Public Understanding of Science is a fully peer reviewed international journal covering all aspects of the inter-relationships between science (including technology and medicine) and the public. Public Understanding of Science is the only journal to cover all aspects of the inter-relationships between science (including technology and medicine) and the public.    Topics Covered Include...    ·surveys of public understanding and attitudes towards science and technology    ·perceptions of science    ·popular representations of science    ·scientific and para-scientific belief systems    ·science in schools

Public Understanding of Science is a fully peer-reviewed international journal that covers all aspects of the inter-relationships between science (including technology and medicine) and the public. It is the only journal dedicated to exploring these inter-relationships comprehensively. Topics covered include surveys of public understanding and attitudes towards science and technology, perceptions of science, popular representations of science, scientific and para-scientific belief systems, and science education in schools.

《Public Understanding of Science》是一本经过严格同行评审的国际期刊，涵盖科学（包括技术和医学）与公众之间相互关系的各个方面。该期刊是唯一专注于科学（包括技术和医学）与公众之间所有相互关系的期刊。涵盖的主题包括：公众对科学和技术的理解与态度调查、对科学的认知、科学的流行表现、科学与伪科学信仰体系、以及学校中的科学教育等。

Public Understanding of Science

The governance of artificial intelligence (AI) is an urgent challenge that requires actions from three interdependent stakeholders: individual citizens, technology corporations, and governments. We conducted an online survey ( N = 525) of US adults to examine their beliefs about the governance responsibility of these stakeholders as a function of trust and AI ethics. Different dimensions of trust and different ethical concerns were associated with beliefs in governance responsibility of the three stakeholders. Specifically, belief in the governance responsibility of the government was associated with ethical concerns about AI, whereas belief in governance responsibility of corporations was related to both ethical concerns and trust in AI. Belief in governance responsibility of individuals was related to human-centered values of trust in AI and fairness. Overall, the findings point to the need for an interdependent framework in which citizens, corporations, and governments share governance responsibilities, guided by trust and ethics as the guardrails.

Prabu David

Hyesun Choung

John S. Seberger

Who is responsible? US Public perceptions of AI governance through the lenses of trust and ethics

谁来负责？美国公众通过信任和伦理视角对人工智能治理的看法

Applications in artificial intelligence such as self-driving cars may profoundly transform our society, yet emerging technologies are frequently faced with suspicion or even hostility. Meanwhile, public opinions about scientific issues are increasingly polarized along the ideological line. By analyzing a nationally representative panel in the United States, we reveal an emerging ideological divide in public reactions to self-driving cars. Compared with liberals and Democrats, conservatives and Republicans express more concern about autonomous vehicles and more support for restrictively regulating autonomous vehicles. This ideological gap is largely driven by social conservatism. Moreover, both familiarity with driverless vehicles and scientific literacy reduce respondents’ concerns over driverless vehicles and support for regulation policies. Still, the effects of familiarity and scientific literacy are weaker among social conservatives, indicating that people may assimilate new information in a biased manner that promotes their worldviews.

Yilang Peng

The ideological divide in public perceptions of self-driving cars

公众对自动驾驶汽车认知中的意识形态分歧

Public attitudes towards technology have been studied extensively for decades, but older people were not largely involved in early studies. In recent years, with the trend of digitalisation and the rapid growth of the older population around the world, the attitudes of older people towards emerging technologies have attracted the attention of researchers. This article is a systematic review of 83 relevant studies, to summarise the factors that impact older adults’ attitudes towards adopting and using technology. It is found that older people’s attitudes are influenced by their personal characteristics, technology-related factors and the social context of technology adoption. The complex relationship between older people and technology is interpreted by researchers with the framing of older people’s identity, the role of technology, the interaction of the above factors and the opportunity for older adults to act as co-designers.

Mengxi Zhang

Older people’s attitudes towards emerging technologies: A systematic literature review

老年人对新兴技术的态度：一项系统性文献综述

The present study investigates the Chinese public’s perception toward the widely adopted (and often accused of misuse) technology of face recognition. Through topic modeling and a social network analysis of 151,654 Weibo posts, we examine the “content dimension” and the “actor dimension” of civic discussions on facial recognition technology. Our results demonstrate that there is rising social concern and skepticism directed at the commercial use of this biodata-collected technology in China’s cyberspace, despite the state’s adoption, supervision, and regulation of facial recognition technology being broadly granted. Moreover, while our findings illustrate an extent of openness and equality within the public debates on facial recognition technology, they also show the Chinese government becoming an important “interlocutor” within the said debates, with discursive engagement from industry and academia largely marginalized. Drawing on the results, we suggest that further investigation into the formation of China’s scientific public sphere should be located within the broader context of China’s vision of a centrally planned digital economy.

