Download This PaperAlgorithmically Embodied Emissions: The Environmental Harm of Everyday Life Information in Digital Culture
Haider, J., Rödl, M., & Joosse, S. (2022). Algorithmically embodied emissions: the environmental harm of everyday life information in digital culture. Information Research, 27(Special issue), paper colis2224. Retrieved from http://InformationR.net/ir/27-SpIssue/CoLIS2022/colis2224.html https://doi.o
10 Pages Posted: 19 May 2022 Last revised: 26 Apr 2024
Date Written: 2022
Abstract
This conceptual paper introduces the notion of algorithmically embodied emissions to highlight how everyday choices facilitated by commercial algorithmic information systems such as commercial search engines, social media and recommender systems contribute to the climate crisis and other forms of environmental destruction.
Method/Analysis. The proposed concept is developed by integrating terminology from the fields of information studies, critical algorithm studies and environmental impact assessment, and by examining a strategic selection of examples.
Results. Through the examples, the authors show that semantic interpretation of queries, as well as the information architecture, involve normative dimensions with implications for the climate crisis and other forms of environmental destruction.
Conclusions. The paper proposes a terminological framework that integrates conceptual considerations from environmental impact assessment, environmental communication, information studies and critical algorithm studies to articulate how algorithmic information systems are co-constitutive of environmental harm. The paper further suggests to extend environmental impact assessment to include algorithmic harms in order to take into account how responsibility and accountability are distributed among different actors with profoundly different conditions and opportunities to exercise them. Pu
Keywords: environmental information, environmental communication, algorithms, critical algorithm studies, algorithmic harm, climate change, search engines, algorithmic impact assessment, environmental impact assessment, emissions
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