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1.
Public perceptions of climate change are traditionally measured through surveys. The exploding popularity of social networks, however, presents a new opportunity to research the spatiotemporal pattern of public discourse in relation to natural and/or socio-economic events. Among the social networks, Twitter is one of the largest microblogging services. The architecture of Twitter makes the question “what's happening?” the cornerstone of information exchange. This inspired the notion of using Twitter users as distributed sensors, which has been successfully employed in both the natural and social sciences. In 2012 and 2013, we collected 1.8 million tweets on “climate change” and “global warming” in five major languages (English, German, Russian, Portuguese, and Spanish). We discuss the geography of tweeting, weekly and daily patterns, major news events that affected tweeting on climate change, changes in the central topics of discussion over time, the most authoritative traditional media, blogging, and the most authoritative organizational sources of information on climate change referenced by Twitter users in different countries. We anticipate that social network mining will become a major source of data in the public discourse on climate change.  相似文献   

2.
Public opinion in the United States about human-caused climate change has varied over the past 20 years, despite an increasing consensus about the issue in the expert community. Attitudes about climate change have been attributed to a number of factors including personal values, political ideology, the media environment and personal experience. Recent studies have found evidence that the temperature can influence one’s opinion about climate change and willingness to change behaviour and/or support climate policy. Although there is some evidence that individual cool or warm years have influenced large-scale opinion about climate change, the extent to which temperature can explain the past variability in public opinion and public discourse about climate change at the national level is not known. Here we isolate the relationship between opinion about climate change and temperature at the national scale, using data from opinion polls, a discourse analysis of opinion articles from five major daily newspapers, and a national air temperature database. The fraction of respondents to national polls who express “belief in” or “worry about” climate change is found to be significantly correlated to U.S. mean temperature anomalies over the previous 3–12 months. In addition, the fraction of editorial and opinion articles which “agree” with the expert consensus on climate change is also found to be significantly correlated to U.S. mean temperature anomalies at seasonal and annual scales. These results suggest that a fraction of the past variance in American views about climate change could potentially be explained by climate variability.  相似文献   

3.
Variability in local weather patterns has long been suggested as a major barrier impeding laypeople from recognizing long-term climate trends. However, as humans are able to detect and interpret rapid signal fluctuations, it seems psychologically plausible to assume that they are able to integrate short-term variations of weather variables into their mental representations of climate change. Using a combined analysis of social media and weather station data, here we investigated the impact of the short-term volatility of local temperature on climate change-related tweets from 2014 to 2017. We found a nonlinear hockey stick relationship between weekly temperature volatility and climate change-related tweets, a volatility rise of 1 °C corresponds to an 82% increase in climate change tweets when volatility is above 3.5 °C. This volatility effect was observed from 2016 onwards, suggesting a recent change in people’s mental representations of climate change. This study provides empirical evidence illustrating that in the public mind, climate change may not be represented as a mere temperature increase any more, but as a disruption of the climate system in general.  相似文献   

4.
When extreme weather events occur, people often turn to social media platforms to share information, opinions and experiences. One of the topics commonly discussed is the role climate change may or may not have played in influencing an event. Here, we examine Twitter posts that mentioned climate change in the context of three high-magnitude extreme weather events – Hurricane Irene, Hurricane Sandy and Snowstorm Jonas – in order to assess how the framing of the topic and the attention paid to it can vary between events. We also examine the role that contextual factors can play in shaping climate change coverage on the platform. We find that criticism of climate change denial dominated during Irene, while political and ideological struggle frames dominated during Sandy. Discourse during Jonas was, in contrast, more divided between posts about the scientific links between climate change and the events, and posts contesting climate science in general. The focus on political and ideological struggle frames during Sandy reflects the event’s occurrence at a time when the Occupy movement was active and the 2012 US Presidential Election was nearing. These factors, we suggest, could also contribute to climate change being a more prominent discussion point during Sandy than during Irene or Jonas. The Jonas frames, meanwhile, hint at lesser public understanding of how climate change may influence cold weather events when compared with tropical storms. Overall, our findings demonstrate how event characteristics and short-term socio-political context can play a critical role in determining the lenses through which climate change is viewed.  相似文献   

