@Article{Lahsen:2022:EvCo“B,
               author = "Lahsen, Myanna Hvid",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Evaluating the computational (“Big Data”) turn in studies of media 
                         coverage of climate change",
              journal = "Wiley Interdisciplinary Reviews: Climate Change",
                 year = "2022",
               volume = "13",
               number = "2",
                pages = "e752",
                month = "Mar./Apr.",
             keywords = "big data, meaning-making, media coverage, small data, 
                         vulnerability.",
             abstract = "Machine-assisted big data (MABD) research is enabling quantitative 
                         studies of large-scale social phenomena, including societal 
                         responses to climate change. The rise of MABD science is causing 
                         both enthusiasm and concerns. Reviewing prominent criticisms of 
                         MABD and their relevance for MABD explorations of macro-structural 
                         factors shaping media coverage of climate change, this article 
                         finds that the quality and contributions of such studies depend on 
                         avoiding common pitfalls. The review focuses specifically on MABD 
                         studies' attempts to identify and make sense of correlationsor 
                         lack thereofbetween climate vulnerability and climate coverage in 
                         different countries. The review draws on insights from a single, 
                         nationally focused, context-attentive, and relatively more 
                         qualitative small data study in the Global South (Brazil) to shed 
                         critical light on assumptions, claims, and policy recommendations 
                         made based on the computer-assisted macro-studies. The review 
                         illustrates why more narrowly focused and qualitative small data 
                         studies are complementary and indispensable. Besides providing 
                         vital understanding of causal relationships that elude MABD 
                         studies, more narrowly focused and context-sensitive qualitative 
                         studies can foster understanding of the consequential mediating 
                         roles of place-specific meaning-making and political strategizing 
                         in how climate and weather phenomena are framed by social actors 
                         and mass media in particular places. These are dimensions that 
                         escape the Big Data quantitative methods, but that are vital to 
                         sound policy advice, as illustrated by the Small Data research 
                         from Brazil. This article is categorized under: Social Status of 
                         Climate Change Knowledge > Knowledge and Practice.",
                  doi = "10.1002/wcc.752",
                  url = "http://dx.doi.org/10.1002/wcc.752",
                 issn = "1757-7780",
             language = "en",
           targetfile = "WIREs Climate Change - 2022 - Lahsen - Evaluating the 
                         computational Big Data turn in studies of media coverage of.pdf",
        urlaccessdate = "25 jun. 2024"
}