Empirically measuring algorithmically embodied emissions of information access systems

Florian Maximilian Meier; David Elsweiler

doi:10.5281/zenodo.17155939

Empirically measuring algorithmically embodied emissions of information access systems

Florian Maximilian Meier, David Elsweiler

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

Abstract

In this short talk, we aim to introduce a draft framework for empirically measuring the algorithmically facilitated emissions of algorithm-driven information access systems. We will do so by linking to relevant research in the fields of IR and RecSys, especially with respect to research on fairness and diversity, as sustainable information in SERPs is not equally well represented due to biased ranking algorithms.

Original language	English
Publication date	2025
DOIs	https://doi.org/10.5281/zenodo.17155939
Publication status	Published - 2025
Event	Inaugural Conference of the Search Engines and Society Network (SEASON2025) - Hamburg, Germany Duration: 24 Sept 2025 → 25 Sept 2025 https://searchenginesandsociety.net/

Conference

Conference	Inaugural Conference of the Search Engines and Society Network (SEASON2025)
Country/Territory	Germany
City	Hamburg
Period	24/09/2025 → 25/09/2025
Internet address	https://searchenginesandsociety.net/

Keywords

Information access
LLM
Carbon emission

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10.5281/zenodo.17155939Licence: CC BY 4.0

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abstract = "In this short talk, we aim to introduce a draft framework for empirically measuring the algorithmically facilitated emissions of algorithm-driven information access systems. We will do so by linking to relevant research in the fields of IR and RecSys, especially with respect to research on fairness and diversity, as sustainable information in SERPs is not equally well represented due to biased ranking algorithms.",

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author = "Meier, \{Florian Maximilian\} and David Elsweiler",

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Empirically measuring algorithmically embodied emissions of information access systems. / Meier, Florian Maximilian; Elsweiler, David.
2025. Abstract from Inaugural Conference of the Search Engines and Society Network (SEASON2025), Hamburg, Germany.

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Empirically measuring algorithmically embodied emissions of information access systems

AU - Meier, Florian Maximilian

AU - Elsweiler, David

PY - 2025

Y1 - 2025

N2 - In this short talk, we aim to introduce a draft framework for empirically measuring the algorithmically facilitated emissions of algorithm-driven information access systems. We will do so by linking to relevant research in the fields of IR and RecSys, especially with respect to research on fairness and diversity, as sustainable information in SERPs is not equally well represented due to biased ranking algorithms.

AB - In this short talk, we aim to introduce a draft framework for empirically measuring the algorithmically facilitated emissions of algorithm-driven information access systems. We will do so by linking to relevant research in the fields of IR and RecSys, especially with respect to research on fairness and diversity, as sustainable information in SERPs is not equally well represented due to biased ranking algorithms.

KW - Information access

KW - LLM

KW - Carbon emission

UR - https://easychair.org/smart-program/SEASON2025/

U2 - 10.5281/zenodo.17155939

DO - 10.5281/zenodo.17155939

M3 - Conference abstract for conference

T2 - Inaugural Conference of the Search Engines and Society Network (SEASON2025)

Y2 - 24 September 2025 through 25 September 2025

ER -

Empirically measuring algorithmically embodied emissions of information access systems

Abstract

Conference

Keywords

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