2022
DOI: 10.32942/osf.io/r3ysc
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Realising the potential of real-time online monitoring for conservation culturomics

Abstract: Environmental monitoring is increasingly shifting towards a set of systems that describe changes in real-time. In ecology specifically, a series of challenges have prevented the roll-out of real-time monitoring for features such as biodiversity change or ecosystem service provision. Conservation culturomics, a field concerned with interactions between people and nature, is well-placed to demonstrate how monitoring might move towards a network of real-time platforms, given its existence almost exclusively in th… Show more

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Cited by 2 publications
(2 citation statements)
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“…A related study based on Wikipedia page views for all extant species of birds found that farmed species and species in the pet bird trade were particularly prominent over multiple language editions (Mittermeier et al, 2021). These examples demonstrate how culturomic metrics can be used to capture and quantify different aspects of human interest in nature at scales that are beyond the reach of standard social surveys (see also Fink et al, 2020;Falk and Hagsten, 2022;Johnson et al, 2023).…”
Section: Cultural Willingness and Motivation To Prevent Extinctionmentioning
confidence: 95%
“…A related study based on Wikipedia page views for all extant species of birds found that farmed species and species in the pet bird trade were particularly prominent over multiple language editions (Mittermeier et al, 2021). These examples demonstrate how culturomic metrics can be used to capture and quantify different aspects of human interest in nature at scales that are beyond the reach of standard social surveys (see also Fink et al, 2020;Falk and Hagsten, 2022;Johnson et al, 2023).…”
Section: Cultural Willingness and Motivation To Prevent Extinctionmentioning
confidence: 95%
“…With increased access to the internet, now at 66% globally (International Telecommunication Union, 2022), alongside greater access to data sources such as social media platforms, and advances in machine learning, cloud computing, and natural language processing, new kinds of social science analyses are now available (Fink et al, 2020). It is now possible to understand how attitudes and behaviors toward different elements of biodiversity vary in real time at local, national, and global scales (Fink et al, 2020;Johnson et al, 2023)-a key requirement of the GBF. Such insights can in turn inform policy in a more responsive and cost-effective manner (Caetano et al, 2023).…”
Section: Integrating Digital Indicators Into Gbfmentioning
confidence: 99%