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ZENODO
Report . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
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Social media as a source of data for environmental science & monitoring

Authors: Bell, Patrick; Pocock, Michael; Grew, Robert; August, Tom; Bee, Emma; Chamberlain, Jon; Fox, Nathan; +4 Authors

Social media as a source of data for environmental science & monitoring

Abstract

Over the past fifteen years social media has transformed our social lives, communications and business. In this guidance note we explore how social media can support environmental monitoring and research, and how its potential can be realised. We explore why social media is valuable e.g. a huge amount of ‘real time’ data, opportunities for increased engagement and gaining information on people’s interactions with their environment. We also explore its challenges, including the technicalities (and ethics) of collating and re-using data from social media sites and issues of data quality and bias. Six Case Studies, from a symposium organised by the UKEOF Citizen Science Working Group (www.ukeof.org.uk/our-work/citizen-science), show how this has been put in practice. We hope that this will facilitate further discussion and collaboration on the use of social media for environmental monitoring and research.

Keywords

Environmental sciences, Citizen Science, Environment

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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