Considering the Role of “Need for Cognition” in Students’ Acceptance of Climate Change & Evolution

2015 ◽  
Vol 77 (4) ◽  
pp. 250-257 ◽  
Author(s):  
Jeremy Kudrna ◽  
Marta Shore ◽  
Deena Wassenberg
Keyword(s):  
Climate Change ◽  
Scientific Community ◽  
Public Discourse ◽  
Scientific Evidence ◽  
Need For Cognition ◽  
Evolutionary Mechanisms ◽  
The Public ◽  
Life On Earth ◽  
The Relationship

Anthropogenic climate change (ACC) and evolution are examples of issues that are perceived differently by scientists and the general public. Within the scientific community, there are clear consensuses that human activities are increasing global temperatures (ACC) and that evolutionary mechanisms have led to the biodiversity of life on Earth (evolution). However, there is much debate in the public discourse about the scientific evidence supporting these topics. The purpose of our study was to explore the relationship between a student’s need for cognition (NFC) – preference to engage in and enjoy thinking – and the student’s acceptance of ACC and evolution. The results revealed that students with a higher NFC were more accepting of both ACC and evolution. Future investigations should include evaluating the efficacy of different instructional techniques on NFC and acceptance of polarizing topics such as evolution and ACC.

Lay Detection of Unusual Patterns in the Frequency of Hurricanes

2020 ◽  
Vol 12 (3) ◽  
pp. 597-609 ◽  
Author(s):  
Rachel Dryden ◽  
M. Granger Morgan ◽  
Stephen Broomell
Keyword(s):  
Climate Change ◽  
Signal Detection Theory ◽  
Public Discourse ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
The Public ◽  
Weather Events ◽  
Hurricane Season ◽  
Future Work

AbstractAn increase in the severity of extreme weather is arguably one of the most important consequences of climate change with immediate and potentially devastating impacts. Recent events, like Hurricane Harvey, stimulated public discourse surrounding the role of climate change in amplifying, or otherwise modifying, the patterns of such events. Within the scientific community, recent years have witnessed considerable progress on “climate attribution”—the use of statistical techniques to assess the probability that climate change is influencing the character of some extreme weather events. Using a novel application of signal detection theory, this article assesses when, and to what extent, laypeople attribute changes in hurricanes to climate change and whether and how certain characteristics predict this decision. The results show that people attribute hurricanes to climate change based on their preexisting climate beliefs and numeracy. Respondents who were more dubious about the existence of climate change (and more numerate) required a greater degree of evidence (i.e., a more extreme world) before they were willing to suggest that an unusual hurricane season might be influenced by climate change. However, those who have doubts were still willing to make these attributions when hurricane behavior becomes sufficiently extreme. In general, members of the public who hold different prior views about climate change are not in complete disagreement about the evidence they perceive, which leaves the possibility for future work to explore ways to bring such judgments back into alignment.

scholarly journals A Simple Strategy to Communicate about Climate Attribution

2020 ◽  
Vol 101 (6) ◽  
pp. E949-E953
Author(s):  
Rachel Dryden ◽  
M. Granger Morgan
Keyword(s):  
Climate Change ◽  
Public Discourse ◽  
Public Understanding ◽  
Weather Extremes ◽  
The Public ◽  
Simple Strategy ◽  
Weather Forecasters ◽  
Weather And Climate ◽  
The Difference

Abstract Hurricane Harvey and other recent weather extremes stimulated extensive public discourse about the role of anthropogenic climate change in amplifying, or otherwise modifying, such events. In tandem, the scientific community has made considerable progress on statistical “climate attribution.” However, explaining these statistical methods to the public has posed challenges. Using appropriately designed “spinner boards,” we find that even members of the general public who do not understand the difference between weather and climate are readily able to understand basic concepts of attribution and explain those concepts to others. This includes both understanding and explaining the way in which the probability of an extreme weather event may increase as a result of climate change and explaining how the intensity of hurricanes can be increased. If properly developed and used by TV weather forecasters and news reporters, this method holds the potential to significantly improve public understanding of climate attribution.

scholarly journals Public Discourse Against Masks in the COVID-19 Era: Infodemiology Study of Twitter Data

10.2196/26780 ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e26780
Author(s):  
Mohammad Al-Ramahi ◽  
Ahmed Elnoshokaty ◽  
Omar El-Gayar ◽  
Tareq Nasralah ◽  
Abdullah Wahbeh
Keyword(s):  
Social Media ◽  
Public Perception ◽  
Public Discourse ◽  
Population Control ◽  
Scientific Evidence ◽  
Pearson Correlation ◽  
The United States ◽  
Machine Learning Techniques ◽  
The Public ◽  
The Relationship