5.
Action to tackle the complex and divisive issue of climate change will be strongly influenced by public perception. Online social media and associated social networks are an increasingly important forum for public debate and are known to influence individual attitudes and behaviours – yet online discussions and social networks related to climate change are not well understood. Here we construct several forms of social network for users communicating about climate change on the popular microblogging platform Twitter. We classify user attitudes to climate change based on message content and find that social networks are characterised by strong attitude-based homophily and segregation into polarised “sceptic” and “activist” groups. Most users interact only with like-minded others, in communities dominated by a single view. However, we also find mixed-attitude communities in which sceptics and activists frequently interact. Messages between like-minded users typically carry positive sentiment, while messages between sceptics and activists carry negative sentiment. We identify a number of general patterns in user behaviours relating to engagement with alternative views. Users who express negative sentiment are themselves the target of negativity. Users in mixed-attitude communities are less likely to hold a strongly polarised view, but more likely to express negative sentiment towards other users with differing views. Overall, social media discussions of climate change often occur within polarising “echo chambers”, but also within “open forums”, mixed-attitude communities that reduce polarisation and stimulate debate. Our results have implications for public engagement with this important global challenge.  相似文献   

6.
Scientists can now connect extreme weather events with climate change using a methodology known as “extreme event attribution”, or EEA. The idea of connecting climate change and extreme weather has long been heralded as a panacea for communications, connecting the dangers of climate change to real-world, on-the-ground events. However, event attribution remains a nascent science, and attribution studies of the same event can sometimes produce divergent answers due to precise methodology used, variables examined, and the timescale selected for the event. The 2011–2017 California drought was assessed by 11 EEA studies which came to varying conclusions on its connection to climate change. This article uses the case study of the drought and a multi-methods approach to examine perceptions of EEA among key stakeholders and citizens. Twenty-five key informant interviews were conducted with different stakeholders: scientists performing EEA research, journalists, local and state-level policymakers, and non-governmental organization representatives. In addition, two focus groups with 20 California citizens were convened: one with environmentalists and another with agriculturalists. While climate change was viewed by many as a mild contributing factor to the California drought, many stakeholders had not heard of EEA or doubted that scientists could conclusively link the drought to anthropogenic climate change; those that were familiar with EEA felt that the science was generally uncertain. In the focus groups, presentation of divergent EEA results led participants to revert to pre-existing ideas about the drought-climate connection, or to question whether science had sufficiently advanced to analyze the event properly. These results indicate that while EEA continues to provoke interest and research in the scientific community, it is not currently utilized by many stakeholders, and may entrench the public in pre-existing views.  相似文献   

7.
Cited are the latest data on the contemporary climate changes in surface air temperature (to the year 2011 inclusive). Substantiated is the necessity of extending the concept on the normals and anomalies of surface air temperature under conditions of the changing climate. Formulated is a concept of “dynamic normals” and “dynamic anomalies” of surface air temperature taking account of current trends of climate change and interseasonal variations. It is proposed to adopt this concept both for the problems of forthcoming climate change assessments and for the long-range forecasting out of the “limit of predictability.” An adaptive regression method is proposed to compute such dynamic normals as a function of the indicator of global climate changes. Presented are the skill scores of dynamic normals as of “intermediate” forecasts (an analogue of the climate forecast under a changing climate).  相似文献   

8.
This article documents the use of tipping points in climate change discourse to discuss their significance. We review the relevant literature, and discuss the popular emergence of tipping points before their adoption in climate change discourse. We describe the tipping point trend in mainstream US and UK print news media and in the primary scientific literature on climate change by replicating the methodologies of Oreskes [Oreskes, N., 2004. The scientific consensus on climate change. Nature 306, 1686] and Boykoff and Boykoff [Boykoff, M.T., Boykoff, J.M., 2004. Balance as bias: global warming and the US prestige press. Global Environmental Change 14, 125–136]. We then discuss the significance of climate change tipping points and their popular use in terms of generative metaphor.  相似文献   

9.
Annual and seasonal series of temperature values are analyzed using the data of Akhty, Teberda, and Terskol weather stations (the height above the sea level is >1000 m) for 1961-2013 as well as from 1976 to 2013 in order to reveal changes in the mountain climate in the period of contemporary global warming. Mean values, standard deviations, norms, and anomalies of annual and seasonal values of temperature as well as the rate of their variation in the mentioned periods are obtained. It is found that the temperature rise is observed in all seasons and for the year as a whole at the mountain weather stations except Terskol station. According to the results of studying temperature variability, Akhty and Teberda weather stations were united into the group “mountain weather stations” with the subsequent averaging of climatic variables. Terskol weather station was singled out as an independent high-mountain weather station.  相似文献   

