Unreflective use of old data sources produced echo chambers in the water–electricity nexus

Echo chambers in science describe the amplification and repetition of information within closed networks. Frequently used data sources can cause echo chambers as scientists keep reading similar outputs from different sources, creating false perceptions of certainty and variety of data sources. We sh...

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Bibliographic Details
Main Authors: Gerbens-Leenes, P.W (Author), Hubacek, K. (Author), Nonhebel, S. (Author), Vaca-Jiménez, S. (Author)
Format: Article
Language:English
Published: Nature Research 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02066nam a2200265Ia 4500
001 10.1038-s41893-021-00686-7
008 220427s2021 CNT 000 0 und d
020 |a 23989629 (ISSN) 
245 1 0 |a Unreflective use of old data sources produced echo chambers in the water–electricity nexus 
260 0 |b Nature Research  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1038/s41893-021-00686-7 
520 3 |a Echo chambers in science describe the amplification and repetition of information within closed networks. Frequently used data sources can cause echo chambers as scientists keep reading similar outputs from different sources, creating false perceptions of certainty and variety of data sources. We show this effect by studying the scientific and grey literature on water use by electricity systems. The power sector is the largest contributor to anthropogenic carbon emissions and the second largest water consumer. We have assessed the scope and references of 2,426 papers and created a citation network to trace original data sources. Most data sources used for the last 30 years originate from a few old US publications, recently also Chinese, that echo through publications. This echo effect, also reflected in recent scientific publications, creates a confirmation bias, also facilitating double counting of the water intensities of electricity generation. This example from sustainability science warns of the risk of echo chambers in other scientific disciplines. © 2021, The Author(s), under exclusive licence to Springer Nature Limited part of Springer Nature. 
650 0 4 |a Anthropogenic carbon 
650 0 4 |a Citation networks 
650 0 4 |a Confirmation bias 
650 0 4 |a Electricity generation 
650 0 4 |a Electricity system 
650 0 4 |a Scientific discipline 
650 0 4 |a Scientific publications 
650 0 4 |a Sustainability science 
700 1 |a Gerbens-Leenes, P.W.  |e author 
700 1 |a Hubacek, K.  |e author 
700 1 |a Nonhebel, S.  |e author 
700 1 |a Vaca-Jiménez, S.  |e author 
773 |t Nature Sustainability