Tianru Guan

Xiaotong Chen

The emerging scientific public sphere in China’s digital economy: Weibo discussions on facial recognition technology

中国数字经济中新兴的科学公共领域：微博上关于人脸识别技术的讨论

We examine stakeholder participation in the online debate on genetically modified organisms in China and assess how the debate has changed over time. Therefore, we compare messages posted between 2013 and 2020 on the Chinese microblog website Weibo by using discourse network analysis. Our findings reveal strong opposition to genetically modified crops, along with the existence of two competing coalitions of supporters and opponents. We further observe an increasing number of posts supporting genetically modified organisms by the public in recent years. Consequently, there is an indication that the positions of stakeholders have changed over time. We discuss the policy implications for China and draw conclusions for other countries.

Yan Jin

Simon Schaub

Jale Tosun

Justus Wesseler

Does China have a public debate on genetically modified organisms? A discourse network analysis of public debate on Weibo

中国是否存在关于转基因生物的公共辩论？基于微博的公共辩论话语网络分析

Carolina Moreno-Castro

Book Review: Bienvenido León <i>Grandes Comunicadores de la Ciencia: de Galileo a Rodríguez de la Fuente</i>

书评：比森维尼奥·莱昂《伟大的科学传播者：从伽利略到罗德里格斯·德拉富恩特》

Luisa Massarani

Danilo Magalhães

Public Underst Sci

When the future of science journalism looked bright: The first Ibero-American Congress of Science Journalism (Venezuela, 1974) and its role in strengthening the profession

当科学新闻的未来看起来光明时：第一届伊比利亚美洲科学新闻大会（委内瑞拉，1974年）及其在加强该职业中的作用

This study delves into the intricate relationships between attention to AI in news media, perceived AI explainability, trust in AI, and public support for autonomous passenger drones. Using structural equation modelling (

Justin C Cheung

Shirley S Ho

Explainable AI and trust: How news media shapes public support for AI-powered autonomous passenger drones

可解释的人工智能与信任：新闻媒体如何塑造公众对人工智能驱动的自主载客无人机的支持

Trust in science is crucial to resolving societal problems. Americans across political ideologies have high levels of trust in science—a stable pattern observed over the past 50 years. Yet, trust in science varies by individual and group characteristics and faces several threats, from political actors, increased political polarization, or global crises. We revisit historical trends of trust in science among Americans by political orientation. We find steadily diverging trends by political views since the 1990s, and a drastically and rapidly opening gap since 2018. Recent unprecedented changes are driven not only by decreases in trust among conservatives but also by increases among liberals. Existing theoretical accounts do not fully explain these patterns. Diverging attitudes toward the institution of science can diminish capacity for collective problem-solving, eroding the shared foundation for decision-making and political discourse.

Manjana Milkoreit

E. Keith Smith

Rapidly diverging public trust in science in the United States

美国公众对科学的信任迅速分化

Charnell Peters

1997: “Your genes, your choices” and public education about the ethical, legal and social issues of the Human Genome Project

1997: “你的基因，你的选择”与人类基因组计划伦理、法律和社会问题的公众教育

Abbreviation	Public Underst Sci
Journal Impact	3.56
Quartiles(Global)	HISTORY & PHILOSOPHY OF SCIENCE(Q1)

ISSN	0963-6625, 1361-6609
h-index	95
Top Journals	Yes

Publication Information	Publisher: SAGE Publications Ltd，Publishing cycle: ，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1992，Proportion of original research papers: 97.26%，Self Citation Rate:8.60%， Gold OA Rate: 30.24%

Public Understanding of Science

Journal Citation Format

A journal article with 1 author

A journal article with 2 authors

A journal article with 3 authors

A journal article with 5 or more authors

Books Citation Format

Thesis Citation Format

Web sites Citation Format

Patent Citation Format

Staying up late manually editing references? ivySCI automatically matches journals and helps you generate references with a single click.

Share Submission Experience