10.
Two studies examine the effects of temperature anomalies (relative to ten-year averages) on interest in and support for climate policies. Study 1 analyzes the impacts of local temperature anomalies on information acquisition, namely Google searches, about climate change and climate policies. We find strong evidence that temperature anomalies are associated with increased climate change information acquisition. Our results show that deviations from seasonal norms in both directions (i.e., temperatures higher or lower than expected) predict increased interest. Study 2 analyzes voting for Republican candidates, who in the timeframe of our data were not likely to support climate policies. Analysis of voting records from ten US midterm elections from 2002 to 2020 shows that greater local temperature anomalies are significantly associated with lower vote shares for Republican candidates.  相似文献   

11.
Gary Yohe 《Climatic change》2010,99(1-2):295-302
Article 2 of the United Nations Framework Convention on Climate Change commits its parties to stabilizing greenhouse gas concentrations in the atmosphere at a level that “would prevent dangerous anthropogenic interference with the climate system.” Authors of the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC 2001a, b) offered some insight into what negotiators might consider dangerous by highlighting five “reasons for concern” (RFC’s) and tracking concern against changes in global mean temperature; they illustrated their assessments in the now iconic “burning embers” diagram. The Fourth Assessment Report reaffirmed the value of plotting RFC’s against temperature change (IPCC 2007a, b), and Smith et al. (2009) produced an unpated embers visualization for the globe. This paper applies the same assessment and communication strategies to calibrate the comparable RFC’s for the United States. It adds “National Security Concern” as a sixth RFC because many now see changes in the intensity and/or frequency of extreme events around the world as “risk enhancers” that deserve attention at the highest levels of the US policy and research communities. The US embers portrayed here suggest that: (1) US policy-makers will not discover anything really “dangerous” over the near to medium term if they consider only economic impacts that are aggregated across the entire country but that (2) they could easily uncover “dangerous anthropogenic interference with the climate system” by focusing their attention on changes in the intensities, frequencies, and regional distributions of extreme weather events driven by climate change.  相似文献   

12.
Social surveys suggest that the American public's concern about climate change has declined dramatically since 2008. This has led to a search for explanations for this decline, and great deal of speculation that there has been a fundamental shift in public trust in climate science. We evaluate over thirty years of public opinion data about global warming and the environment, and suggest that the decline in belief about climate change is most likely driven by the economic insecurity caused by the Great Recession. Evidence from European nations further supports an economic explanation for changing public opinion. The pattern is consistent with more than forty years of public opinion about environmental policy. Popular alternative explanations for declining support – partisan politicization, biased media coverage, fluctuations in short-term weather conditions – are unable to explain the suddenness and timing of opinion trends. The implication of these findings is that the “crisis of confidence” in climate change will likely rebound after labor market conditions improve, but not until then.  相似文献   

13.
14.
Mapping the shadow of experience of extreme weather events   总被引:1,自引:1,他引:0  
Climate change will increase the frequency and/or intensity of certain extreme weather events, and perceived experience with extreme weather may influence climate change beliefs, attitudes, and behaviors. However, the aspects of extreme events that influence whether or not people perceive that they have personally experienced them remain unclear. We investigate (1) the correspondence of reported experience of extreme weather events with documented events, and (2) how characteristics of different extreme events shape the geographic area within which people are likely to report they have experienced it—the event’s perceived “shadow of experience.” We overlay geocoded survey responses indicating personal experience with hurricanes, tornadoes, and drought—from a 2012 nationally representative survey (N?=?1,008) of U.S. residents—on maps of recorded event impacts. We find that reported experiences correspond well with recorded event impacts, particularly for hurricanes and tornadoes. Reported experiences were related to event type, proximity, magnitude and duration. The results suggest locations where disaster preparedness efforts and climate change education campaigns could be most effective after an extreme weather event.  相似文献   

15.
Although virtually all experts agree that CO2 emissions are causing anthropogenic global warming, public discourse is replete with contrarian claims that either deny that global warming is happening or dispute a human influence. Although the rejection of climate science is known to be driven by ideological, psychological, and political factors rather than scientific disagreement, contrarian views have considerable prominence in the media. A better understanding of contrarian discourse is therefore called for. We report a blind expert test of contrarian claims about climatological variables. Expert economists and statisticians were presented with representative contrarian statements (e.g., “Arctic ice is recovering”) translated into an economic or demographic context. In that blind test, contrarian claims were found to be misleading. By contrast, mainstream scientific interpretations of the data were judged to be accurate and policy relevant. The results imply that media inclusion of contrarian statements may increase bias rather than balance.  相似文献   

