scholarly journals Evaluating the computational (“Big Data”) turn in studies of media coverage of climate change

Author(s):  
Myanna Lahsen
2019 ◽  
Vol 28 (7) ◽  
pp. 797-811 ◽  
Author(s):  
Brianne Suldovsky ◽  
Asheley Landrum ◽  
Natalie Jomini Stroud

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.


2021 ◽  
pp. 194016122110180
Author(s):  
Meghan M. Shea ◽  
James Painter ◽  
Shannon Osaka

While studies have investigated UN Framework Convention on Climate Change (UNFCCC) meetings as drivers of climate change reporting as well as the geopolitical role of Pacific Islands in these international forums, little research examines the intersection: how media coverage of Pacific Islands and climate change (PICC) may be influenced by, or may influence, UNFCCC meetings. We analyze two decades of reporting on PICC in American, British, and Australian newspapers—looking at both volume and content of coverage—and expand the quantitative results with semi-structured interviews with journalists and Pacific stakeholders. Issue attention on PICC increases and the content changes significantly in the periods around UNFCCC meetings, with shifts from language about vulnerability outside of UNFCCC periods to language about agency and solutions. We explore the implications of these differences in coverage for both agenda setting and the amplification of emotional appeals in UNFCCC contexts.


2020 ◽  
pp. 096366252097601
Author(s):  
Nicole Kay ◽  
Sandrine Gaymard

Climate change is a global environmental issue and its outcome will affect societies around the world. In recent years, we have seen a growing literature on media coverage of climate change, but, to date, no study has assessed the situation in Cameroon, although it is considered to be one of the world’s most affected and vulnerable regions. This study attempted to address this deficit by analysing how climate change is represented in the Cameroonian media. A similarity analysis was performed on three newspapers published in 2013–2016. Results showed that climate coverage focused on politics and international involvement. It seems disconnected from local realities, potentially opening up a spatial and social psychological distance. The relationship between the representation of climate change and that of poverty is an area for further exploration.


2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Eileen A. Lacey ◽  
Talisin T. Hammond ◽  
Rachel E. Walsh ◽  
Kayce C. Bell ◽  
Scott V. Edwards ◽  
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Keyword(s):  

2017 ◽  
Vol 8 (2) ◽  
pp. 88-105 ◽  
Author(s):  
Gunasekaran Manogaran ◽  
Daphne Lopez

Ambient intelligence is an emerging platform that provides advances in sensors and sensor networks, pervasive computing, and artificial intelligence to capture the real time climate data. This result continuously generates several exabytes of unstructured sensor data and so it is often called big climate data. Nowadays, researchers are trying to use big climate data to monitor and predict the climate change and possible diseases. Traditional data processing techniques and tools are not capable of handling such huge amount of climate data. Hence, there is a need to develop advanced big data architecture for processing the real time climate data. The purpose of this paper is to propose a big data based surveillance system that analyzes spatial climate big data and performs continuous monitoring of correlation between climate change and Dengue. Proposed disease surveillance system has been implemented with the help of Apache Hadoop MapReduce and its supporting tools.


2021 ◽  
pp. 1-22
Author(s):  
Shumaila Bhatti ◽  
Bridget Jones ◽  
Sri Saahitya Uppalapati ◽  
Silje Kristiansen

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