The Emergence of Science as a Political Brand

Newman, Todd P.

doi:10.1080/15377857.2019.1652225

Cited by 9 publications

(8 citation statements)

References 28 publications

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“…More recently, the Donald Trump administration’s perceived anti-science stance, along with its cuts to research funding, triggered resistance from scientists and science enthusiasts (Mervis, 2020; Newman, 2020). A series of mobilized science events occurred beginning in April 2017, known collectively as the “March for Science.” Dozens of scientists and academics organized the events in partnership with interest groups devoted to scientific advancements, including the American Association for the Advancement of Science (Wessel, 2017).…”

Section: Polarization Of Public Trustmentioning

confidence: 99%

“…More recently, the Donald Trump administration's perceived anti-science stance, along with its cuts to research funding, triggered resistance from scientists and science enthusiasts (Mervis, 2020;Newman, 2020). A series of mobilized science events occurred beginning in April 2017, known collectively as the "March for Science."…”

Section: Polarization Of Public Trustmentioning

confidence: 99%

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Polarization of public trust in scientists between 1978 and 2018

Qian

2021

Polit. life sci.

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The U.S. public’s trust in scientists reached a new high in 2019 despite the collision of science and politics witnessed by the country. This study examines the cross-decade shift in public trust in scientists by analyzing General Social Survey data (1978–2018) using interpretable machine learning algorithms. The results suggest a polarization of public trust as political ideology made an increasingly important contribution to predicting trust over time. Compared with previous decades, many conservatives started to lose trust in scientists completely between 2008 and 2018. Although the marginal importance of political ideology in contributing to trust was greater than that of party identification, it was secondary to that of education and race in 2018. We discuss the practical implications and lessons learned from using machine learning algorithms to examine public opinion trends.

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Section: Polarization Of Public Trustmentioning

confidence: 99%

Section: Polarization Of Public Trustmentioning

confidence: 99%

Polarization of public trust in scientists between 1978 and 2018

Qian

2021

Polit. life sci.

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“…Indeed, Newman (2019) highlighted there is limited insight into how political brands utilise 'science' and 'science related issues' as a means of differentiation and creation of political brand communities within the political environment of the United States of America. Furthermore, Newman (2019) demonstrated that the emergence of different typologies of political brands such as political brand communities and their use of 'science' as a unique selling point reinforced the importance of a clear, coherent identity. The use of the 'science brand' fused as part of a politician's or party's' identity may strengthen the levels of trust in the mind of citizens as this will enhance the authority and credibility of political brands (Newman 2019).…”

Section: Political Branding -Conceptualisations and Operationalisationmentioning

confidence: 99%

“…Furthermore, Newman (2019) demonstrated that the emergence of different typologies of political brands such as political brand communities and their use of 'science' as a unique selling point reinforced the importance of a clear, coherent identity. The use of the 'science brand' fused as part of a politician's or party's' identity may strengthen the levels of trust in the mind of citizens as this will enhance the authority and credibility of political brands (Newman 2019). This in turn reminds political marketers that strong political brands are supported and created by a collaborative community or wide ecosystem of stakeholders.…”

Section: Political Branding -Conceptualisations and Operationalisationmentioning

confidence: 99%

Evolution of Political Branding: Typologies, Diverse Settings and Future Research

Pich

Newman

2019

Journal of Political Marketing

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Political branding has developed into an established and vibrant sub-discipline of political marketing. Indeed, political branding research continues to push boundaries by critically applying consumer based branding theories, concepts and frameworks to the political environment. Recently, political branding scholars have segmented research into different categories such as corporate, candidate, leader, local-regional, internal or external in orientation. Despite this development, there continues to be limited research on alternative or different typologies of political brands. This study reaffirms political branding as a distinct area of research and discusses how political brands can be conceptualised and operationalised. Further, drawing on seven empirical and conceptual papers, which focus on different typologies of political brands from a range of international contexts including Canada, USA, Iceland, Indonesia and India, we reflect on the current political branding environment. We conclude that there are multiple relationships and numerous interconnected political brands, which represent an intricate environment or ecosystem. This study offers academics and political actors guidance on how to conceptualise political brands and provides a starting point to map out the ecosystems of political brands. Finally, this study provides explicit calls for further research in political branding.

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“…One of the more recent trends in the field has been the increased focus among both politicians and citizens on epistemic issues -such as facts, knowledge and truth -and, in particular, how this increasing focus creates new challenges and opportunities for political parties and politicians around the globe when communicating about complex issues, such as science and technology (Newman, 2020). This is definitely not the first time that these issues have emerged as a driving force in political campaigns, but with the current state of affairs we expect it will emerge as one of the most important research areas in the field in the future.…”

Section: Introductionmentioning

confidence: 99%