Background Despite scientific evidence supporting the importance of wearing masks to curtail the spread of COVID-19, wearing masks has stirred up a significant debate particularly on social media. Objective This study aimed to investigate the topics associated with the public discourse against wearing masks in the United States. We also studied the relationship between the anti-mask discourse on social media and the number of new COVID-19 cases. Methods We collected a total of 51,170 English tweets between January 1, 2020, and October 27, 2020, by searching for hashtags against wearing masks. We used machine learning techniques to analyze the data collected. We investigated the relationship between the volume of tweets against mask-wearing and the daily volume of new COVID-19 cases using a Pearson correlation analysis between the two-time series. Results The results and analysis showed that social media could help identify important insights related to wearing masks. The results of topic mining identified 10 categories or themes of user concerns dominated by (1) constitutional rights and freedom of choice; (2) conspiracy theory, population control, and big pharma; and (3) fake news, fake numbers, and fake pandemic. Altogether, these three categories represent almost 65% of the volume of tweets against wearing masks. The relationship between the volume of tweets against wearing masks and newly reported COVID-19 cases depicted a strong correlation wherein the rise in the volume of negative tweets led the rise in the number of new cases by 9 days. Conclusions These findings demonstrated the potential of mining social media for understanding the public discourse about public health issues such as wearing masks during the COVID-19 pandemic. The results emphasized the relationship between the discourse on social media and the potential impact on real events such as changing the course of the pandemic. Policy makers are advised to proactively address public perception and work on shaping this perception through raising awareness, debunking negative sentiments, and prioritizing early policy intervention toward the most prevalent topics.

scholarly journals Public Discourse Against Masks in the COVID-19 Era: Infodemiology Study of Twitter Data (Preprint)

2020 ◽  
Author(s):  
Mohammad Al-Ramahi ◽  
Ahmed Elnoshokaty ◽  
Omar El-Gayar ◽  
Tareq Nasralah ◽  
Abdullah Wahbeh
Keyword(s):  
Social Media ◽  
Public Perception ◽  
Public Discourse ◽  
Population Control ◽  
Scientific Evidence ◽  
Pearson Correlation ◽  
The United States ◽  
Machine Learning Techniques ◽  
The Public ◽  
The Relationship

BACKGROUND Despite scientific evidence supporting the importance of wearing masks to curtail the spread of COVID-19, wearing masks has stirred up a significant debate particularly on social media. OBJECTIVE This study aimed to investigate the topics associated with the public discourse against wearing masks in the United States. We also studied the relationship between the anti-mask discourse on social media and the number of new COVID-19 cases. METHODS We collected a total of 51,170 English tweets between January 1, 2020, and October 27, 2020, by searching for hashtags against wearing masks. We used machine learning techniques to analyze the data collected. We investigated the relationship between the volume of tweets against mask-wearing and the daily volume of new COVID-19 cases using a Pearson correlation analysis between the two-time series. RESULTS The results and analysis showed that social media could help identify important insights related to wearing masks. The results of topic mining identified 10 categories or themes of user concerns dominated by (1) constitutional rights and freedom of choice; (2) conspiracy theory, population control, and big pharma; and (3) fake news, fake numbers, and fake pandemic. Altogether, these three categories represent almost 65% of the volume of tweets against wearing masks. The relationship between the volume of tweets against wearing masks and newly reported COVID-19 cases depicted a strong correlation wherein the rise in the volume of negative tweets led the rise in the number of new cases by 9 days. CONCLUSIONS These findings demonstrated the potential of mining social media for understanding the public discourse about public health issues such as wearing masks during the COVID-19 pandemic. The results emphasized the relationship between the discourse on social media and the potential impact on real events such as changing the course of the pandemic. Policy makers are advised to proactively address public perception and work on shaping this perception through raising awareness, debunking negative sentiments, and prioritizing early policy intervention toward the most prevalent topics.

Political Preferences, Personality Traits, and Environmentalism

2020 ◽  
Author(s):  
Alistair Soutter ◽  
René Mõttus
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Personality Traits ◽  
Public Discourse ◽  
Environmental Attitudes ◽  
Scientific Evidence ◽  
Political Orientation ◽  
Anthropogenic Climate Change ◽  
Political Preferences ◽  
Party Voting

Although the scientific evidence of anthropogenic climate change continues to grow, public discourse still reflects a high level of scepticism and political polarisation towards anthropogenic climate change. In this study (N = 499) we attempted to replicate and expand upon an earlier finding that environmental terminology (“climate change” versus “global warming”) could partly explain political polarisation in environmental scepticism (Schuldt, Konrath, & Schwarz, 2011). Participants completed a series of online questionnaires assessing personality traits, political preferences, belief in environmental phenomenon, and various pro-environmental attitudes and behaviours. Those with a Conservative political orientation and/or party voting believed less in both climate change and global warming compared to those with a Liberal orientation and/or party voting. Furthermore, there was an interaction between continuously measured political orientation, but not party voting, and question wording on beliefs in environmental phenomena. Personality traits did not confound these effects. Furthermore, continuously measured political orientation was associated with pro-environmental attitudes, after controlling for personality traits, age, gender, area lived in, income, and education. The personality domains of Openness, and Conscientiousness, were consistently associated with pro-environmental attitudes and behaviours, whereas Agreeableness was associated with pro-environmental attitudes but not with behaviours. This study highlights the importance of examining personality traits and political preferences together and suggests ways in which policy interventions can best be optimised to account for these individual differences.

