms that are highly interconnected. The color coding reflects which communities are involved, which is disco
短短几年前,mRNA(信使核糖核酸)是基础研究的主题,但现在它被称为新冠肺炎疫苗的基础。与此同时,这一概念已经与全球阴谋论联系在一起,尤其是在社交媒体上,这些阴谋论将邪恶动机归咎于与科学有关的人。这是怎么发生的?在我们的工作中,我们使用社交媒体数据来实证跟踪不断演变的叙事。通过分析自2020年初以来推特上与信使核糖核酸相关的术语,我们深入了解了看似无害的科学概念是如何通过关联获得险恶含义的。了解这一过程是如何发生的,有助于确定哪些对策可能有效。哈希标签是该分析的关键。用于交叉链接社交媒体帖子的标签通常由一个前面有磅符号的单词组成:例如,#mRNA。哈希标签使这些概念更容易找到,因为它们可以很容易地搜索。通过观察标签是如何随着时间的推移而共同出现的,我们了解了思想是如何在社交媒体上相互联系的。这种方法有助于理解不同概念与不断发展的叙事之间的关系。为了了解信使核糖核酸一词是如何与遥远的阴谋论联系在一起的,我们在2020年初至2022年底的三年时间里收集了87000条包含#信使核糖核酸标签的推文样本。这让我们能够看到在那段时间里,信使核糖核酸是如何与社交媒体上的其他想法并置的。我们的分析持续关注时间,但我们发现从数据集中提取“切片”来突出叙事的形成方式,然后随着时间的推移而变化,这很有帮助。我们观察了#mRNA在其他标签旁边的位置,这让我们了解了这个词是如何与其他想法联系在一起的。我们直观地展示了这些数据,将连接显示为一个网络,其中每个节点代表一个不同的标签,每个边代表两个标签在我们的数据集中同时出现的次数。从使用#mRNA标签的推文开始,这种方法可以让我们看到有时意想不到的联想语义网络是如何围绕想法发展的。尽管共存的标签不应被视为代表关于信使核糖核酸的一般性讨论,但它们随着时间的推移而变化的模式可能会让我们深入了解问题是如何被劫持和错误信息传播的。在我们的第一个样本中,从2020年初开始,与#mRNA共同出现的标签在很大程度上是科学或金融的,反映了疫情前的观点。为了使这个网络图更具可读性,我们“清理”了数据,系统地删除了所有高于和低于由连接数确定的特定阈值的标签节点。节点之间的距离表示术语在帖子中一起使用的频率,文本的大小反映其连接的总和。因此,较大的文本显示了高度互联的术语。颜色编码反映了哪些社区参与其中,这是通过检查连接的自动化过程发现的。第一张图描绘了一个由与科学术语相对应的标签组成的淡绿色社区,以及一个致力于讨论生物技术投资的灰色社区。这些数字使得研究围绕信使核糖核酸的叙述如何随着时间的推移而演变成为可能。随着疫苗的生产,与该术语相关的新语义网络迅速开始发展。人们不能简单地假设这种方法代表了社会上所有的观点,但它在MARC TUTERS、TOM WILLART和TRISHA MEYER实数中仍然很有帮助
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引用次数: 1
The Making of a Biosafety Officer 生物安全官员的培养
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/duxo9603
David R Gillum
Understanding how biosafety professionals generate knowledge on the job can help train skilled personnel and craft rules to keep communities safe.
了解生物安全专业人员如何在工作中产生知识,有助于培训技能人员和制定规则,以确保社区安全。
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引用次数: 1
Rumors Have Rules 谣言有规律
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/cxgl5395
Emma S. Spiro, Kate Starbird
Decades-old research about how and why people share rumors is even more relevant in a world with social media.
几十年来关于人们如何以及为什么分享谣言的研究,在一个有社交媒体的世界里更具相关性。
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引用次数: 1
“If we are simply creating techies who can only work with the technology, we’re in big trouble.” “如果我们只是在培养只会使用技术的技术人员,我们就有大麻烦了。”
IF 1.7 4区 工程技术 Q3 ENGINEERING, INDUSTRIAL Pub Date : 2023-04-01 DOI: 10.58875/xgeo4582
Freeman A. Hrabowski, Sara Frueh
Freeman Hrabowski III talks about the importance of the humanities, culture change at universities, and scientists’ involvement in civic life.
Freeman Hrabowski III谈到了人文学科、大学文化变革以及科学家参与公民生活的重要性。
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引用次数: 0
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