Search

This essay advocates for a transformative, community-centric approach to science communication, promoting inclusivity and recognizing the impact of lived experiences. We challenge the prevalent population-centric approach and underscore the importance of engaging persistently marginalized communities, notably Black Americans. Drawing from health communication literature, we unveil a comprehensive project aimed at understanding Black Americans' experiences and perspectives on science. [ABSTRACT FROM AUTHOR]

The careful choice of tactics—such as specific messages, styles, channels, or sources—is how strategic science communicators ensure that the time and money going into communication results in intended changes to chosen audiences' beliefs, feelings, and frames, as well as associated behaviors. Using a sample of scientists from American research universities (N = 516), we assess scientists' willingness to use 11 different communication tactics and the relationship between these tactics and potential predictors. We find that scientists are open to a range of communication tactics. Practical and theoretical implications for science communication are discussed. [ABSTRACT FROM AUTHOR]

This article seeks to explain how science has emerged as political brand. While science and politics have intersected for centuries, more recent social, cultural, and political events led to increased attention to the role of science in everyday life and how science is used in policy decision-making. This led to a tipping point in 2017 when the March for Science was formed, following what many in the U.S. and countries around the world viewed as anti-science stances by political leaders. The political spectacle of the March for Science not only brought increased attention to the scientific community, but also emerged to define the brand of science in society. Drawing on research from the role of brands in consumer culture – including political marketing, brand resonance, and brand community – I describe the implications of the science brand for the scientific enterprise, and the ways in which the scientific community consider the strategic communication of their brand within the political marketplace. [ABSTRACT FROM AUTHOR]

The associations between social and psychological influences and environmental attitudes, intentions and behavior have generated considerable interest, both in the fields of environmental behavior and of environmental education. We use the 2010 General Social Survey (GSS) to study these associations and expand the scope of earlier studies by including additional measures across social demographic, social psychological and behavioral blocks. The findings highlight the relationships between social psychological constructs and environmental concern and behavior, as well as the relationships between social demographic characteristics and environmental values and beliefs. The findings from this study will be useful to environmental educators and communicators interested in studying the social psychological and social demographic bases of environmental concern and behavior. [ABSTRACT FROM PUBLISHER]

The use of artificial intelligence-based algorithms for the curation of news content by social media platforms like Facebook and Twitter has upended the gatekeeping role long held by traditional news outlets. This has caused some US policymakers to argue that platforms are skewing news diets against them, and such claims are beginning to take hold among some voters. In a nationally representative survey experiment, we explore whether traditional models of media bias perceptions extend to beliefs about algorithmic news bias. We find that partisan cues effectively shape individuals' attitudes about algorithmic news bias but have asymmetrical effects. Specifically, whereas in-group directional partisan cues stimulate bias perceptions for members of both parties, Democrats, but not Republicans, also respond to out-group cues. We conclude with a discussion about the implications for the formation of attitudes about new technologies and the potential for polarization. [ABSTRACT FROM AUTHOR]

Past research on the relationship between scientists' normative beliefs about public engagement in the context of willingness to engage could prove misleading if respondents do not consider the impacts of engagement activities when responding to survey questions. This study asks scientists to report normative beliefs in the context of engagement impacts and explores correlations between these responses and engagement willingness. Results suggest mentioning positive societal impact positively affects normative beliefs, while mentioning lost research time negatively affects normative beliefs. However, changing the measurement context does not affect the non-relationship between normative beliefs and engagement willingness. [ABSTRACT FROM AUTHOR]

This article investigates the impact science communication training has on engagement intentions through a parallel multiple mediation model. Theory of planned behavior variables for internal efficacy, response efficacy, norms, and attitudes are examined as potential mediators. Based on a survey of randomly selected scientists from universities in the Association of American Universities, results indicate indirect effects for internal efficacy and attitudes toward the audience and consistent direct effects found in earlier research. This research provides a more comprehensive examination of how communication training contributes to scientists' public engagement activity. [ABSTRACT FROM AUTHOR]

Using data from a nationally representative survey of U.S. adults, this study explores how trust in key actors to responsibly manage artificial intelligence (AI) develops among members of the U.S. population and how trust, along with other key factors, shapes public attitudes toward AI. Greater trust is linked to stronger support for AI, both directly and indirectly (through risk and benefit perceptions). Furthermore, the strength or direction of the link between trust and support—as well as media diets and trust—differs significantly for liberals and conservatives, suggesting that Americans are indeed beginning to process AI-related information through a political lens. [ABSTRACT FROM AUTHOR]

Effective public engagement with complex technologies requires a nuanced understanding of how different audiences make sense of and communicate disruptive technologies with immense social implications. Using latent class analysis (LCA) on nationally-representative survey data (N = 2,700), we examine public attitudes on different aspects of AI, and segment the U.S. population based on their AI-related risk and benefit perceptions. Our analysis reveals five segments: the negative , perceiving risks outweighing benefits; the ambivalent , seeing high risks and benefits; the tepid , perceiving slightly more benefits than risks; the ambiguous , perceiving moderate risks and benefits; and the indifferent , perceiving low risks and benefits. For societal debates surrounding a deeply disruptive issue like AI, our findings suggest potential opportunities for engagement by soliciting input from individuals in segments with varying levels of support for AI, as well as a way to widen representation of voices and ensure responsible innovation of AI. • We classify Americans' AI perceptions into five segments: negative, ambivalent, tepid, ambiguous, and indifferent classes. • Views of AI vary both by the level of news attention and the content audiences attend to. • The negative and the ambivalent classes largely differ in support for AI, but agree that their voices should be heard. • The indifferent and the ambiguous classes include more minorities who may be disproportionately affected by AI. • Now is a great time to engage with the publics on issues related to AI because it is not overtly politicized. [ABSTRACT FROM AUTHOR]