In this paper, we use the concept of consequential learning to frame our exploration of what makes learning and doing science matter for youth from nondominant communities, as well as the barriers these youth must confront in working toward consequential ends. Data are derived from multimodal cases authored by four females from nondominant communities that present an account of 'science that matters' from their work during their middle school years. We argue that consequential learning in science for these girls involves engaging science with a commitment to their community. This form of
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TEAM MEMBERS:
Daniel BirminghamAngela Calabrese BartonAutumn McDanielJalah JonesCamryn TurnerAngel Roberts
This editorial provides an overview of the Journal of Science Communication, volume 16, issue 5. This issue of JCOM explores the question ‘what works in science communication?’ from a variety of angles, as well as focusing on the politically sensitive topic of climate change. In addition, the issue contains a set of commentaries that explore the sometimes conflicting roles of universities in science communication.
In this paper, we respond to the critiques presented by [Kahan, 2017]. Contrary to claims that the scientific consensus message did not significantly influence the key mediator and outcome variables in our model, we show that the experiment in [van der Linden et al., 2015] did in fact directly influence key beliefs about climate change. We also clarify that the Gateway Belief Model (GBM) is theoretically well-specified, empirically sound, and as hypothesized, the consensus message exerts a significant indirect influence on support for public action through the mediating variables. We support
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TEAM MEMBERS:
Sander van der LindenAnthony LeiserowitzEdward Maibach
This paper analyzes data collected but not reported in the study featured in van der Linden, Leiserowitz, Feinberg, and Maibach [van der Linden et al., 2015]. VLFM report finding that a “scientific consensus” message “increased” experiment subjects' “key beliefs about climate change” and “in turn” their “support for public action” to mitigate it. However, VLFM fail to report that message-exposed subjects' “beliefs about climate change” and “support for public action” did not vary significantly, in statistical or practical terms, from those of a message-unexposed control group. The paper also
Research suggests non-experts associate different content with the terms “global warming” and “climate change.” We test this claim with Twitter content using supervised learning software to categorize tweets by topic and explore differences between content using “global warming” and “climate change” between 1 January 2012 and 31 March 2014. Twitter data were combined with temperature records to observe the extent to which temperature was associated with Twitter discussions. We then used two case studies to examine the relationship between extreme temperature events and Twitter content. Our
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TEAM MEMBERS:
Sara YeoZachary HandlosAlexandra KarambelasLeona Yi-Fan SuKathleen RoseDominique BrossardKyle Griffin
How users discuss climate change online is one of the crucial questions (science) communication scholars address nowadays. This study contributes by approaching the issue through the theoretical concept of online public arenas. The diversity of topics and perceptions in the climate change discourse is explored by comparing different arenas. German journalistic articles and their reader comments as well as scientific expert blogs are analyzed by quantitative manual and automated content analysis (n=5,301). Findings demonstrate a larger diversity of topics and interpretations in arenas with low
This article proposes a classification of the current differences between online videos produced specifically for television and online videos produced for the Internet, based on online audiovisual production on climate change. The classification, which consists of 18 formats divided into two groups that allow comparisons to be made between television and web formats, was created through the quantitative and qualitative content analysis of a sample of 300 videos. The findings show that online video's capacity to generate visits is greater when it has been designed to be broadcast on the
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TEAM MEMBERS:
Alicia de Lara GonzalezJose Garcia-AvilesGema Revuelta
Citizen science continues to grow, potentially increasing competition among projects to recruit and retain volunteers interested in participating. Using web analytics, we examined the ability of a marketing campaign to broaden project awareness, while driving engagement and retention in an online, crowdsourced project. The campaign challenged audiences to support the classification of >9,000 pairs of images. The campaign was successful due to increased engagement, but it did not increase the time participants spent classifying images. Engagement over multiple days was significantly shorter
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TEAM MEMBERS:
Alycia CrallMargaret KosmalaRebecca ChengJonathan BrierDarlene CavalierSandra HendersonAndrew Richardson