Report on the First Ethical Web Science Workshop (EWSW 2025) at the ACM Web Science Conference 2025 (WebSci 2025)

The Web Science conference series (WebSci) is an established venue for Web related research in an interdisciplinary field dedicated to understanding the complex and multiple impacts of the Web on society and vice versa. This is where the Ethical Web Science Workshop kicks in-by bringing together quantitative, qualitative and mixed methods research, including techniques from the social sciences and computer science. The Workshop aims at investigating ethics in research and Web-based data collections. To this end, explainability is a core aspect of Ethical Web Science. Systems failing to deliver data without providing accessible and meaningful to stakeholders risk perpetuating opacity and eroding trust. Hence, explainability is not only a technical problem but a fundamental ethical issue. Thus, the workshop investigates the shift in global digital discourse from a technical and societal point of view. Date: 20 May, 2025. Website: https://ethical-web-science.github.io.

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Publication Details

Journal
ACM SIGIR Forum
Published
2025-12-01
DOI
https://doi.org/10.1145/3799914.3799923
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Report on the First Ethical Web Science Workshop (EWSW 2025) at the ACM Web Science Conference 2025 (WebSci 2025)

Gaël Dias, John Erickson, Oshani Seneviratne
ACM SIGIR Forum
Ethics and Social Impacts of AI
article

Report on the First Ethical Web Science Workshop (EWSW 2025) at the ACM Web Science Conference 2025 (WebSci 2025)

Gaël Dias, John Erickson, Oshani Seneviratne
article en

Abstract

The Web Science conference series (WebSci) is an established venue for Web related research in an interdisciplinary field dedicated to understanding the complex and multiple impacts of the Web on society and vice versa. This is where the Ethical Web Science Workshop kicks in-by bringing together quantitative, qualitative and mixed methods research, including techniques from the social sciences and computer science. The Workshop aims at investigating ethics in research and Web-based data collections. To this end, explainability is a core aspect of Ethical Web Science. Systems failing to deliver data without providing accessible and meaningful to stakeholders risk perpetuating opacity and eroding trust. Hence, explainability is not only a technical problem but a fundamental ethical issue. Thus, the workshop investigates the shift in global digital discourse from a technical and societal point of view. Date: 20 May, 2025. Website: https://ethical-web-science.github.io.

ACM SIGIR ForumVol. 59(2)
Centre National de la Recherche Scientifique (FR), Rensselaer Polytechnic Institute (US), Normandie Université (FR), Université de Caen Normandie (FR)
Openalex Percentile: Top 16%
Ethics and Social Impacts of AI
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