| Literature DB >> 29662248 |
Jeffrey A Harvey1, Daphne van den Berg2, Jacintha Ellers2, Remko Kampen3, Thomas W Crowther4, Peter Roessingh5, Bart Verheggen6, Rascha J M Nuijten7, Eric Post8, Stephan Lewandowsky9, Ian Stirling10, Meena Balgopal11, Steven C Amstrup12, Michael E Mann13.
Abstract
Increasing surface temperatures, Arctic sea-ice loss, and other evidence of anthropogenic global warming (AGW) are acknowledged by every major scientific organization in the world. However, there is a wide gap between this broad scientific consensus and public opinion. Internet blogs have strongly contributed to this consensus gap by fomenting misunderstandings of AGW causes and consequences. Polar bears (Ursus maritimus) have become a "poster species" for AGW, making them a target of those denying AGW evidence. Here, focusing on Arctic sea ice and polar bears, we show that blogs that deny or downplay AGW disregard the overwhelming scientific evidence of Arctic sea-ice loss and polar bear vulnerability. By denying the impacts of AGW on polar bears, bloggers aim to cast doubt on other established ecological consequences of AGW, aggravating the consensus gap. To counter misinformation and reduce this gap, scientists should directly engage the public in the media and blogosphere.Entities:
Keywords: advocacy; communication; contrarian; global warming; skeptic; social media
Year: 2017 PMID: 29662248 PMCID: PMC5894087 DOI: 10.1093/biosci/bix133
Source DB: PubMed Journal: Bioscience ISSN: 0006-3568 Impact factor: 8.589
Figure 1.Pie charts showing the percentage of 45 science-based and 45 denier blogs expressing opinions on the effects of AGW on Arctic ice extent and, in turn, on polar bears. “Statements” refers to the cumulative number of hits for each of the three statements about Arctic ice extent and polar-bear status for the blogs included in this study. The blogs were color-coded using a cluster analysis (Manhattan distances and Ward's clustering) that yielded two large clusters.
Figure 2.Principle component analysis of scores for six statements, three about Arctic ice and three about about polar bears, and citations of Susan Crockford. Scores were extracted from 90 blogs and 92 peer reviewed scientific papers. The blogs were color-coded according the their group in a cluster analysis using Manhattan distances and Ward's clustering. The papers were classified as controversial when they evoked critical comments and discussion in the peer-reviewed literature. The ellipses around the data points indicate 95% normal probability. The first PCA axis clearly shows the consensus gap, with fully separated positions for the scientific literature and blogs that deny problems with Arctic ice or polar bears. Science-based blogs, on the other hand, take positions that completely overlap with the peer-reviewed literature. Note that even the small number of more “controversial” scientific papers still exhibit less extreme positions on the first axis than those expressed in the majority of denial blogs. The second PCA axis represents a much smaller amount of variation that appears to represent the presumed adaptive potential of the bears.