16.
Warmer, drier summer weather brought by global climate change should encourage use of outdoor leisure facilities. Yet few studies assess the effect of current weather and climate conditions upon visits to leisure attractions. Statistical time series models are used to analyse the short-run impact of weather and the long-run impact of climate upon visits to Chester Zoo, England. Temperature has a non-linear effect on visit levels. Daily visits rise with temperature up to a threshold around 21 °C. Thereafter visitor numbers drop on hot days. Visits are redistributed over time in accordance with the weather. Visitors discouraged by rainy weather one day turn up later when the weather improves. Otherwise, visitor behaviour is mainly influenced by the annual rhythm of the year and the pattern of public and school holidays. Out-of-sample tests suggest almost 70 % of the variation in visit levels can be explained by the combination of weather and time of year. Climate change is likely to redistribute visitors across the year. But it does not follow that “summer” visitor behaviour will transfer to spring and autumn. Day length, existing patterns of human activity and availability of leisure time constrain visit levels regardless of better weather. The main implication of potential climate change is the need for physical adaptation of the tourist environment as temperatures rise and rainfall diminishes in summer.  相似文献   

17.
自20世纪90年代IPCC提出协同效益概念以来,大量研究充分证实了温室气体减排政策、措施能产生可观的局地生态环境质量和健康效益。相应地,既有研究也证实局地大气污染物减排政策、措施对温室气体减排同样具有协同效益。中国进入工业化成熟期不久,局地大气污染压力即达到峰值,又迎头遭遇国际应对气候变化浪潮,同时面临空气污染物与温室气体双重减排压力。因此,国内研究不仅关注“由碳及污”或“由污及碳”的单向协同效益评估,更加重视对综合减排措施的协同效益评价。21世纪初,美国国家环保局提出的温室气体与局地大气污染物协同控制概念在中国得到更为广泛的欢迎和接受,并由中国学者首先定义了协同控制的内涵,认为协同控制是实现最大化协同效益的手段和途径。这一进展将人们对协同效益的认识提升到“全球视野、局地行动”的新高度,推动人们从被动地接受“协同效益”,转而主动寻求“协同控制”温室气体和局地大气污染物,为统筹全球和国内(局地)两个减排战场,提供了从认识论、方法论到实践论的全方位支持。中国学者在国内外协同效益、协同控制研究基础上,构建协同控制效应评价和协同控制路径规划方法,并通过多个行业、城市、区域的案例研究证实了该方法体系的科学性和可行性。“协同控制”也已上升成为国家应对气候变化和持续改善大气环境质量的重要策略。在中国推进美丽中国建设、实现碳达峰目标和碳中和愿景的过程中,协同控制的理念、措施、政策将发挥愈加重要的作用。未来,协同控制研究需要将所关注的对象要素,从仅局限于大气扩展至整个生态环境系统;而对建立协同控制的治理体系的研究,将成为实现宏观层面气候变化与生态环境治理协同的关键。  相似文献   

18.
19.
This paper investigates how the notion of future is represented in a large corpus of English-language blogs related to climate change, with an overarching interest in exploring to what extent the perspectives of gloom-and-doom versus more positive perspectives of a sustainable society are represented. We address the following questions: (1) How are representations of the future expressed linguistically in public debates related to climate change? (2) What meanings do the representations convey? Our principal contribution is a set of nine meaning categories that characterize different representations of the future: the categories were derived by following a corpus-assisted discourse analysis approach. Within these categories, the large presence of characterisations related to sustainability, as well as frequent positive value-laden characterisations, are noteworthy. Representations reflect various perspectives of a future for humanity, for nature, and for countries as well as for economies. Further, we have found that when climate change is viewed as a threat, it is in relation to nature, humans and security, while it is seen as an opportunity for growth in business and industry. The results provide knowledge on how people conceive the possible impacts of global climate and environmental change within two broad perspectives of a “gloom-and-doom” versus a “bright” future. This may contribute to an improved basis for political decision making on measures in order to avoid dangerous consequences as well as to encourage engagement in the shift toward a low-carbon future.  相似文献   

20.
采用哥本哈根学派提出的安全化方法,对中美气候安全化水平进行对比,结果表明:安全是一种主体间现象,通过中美气候安全化水平的对比,可以清楚地识别出中国处于由政治权威、科学权威作为安全化主体的高强度“安全化”过程中,而美国正处于由政治权威引导的“反安全化”过程。“主体间性”是安全化主体之间对存在性威胁的认同程度,中国气候安全化的主体间性与气候安全化进程不协调,表现为中国政治高层的气候安全化水平较高,而公众的安全化水平相对较低。气候安全存在性威胁表达是制约中国公众气候安全化水平的重要因素,表现为安全化视角和媒介单一。建议通过引入全球视角和图形化等方式增强存在性威胁表达效果,以提升中国气候安全化水平。  相似文献   

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