The Fight Against Doubt

2018 ◽  
Author(s):  
Inmaculada de Melo-Martín ◽  
Kristen Intemann
Keyword(s):  
Climate Change ◽  
Scientific Community ◽  
Vaccine Safety ◽  
False Beliefs ◽  
Scientific Process ◽  
The Public ◽  
Scientific Consensus ◽  
Scientific Claims

Current debates about climate change or vaccine safety provide an alarming illustration of the potential impacts of dissent about scientific claims. False beliefs about evidence and the conclusions that can be drawn from it are commonplace, as is corrosive doubt about the existence of widespread scientific consensus. Deployed aggressively and to political ends, ill-founded dissent can intimidate scientists, stymie research, and lead both the public and policymakers to oppose important policies firmly rooted in science. To criticize dissent is, however, a fraught exercise. Skepticism and fearless debate are key to the scientific process, making it both vital and incredibly difficult to characterize and identify dissent that is problematic in its approach and consequences. Indeed, as de Melo-Martín and Intemann show, the criteria commonly proposed as means of identifying inappropriate dissent are flawed, and the strategies generally recommended to tackle such dissent are not only ineffective but could even make the situation worse. The Fight against Doubt proposes that progress on this front can best be achieved by enhancing the trustworthiness of the scientific community and being more realistic about the limits of science when it comes to policymaking. It shows that a richer understanding is needed of the context in which science operates so as to disarm problematic dissent and those who deploy it in the pursuit of their goals.

scholarly journals Climate Change Inaction and Optimism

Philosophies ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 61
Author(s):  
Philip J. Wilson
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Collective Action ◽  
Public Discourse ◽  
Collective Action Problem ◽  
The Public ◽  
Policy Context ◽  
Positive Action ◽  
Ideological Fantasy

The problem of climate change inaction is sometimes said to be ‘wicked’, or essentially insoluble, and it has also been seen as a collective action problem, which is correct but inconsequential. In the absence of progress, much is made of various frailties of the public, hence the need for an optimistic tone in public discourse to overcome fatalism and encourage positive action. This argument is immaterial without meaningful action in the first place, and to favour what amounts to the suppression of truth over intellectual openness is in any case disreputable. ‘Optimism’ is also vexed in this context, often having been opposed to the sombre mood of environmentalists by advocates of economic growth. The greater mental impediments are ideological fantasy, which is blind to the contradictions in public discourse, and the misapprehension that if optimism is appropriate in one social or policy context it must be appropriate in others. Optimism, far from spurring climate change action, fosters inaction.

Public perceptions of who counts as a scientist for controversial science

2019 ◽  
Vol 28 (7) ◽  
pp. 797-811 ◽  
Author(s):  
Brianne Suldovsky ◽  
Asheley Landrum ◽  
Natalie Jomini Stroud
Keyword(s):  
Climate Change ◽  
Media Coverage ◽  
Political Ideology ◽  
Genetically Modified Organisms ◽  
The United States ◽  
Public Perceptions ◽  
The Public ◽  
The Us ◽  
Science Media

In an era where expertise is increasingly critiqued, this study draws from the research on expertise and scientist stereotyping to explore who the public considers to be a scientist in the context of media coverage about climate change and genetically modified organisms. Using survey data from the United States, we find that political ideology and science knowledge affect who the US public believes is a scientist in these domains. Our results suggest important differences in the role of science media attention and science media selection in the publics “scientist” labeling. In addition, we replicate previous work and find that compared to other people who work in science, those with PhDs in Biology and Chemistry are most commonly seen as scientists.

scholarly journals Introduction: Publics and Participation in Early Modern Britain

2017 ◽  
Vol 56 (4) ◽  
pp. 709-730 ◽  
Author(s):  
Laura A. M. Stewart
Keyword(s):  
Early Modern ◽  
Public Discourse ◽  
Cultural Exchange ◽  
The Public ◽  
Cultural Boundaries ◽  
Modern Britain ◽  
Institutional Variation ◽  
The Public Sphere ◽  
Important Shift

AbstractThe deconstruction of what is termed “the public sphere” in recent decades has resulted in an important shift in scholarly attention towards networks and forms of association. This article explores how greater sensitivity to the unstable and ephemeral nature of “publics,” combined with a stronger awareness of the role of cultural exchange, has undoubtedly enriched our understanding of early modern politics. Some analytical precision has, nonetheless, been lost. A justifiable emphasis on the artificiality of the territorial borders that have defined units of enquiry has occurred at the expense of deeper consideration of the cultural boundaries that dictated the terms on which people could participate in and shape public discourse. Study of the British archipelago can offer new ways of thinking about these problems. Linguistic and ethnic differences, the search for religious concord as well as the reality of confessional division, institutional variation, and the consequences of London's increasing dominance of the archipelago, are key facets of the reassessments undertaken here. The article concludes by reflecting on how interactions between varieties of “public” and other forms of association can nuance our understanding of early modern state formation.

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